Senior Data Scientist

Senior Data Scientist
LiveRamp is the leading data connectivity platform for the safe and effective use of data. Our platform powers people-based customer experiences that improve the relevance of marketing and allow consumers to connect with the brands and products they love. We thrive on solving fascinating technical problems and enabling our customers’ success—and we’re always looking for smart, kind, compassionate people to help us blaze a trail.
Mission: LiveRamp makes it safe and easy for businesses to use data effectively.
About this role
As a Measurement and Insights Services Consultant, you will be responsible for supporting the design, development and delivery of measurement solutions that enable customers to derive actionable insights from LiveRamp’s suite of products.  This role is dynamic and diverse, requiring you to be innovative yet logical in applying statistical methods and analytical solutions.  You will support LiveRamp customers and senior members of the team by generating campaign analysis, building attribution models, and creating custom reports and queries that utilize large volumes of data from a variety of sources including digital media, television and first-party CRM.  You will leverage your technical and analytical skills to deliver thoughtful insights that inform client business decisions.
To be successful as a Services Consultant on the Measurement and Insights Team, you should be comfortable using technical tools, eager to dive into technical and analytical detail, knowledgeable about statistical concepts, and creative in developing measurement solutions.
You will:

Become an expert in LiveRamp products and be able to anticipate customer needs and suggest appropriate solutions
Collaborate with clients and the rest of the Global Services team to understand client business goals, define an approach, and deliver results
Work closely with our largest clients across multiple products to deliver custom analyses and white glove service
Apply an analytical approach to problem solving, troubleshooting, and understanding client needs
Develop statistical and analytical models to drive business recommendations and insights
Drive customer discovery sessions to gain a deep understanding of client requirements and leverage platform to deliver results
Prepare compelling analytical presentations and effectively communicate statistical and technical concepts to non-technical audiences
Identify measurement challenges and develop practical recommendations to solve business problems
Provide mentorship and guidance to other team members where necessary

About you:

Have a Bachelor’s degree in Business, Marketing, Math, Statistics, Economics, Computer Science or other quantitative discipline
4-7 years of relevant experience in an analytical role within advertising, advertising technology, or marketing technology industry
5 years of marketing analytics experience with designing experiments, developing statistical models, measuring campaigns and identifying opportunities for optimization and improvement or comparable experience using data and analytics
Critical thinking – capable of generating consistently accurate, useful reports as well as enthusiasm for translating data into actionable insight relevant to marketing program objectives
Strong quantitative and research skills with proven ability to demonstrate data interpretation capabilities in terms of reporting and dashboards
Attention to detail and time management delivering high quality, client-ready work for multiple projects across several client engagements while meeting deadlines
Ability to articulate strategic marketing implications of campaign performance results for business audiences with clarity and persuasiveness
Hands-on fluency in performing data and statistical analysis using SQL, Python, BigQuery, R, Tableau, and/or others with minimal supervision
Proficient in integrating multiple data sources (1st-party, 3rd-party, media activity) and utilizing creative analytical approaches to answer client audience insight or campaign performance questions
Practical experience with statistical modeling, marketing test design, and audience segmentation
Comfortable with and has experience working in ambiguous environments while working in a consultative manner with customers
Exceptional EQ
Action-oriented and independent with hands-on experience delivering business results
Willingness and desire to learn and adopt new skills - both technical and non-technical - in order to craft and deliver the best solutions

Benefits:

People: work with talented, collaborative, and friendly people who love what they do.
In-Office Food: enjoy catered meals, boundless snacks, and the occasional food truck.
Fun: we host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.
Work/Life Harmony: flexible paid time off, remote work opportunities, and paid parental leave.
Whole Health Package: medical, dental, vision, and disability insurance. Plus mental health support (via Talkspace) and fitness reimbursement up to $100 per month.
Savings: our 401K matching plan helps you plan ahead.
Remote Work Support: a comprehensive program to assist you in setting up a home office that works for you
Location: work in the heart of your home for now. Once our offices are back open, work in the heart of San Francisco, New York, or Remote

More about us:
LiveRamp’s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles—one that informs how we hire, train, and grow our global team across eight countries and four continents.
LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.

California residents: Please see our California Personnel Privacy Policy for more information regarding how we collect, use, and disclose the personal information you provide during the job application process.

To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.

#LI-REMOTE


Senior Data Scientist

What is Bigfoot Biomedical?

Bigfoot believes people living with insulin-requiring diabetes deserve relief from its daily burden. We envision a world where the emotional, mental, physical, and financial burden of diabetes has been significantly reduced. We are passionately dedicated to delivering simpler, safer, and more effective solutions for life with insulin.

We are personally committed to the mission of improving the lives of people with diabetes through the application of smart technology. We bring deep and nuanced understanding of customer needs, demonstrated technical capabilities in developing and commercializing technology, and proven business acumen in funding and growing startups into profitable publicly traded enterprises.

What we are building at Bigfoot Biomedical

Bigfoot is building diabetes management solutions integrating data, software, smart devices, and people. This is your chance to join a very talented team!

As a key member of Bigfoot’s Computational Sciences team, the Senior Data Scientist is responsible for creation of new algorithms, statistical models, and the examination of Bigfoot’s data resources to answer questions and develop new products.

Essential Duties and Responsibilities:

Define and refine problem statements and questions posed to the computational sciences group
Gather, clean, and collate data to answer questions
Plan and execute analysis plans to answer questions and develop new product solutions
Stay up to date on advancements in data science especially related to diabetes

Education and Experience Requirements:

MS degree in quantitative field with a minimum of 5+ years of experience analyzing data to address problems in industry OR human physiological data
Demonstrated ability to create solutions to problems using data
Knowledge of best practices for dealing with real data: data cleaning, model creation, model testing

Additionally, the ideal candidate will possess the following:
  Python with pandas
  AWS data workflows
  Visualization and communication of insights
  SQL
  Unix/Linux Operating Systems
  Time Series Methods
  Hypothesis Testing
  Algorithms and Data Structures
  Parallel Programming
  Human Physiology
   Anomaly Detection
   Experience in an FDA-regulated environment, a strong plus.

Physical Demands:

  Ability to sit or stand to perform work.
  Manual dexterity to use computer systems and cellular phones.

What will you do at Bigfoot Biomedical?

What you do here at Bigfoot will largely be defined by your existing skills and desire to grow to help us achieve the above. We have an employee-friendly working environment that provides bike racks and showers, lunch and snacks, and flexible hours. Our culture helps us stay focused on our goals.

We have competitive benefits. We have a great team culture. We understand that we all need to succeed as a team. We have fun while we're building a solution we can be proud of.

If you're ready to make a dent in the universe, join the mission, and feel like what you do every day isn't just a job, come talk to us!

Bigfoot Biomedical, Inc., provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law.


Principal Data Scientist Ecosystem

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
Does the challenge of scaling a fast-growing company by powering it with data and analytics excite you? Using your business instincts and creativity, you will support an outstanding product with nuanced analysis, relevant insights, and recommendations. We're growing quickly, so you'll need to help define the processes for sustainable growth across the marketing and analytics organizations. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, then this role is a great fit!
Atlassian is looking for a Principal Data Scientist with technical and leadership skills to be the primary analytics partner to our Ecosystem marketing team. We're looking for someone with business instincts, creativity, analytics mastery, and experience working with cross-functional teams; someone who is passionate about applying these skills to build a measurement culture connected to business impact.
What you'll do
Work with Marketing and Product Leaders in the Ecosystem team to identify high impact opportunities for analytics, and align Analytics & Data Science priorities with the team roadmapInform growth strategy, important decisions, and customer and developer messaging for Atlassian's Ecosystem PlatformEnvision, scope, and lead high impact projects by collaborating with marketing, product, engineering, and other data scientistsPromote a measurement culture and understand the impact of our internal strategy, including designing and analyzing experiments and campaignsShare your high-quality recommendations with multiple levels of leadership to guide impactful decisionsFoster a world-class analytics culture, leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisions
Your background
Experience applying your analytics skills to identify and lead projects which have had impact on strategic and marketing roadmap decisions8+ years of experience in analytics or related fieldsExpertise in SQL and proficiency in another data science programming language (e.g Python, R)An Agile development mindset, appreciating the benefit of constant iteration and improvementA very high bar for output quality, while balancing "having something now" vs. "perfection in the future"Comfort explaining complex concepts to diverse audiences and creating compelling storiesExperience translating insights into actions that have a direct business impactExperience using statistics as part of your roleExperience with at least one analytics and visualization tool such as Tableau, Looker, etc.


Senior Data Scientist Full Stack

AVAILABLE POSITIONS Senior Data Scientist (Full Stack)
Zynga is a leading developer of the world’s most popular social games, played by tens of millions of people around the world each day. To date, more than 1 billion people have played our games across Web and mobile, including FarmVille, Zynga Poker, Words With Friends, Harry Potter: Puzzles & Spells, Merge Dragons!, Empires & Puzzles, Hit it Rich! Slots, Toy and Toon Blast, and CSR Racing.
The Marketing ML team is a group of full-stack data scientists charged with building core products for the measurement, optimization, and automation of marketing functions across this vast portfolio. These products are vital to Zynga’s marketing success, informing all facets from operational and executive decision-making.
As a full-stack data scientist, you will use your expertise across machine learning, software engineering, and business analytics to build end-to-end solutions that scale across our broad portfolio, embody CI/CD standard processes for continuous operations/improvements, and provide prescriptive actions to some of the most exciting problems in the marketing space. You will be entrusted with key initiatives and given a fair amount of autonomy, so it is critical that you bring technical excellence, a mind for architecture, and a mature sense for timelines to this role.
Responsibilities:
Use our modern tech stack, AWS (Redshift & Kinesis), Databricks and PySpark, Airflow, and Tableau to develop innovative tools
Apply statistical methodologies to evaluate performance and account for uncertainties in major initiatives
Implement groundbreaking machine-learning pipeline technologies to scale and propel the marketing analytics function
Providing inventive thought leadership in the architecture of our pipelines
Design and develop in a CI/CD environment
Required Skills and Experience:
A strong statistical background building sophisticated models that can reasonably describe actual underlying data generation processes. Experience with Bayesian modeling preferred
Experience exploring and implementing innovative ML/AI methods and the ability to apply that knowledge broadly across our various data pipelines to improve efficacy and efficiency
Experience crafting large-scale ML pipelines using technologies such as AWS tools, Databricks, and Airflow. Proficiency in SQL and Python is needed
Full-stack knowledge, especially around software-engineering principles such as modularity, automated testing, and documentation
Strong mentorship skills
4+ years of work experience in data science, machine learning or analytics roles
BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters or PhD strongly preferred
Zynga is an equal opportunity employer. We are proud of our diverse community; we do not discriminate on the basis of race, sex, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, medical condition, disability, or any other class or characteristic protected by applicable law. We welcome candidates, players, employees, and partners from all backgrounds. Join us!
Zynga will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.
What we offer you:
Zynga Stock RSUs and Bonus Plan
Full medical, dental, vision benefits as well as life insurance
Generous Paid Maternity/Paternity leave
Open vacation policy for all full time employees
Flexible working hours on many teams
Work alongside driven individuals towards a common goal
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We are an equal opportunity employer and we are committed to building a diverse and talented workforce. We do not discriminate on the basis of race, sex, religion, colour, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, medical condition, disability, or any other class or characteristic protected by applicable law. We welcome job-seekers, players, employees, and partners from all backgrounds to join us!
We will consider all qualified job-seekers with criminal histories in a manner consistent with applicable law.
We are committed to providing reasonable accommodations to qualified individuals with physical or mental disabilities in order to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.  Please contact us at AccommodationRequest@zynga.com to request an accommodation associated with your application for an open position.
This is a fully remote role that may be based anywhere in the United States. The pay range for this position for applicants based in Colorado at the start of employment is expected to be between $133,000 – $148,000 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.   Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits.  Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Zynga does not  engage in financial exchanges during the recruitment or onboarding process. We do not conduct job interviews over third-party messaging apps such as Telegram, WhatsApp or others. We will never ask you for your personal or financial information over unofficial chat channels. Our in-house recruitment team only contacts individuals via official company email addresses (i.e., via a zynga.com or naturalmotion.com email domain).
If you believe you have been the victim of a scam, you may wish to contact the authorities. In the United States, you may file a complaint with the FBI. More information is available here: https://www.ic3.gov.
Careers Category: Data, Analytics & User Research
Careers location: Austin, TX, Remote, US
Connected Worker Type: Connected, Onsite, Offsite
Select Your Country of Residence
Apply


Senior Data Scientist Words With Friends

AVAILABLE POSITIONS Senior Data Scientist – Words with Friends
Zynga is a leading developer of the world’s most popular games that are played by people around the world every single day. To-date, more than 1 billion people have played our games including Empires & Puzzles, Toon Blast, FarmVille, Words With Friends, Zynga Poker, Merge Dragons, Hit it Rich! Slots and CSR.
The big part of the success of all of Zynga’s games is insightful and innovative ways of using data. Zynga’s Data Science and Analytics team uses the latest analytics technologies across our expansive data to deliver fundamental insights on who our audience is, how they engage with our games, and what are the best ways to personalize their in-game experience. We strive for a better understanding of our players which translates into challenges and features that delight them.
What we are looking for is a passion for analytics and data science and the ability to impact game performance through customer-centric, data-driven initiatives. This role will work closely with the Words with Friends team at Zynga to identify and act on, opportunities to increase engagement, retention, revenue, optimization, and to improve the player experience for our customers. Furthermore, the role entails close coordination with the wider Zynga’s analytics team to provide novel opportunities based on shared insights as well as an introduction on new analytics methods.
This is a great opportunity for an analytics expert looking to build end-to-end data solutions to generate impactful insights and work on exciting, large-scale projects. Furthermore, you’ll have a chance to tackle a variety of projects ranging from creating intuitive dashboards to owning advanced data science solutions, as well as becoming a thought leader in analytics to facilitate coordination of global initiatives.
Lastly, this role requires strong technical skills across a wide spectrum, including strong proficiency in scripting languages such as SQL and Python, telemetry definition and data modeling, data aggregation and manipulation, customer analytics, business intelligence, data visualization, and data science techniques.
Main Responsibilities:

Act as a thought leader, suggesting opportunities and driving analytics value for Words with Friends and the wider Zynga business both strategically and operationally.

Work closely with the product leadership with a focus on generating actionable insights and end-to-end data solutions that have a measurable impact on the core KPIs.

Specifically, you may encounter projects focused on: modeling the in-game economy through simulation, personalizing our in-game store using recommendation algorithms, or combating fraud and abusive behavior through near-real-time interventions.

Proactively bring forth new analytical approaches and data science solutions to our team. Collaborate with engineers to drive key strategic initiatives for the improvement of the data and analytics infrastructure.

Be a champion of best practices when defining telemetry events, architecting data models, and defining data quality governance.

Leverage our modern tech stack, AWS (Redshift & Kinesis), Databricks and PySpark, Airflow, and Tableau to identify opportunities to improve the experience that Zynga provides to its players.

Own experimentation efforts, including experimental design and analysis.

Desired Skills and Experience:

Bachelor’s degree in Math, Statistics, Computer Science, Economics, Operations Research, or other quantitative field required.

4+ years of relevant work experience in data science or analytics roles; game industry experience is a bonus.

Demonstrated experience with the following: machine learning, predictive modeling, statistics, experimental design, computational analytics, econometric modeling.

Strong experience in SQL, Python, and fluent in other programming languages; Experience in applying machine learning on large datasets. Familiarity with Databricks is a bonus.

Skilled in at least one visualization tool such as Tableau.

Strong written and oral communication skills.

Ability to work effectively in a fast-paced environment with changing priorities.

Comfortable working in different work environments and cultures with ease.

Able to coordinate complex initiatives with different stakeholders.

Passion for gaming.

What we offer you:
Competitive salary, bonus plan, Take-Two RSU’s (Restricted Stock Units), ESPP (Employee Stock Purchase Plan)
401K Company Match Contribution (US)
RRSP Company Match Contribution (Canada)
Extended Health coverage, dental, disability, critical illness, EAP, and life insurance (Canada)
Medical, dental, vision, EAP, life insurance, and disability benefits (US)
Virtual mental health and neurodiversity support programs
Fitness benefits (offering varies by location)
Financial wellness program with unlimited access to certified financial planners
Discretionary Time Off policy for many employees
Family planning support program
Generous paid maternity/parental leave
Subsidized Back-up child care
Zynga happy hours and frequent employee events
Flexible working hours on many teams
Culture of diversity and inclusion including employee resource groups
Work with cool people and impact millions of daily players
We are an equal opportunity employer and we are committed to building a diverse and talented workforce. We do not discriminate on the basis of race, sex, religion, colour, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, medical condition, disability, or any other class or characteristic protected by applicable law. We welcome job-seekers, players, employees, and partners from all backgrounds to join us!
We will consider all qualified job-seekers with criminal histories in a manner consistent with applicable law.
We are committed to providing reasonable accommodations to qualified individuals with physical or mental disabilities in order to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.  Please contact us at AccommodationRequest@zynga.com to request an accommodation associated with your application for an open position.
This is a fully remote role that may be based anywhere in the United States. The pay range for this position for applicants based in Colorado at the start of employment is expected to be between $118,000 and $133,000 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.   Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits.  Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Zynga does not  engage in financial exchanges during the recruitment or onboarding process. We do not conduct job interviews over third-party messaging apps such as Telegram, WhatsApp or others. We will never ask you for your personal or financial information over unofficial chat channels. Our in-house recruitment team only contacts individuals via official company email addresses (i.e., via a zynga.com or naturalmotion.com email domain).
If you believe you have been the victim of a scam, you may wish to contact the authorities. In the United States, you may file a complaint with the FBI. More information is available here: https://www.ic3.gov.
Careers Category: Data, Analytics & User Research
Careers location: Remote, US
Select Your Country of Residence
Apply


Lead Data Scientist Supply Chain Us

OVERVIEW
To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Lead Data Scientist at General Mills, you will apply your advanced expertise in machine learning, optimization and information retrieval to design, prototype and build a next generation supply chain engine and services. You will serve as the technical leader for an enterprise level supply chain data science initiative. You will be responsible for designing the analytic architecture, constructing machine learning models, and communicating with product owners, business partners and other data scientists.
RESPONSIBILITIES
Work closely with data science leadership, engineering, and business partners to develop optimization and machine learning models using best in class tools and technology.Create production ready, scalable models that provide real time insights that align with General Mills technology standards.Serve as a senior leader as part of the data science leadership team- contribute to technical strategy, best practices, and team development.Mentor and coach junior data scientist on key technical and domain topics.Act as a thought leader in supply chain data science techniques and represent the Digital and Technology organization.Partner with functional analytic teams to align and integrate solutions.
MINIMUM QUALIFICATIONS
Master’s degree in computer science, operations research, engineering or related quantitative field or commensurate work experience in supply chain technology or data science.5+ years of professional experience developing and deploying machine learning algorithms in a production environment.Proficient in one or more coding languages including PythonExperience with graph database technology preferredExpertise with leading the development of large-scale optimization, simulation, and network-based models.Highly adaptable, curious, and willing to work independently on complex and challenging problems.There is no time in current position requirement to apply for this role.
ADDITIONAL CONSIDERATIONS
The preferred location for this role is Minneapolis, MN however remote work-at-home applications within the United States, Canada or the UK will be considered.Relocation or international remote working arrangements (outside of the US) will not be considered.
COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.


Senior Data Scientist

Company Overview
Cohere Health is illuminating healthcare for patients, their doctors, and all those who are important in a patient’s healthcare experience, both in and out of the doctors office.  Founded in August, 2019, we are obsessed with eliminating wasteful friction patients and doctors experience in areas that have nothing to do with health and treatment, particularly for diagnoses that require expensive procedures or medications.  To that end, we build software that is expressly designed to ensure the appropriate plan of care is understood and expeditiously approved, so that patients and doctors can focus on health, rather than payment or administrative hassles.
Opportunity overview
We are looking for innovative and creative individuals who seize opportunities to uncover hidden drivers, impacts, and key influences to support our product, leadership and clinical teams by applying optimization and statistical methods on a variety of data. You will work closely with the clinical program and product teams to support decision-making and will dig into a wide range of strategic and clinical problems.
As a growing organization, we have built a team of talented and experienced people who are passionate about helping providers and patients and this is a position that offers the ability to make a substantial impact on the company with rapid growth opportunities. You will be part of a growing data science team within the technology organization.
Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
What you will do:

Work as part of a cross-functional team to develop project requirements, identifying data collection sources for project needs. Responsible for milestone setting from a data science perspective
Develop research questions and undertake data exploration to understand who our product users are, how they get value out of Cohere, and where we can develop our product to bring greater value and simplify healthcare
Perform in-depth analysis of healthcare data coupled with data from product and other sources to independently design, develop, and deliver analytic deliverables that meet quality, cost and service objectives
Leveraging data from various sources, e.g., eligibility, medical, pharmacy claims, and data submitted by providers via the prior authorization process, working with Clinical Programs to analyze and simulate expected impact and ROI, e.g., medical expense, administrative cost, improved quality and outcomes
Present information using data visualization techniques and propose solutions and strategies to business challenges

What you bring:

4+ years analytical experience at company where health outcomes were critical to the mission, preferably a healthcare analytics company or population health organization
Proficient in current modeling approaches, standard scientific methods for intervention based analysis, trend identification, and data analytics
Strong experience using a variety of data mining/data analysis methods, utilizing a variety of analytic tools, building and implementing models, creating algorithms and running simulations
Experience with programming languages (Python, R, PySpark, Scala and/or Spark SQL)
Strong interest and understanding of EMR data, Claims and SDOH data
Experience with data visualization tools such as Tableau and  Kibana, preferred
MSc or higher degree in a data science/ analytics, statistics, mathematics related field

What you bring bonus edition:

Experience with Amazon AWS cloud platform
Experience with ElasticSearch
Experience with graph database

#LI-Remote
#BI-Remote


Senior Data Scientist

About Change Research
Change Research innovates to solve critically important problems at the intersection of data, social science, and politics. Since 2017, Change Research has been at the forefront of measuring public opinion. Candidates, causes, cities, and companies use our data to understand people’s needs, improve messaging, and accomplish their strategic goals.  As a Senior Data Scientist at Change Research, you will be uniquely positioned to have the tools you build play a vital role in these decisions.
Data science has been a core ingredient in developing Change Research’s innovative survey methodology. It guides how we reach survey respondents, how we design and weight our surveys, and how we keep improving our techniques. It is also a core part of Change Research’s future. Data science will continue to improve our methods for acquiring survey respondents as well as develop new products grounded in our wealth of up-to-date survey data and new machine learning techniques.
This is a permanent, full-time, remote position that may require occasional travel and that reports to the Head of Engineering and Data Science.
Our Commitment to Diversity, Equity, and Inclusion
We value a diverse and inclusive workplace where we learn from each other.  We invite people with different backgrounds, experiences, abilities, and perspectives to join our team. Black, Indigenous, people of color, LGBTQ+ people, women, veterans, people living with disabilities, and members of historically disenfranchised populations are encouraged to apply. We are an equal-opportunity employer, and we are currently accepting applications. Join us!
Position Summary
As a Senior Data Scientist, you’ll be involved in all aspects of our analytics, research, model development, and data pipeline. We’re a small but growing company and each team member contributes in a meaningful way. We interview millions of voters through our platform — a novel dataset with tremendous utility for political campaigns, government officials, advocacy organizations, and other causes.
This is a permanent, full-time, remote position and may require occasional travel and reports to the Head of Engineering & Data Science.
Core Responsibilities:
Partner with the product manager and engineering team on coming up with ideas for and developing fundamentally new public opinion products using artificial intelligence, machine learning, and data analysis using our massive dataset of survey respondents
Partner with the product manager and polling team to test and implement improvements to our polling methodology, such as optimizing our methods to reach survey respondents
Own, improve, and create new versions of our internal machine-learning models that support the polling process
Work with the product manager and engineering team to design data pipelines that allow the polling team to analyze data across polls and over time
Help evaluate and decide when it’s best to build and when it’s best to buy
A successful candidate will have:
3+ years of data analysis and building machine learning models in a Python-heavy codebase.
Strong SQL skills, as a way to engage with our core datasets and to help provide insights to the company.
Experience with a data infrastructure stack — we use Redis, Google Cloud Platform (DataFlow, BigQuery, Cloud Run), Apache Beam, and MySQL all with Docker, but we believe experience in other stacks will translate.
The curiosity to try new things, but the self-discipline to prize results over technique.
Excitement to think about gaps in our tooling as opportunities for our team to improve and expand its data infrastructure, build new products, and surface new insights.
Compensation and Work Environment:
The annual salary range is $130,000 to $170,000, based on relevant experience, and includes these benefits:
fully remote work environment
competitive salary and equity packages with bonus potential
flexible paid time off and company holidays
company-subsidized health, dental, vision, and life insurance
access to pre-tax 401K retirement program
work-from-home office stipend
paid parental leave
Our workplace is both casual and professional, and we are committed to learning, fun, and excellence. Everyone on our team works hard and is dedicated to the work we are doing. You must be authorized to work in the United States.
If you are selected to interview, our process includes:
Preliminary video interview: Approx. 30 min
At-home exercise: Approx. 1 hr 30 min
Additional video interviews: Approx. 1 hr
Video interview with manager: Approx. 1hr
Reference Checks (we may do these earlier in the process)
How to Apply
Click the “Apply” link to submit a resume and answer a few brief questions. Applications will be received on a rolling basis and early applicants will receive priority. We are seeking to fill this position before November 30, 2022, and the application may close before this deadline.


Senior Data Scientist

Health IQ is the only Medicare broker that uses your detailed health record and our AI platform to find a plan truly tailored to your needs.  We are a pre-IPO technology company with over $100 million raised from top Silicon Valley investors.  We value smart, driven, creative people passionate about improving the world through data and technology.
As part of Health IQ’s Digital team, the Senior Data Scientist will join the core development team designing the machine learning algorithm that powers our health needs prediction engine. We are looking for experts in predictive modeling and machine learning, who are focused on practical implementations with real-world impact. An ideal candidate is able to quickly iterate on the problem and ship to production on a regular basis.
What you will be doing:

Implementing and optimizing machine learning models
Solving mission critical data data science problems from conception to production
Implementing holistic solution design including automated data cleaning, feature engineering and scalable database structures

Who we're looking for:

Expertise in statistics and data analysis techniques like Naive Bayes, Logistic Regression, Random Forest and Neural Networks
Demonstrated history of solving data science problems from conception to production
Expertise in SQL and Python including libraries like Spacy, Pandas, Scikit, Pytorch and Keras (with Tensorflow)
Experience in holistic solution design including automated data cleaning, feature engineering and scalable database structures

The Ideal Candidate will also have:

Prior experience with startups
Prior experience of development in a regulated environment e.g. healthcare, finance, insurance, legal.
Prior experience leading teams
Undergraduate degree in computer science, or related technical field, required; advanced degree preferred

#LI-REMOTE


Staff Data Scientist

Senior Data Scientist
Clover is reinventing health insurance by working to keep people healthy.
Clover's Data Science team is charged with leveraging our data—our most important asset—to generate value for our members. From understanding how the member experience impacts clinical outcomes to making our home visits more efficient and effective, our team pushes out insights central to executing on our core mission. And our impact is tremendous: you'll be able to point to one of our members and say, “I helped make that person's life better.”
We’re looking for a Senior Data Scientist to help us build a revolutionary new health care company.
As a Senior Data Scientist you will:

Lead large-scale projects from ideation through delivering enterprise value
Have a broad problem-solving toolkit and know how to apply it. When problems call for out-of-the box solutions, you will apply them effectively. When problems call for boutique solutions, you can evaluate the trade-offs and chose a solution that maximizes velocity
Implement broad solutions that are bug-free and well-tested. Where possible, your work reduces complexity rather than adding it
Understand the problems faced by the business and deliver results that meaningfully solve some of these problems
Proactively engage with stakeholders across all levels of Clover to understand needs. Uncover and mitigate risks and assumptions that may prove to be intractable later.
Serve as a trusted advisor and thought partner and ensure that projects are delivered on time and to spec. Within the team, serve as a mentor and collaborator, improving peers’ ability to deliver.

You will love this job if you:

You want to create impact with your work by finding insights in the data that unlock value and improve outcomes.

You have a strong understanding of how to structure analyses and experiments to yield interpretable, actionable results.

You reason holistically. From project scope to priority to implementation, you'll have an impact on how decisions get made.

You are comfortable acting autonomously in ambiguous and dynamic environments.

You are fearless in the face of messy data, and adept at programmatically structuring and cleaning records collected from the real world.

You strive to automate as much as possible, yet understand the value of explicitly incorporating human decisions into the systems you build.

You have just as much interest in helping other people move faster as you do building your own analyses.

You should get in touch if you:

Have a strong foundation in probability and statistics, and demonstrated facility with machine learning tools, including SQL and python, as well as statistical and machine learning packages
Have demonstrated success using data science to deliver clear enterprise value in a business function
Are comfortable leading and have successfully led a large-scale project from opportunity identification to business value
Are able to improve the work of those around you via direct mentorship, code review, informal conversations, and leadership by example
Can clearly articulate how your work accrues to business value and can contextualize that value with respect to top-level business objectives
Have an advanced degree in a quantitative field, especially dealing with complex data-driven results, or equivalent experience

#LI-Remote
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.

About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.
We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.
From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.


Data Scientist

Clover is reinventing healthcare by working to keep people healthier.
Clover's Data Science team is charged with leveraging our data—our most important asset—to generate value for our members. From observing how the member experience impacts clinical results to making our home visits more efficient, our team pushes out automated and statistical insights central to building on our main mission. We build the machine learning models and expert systems that back our operational processes and web applications while designing and running experiments and generating analyses to promote good decisions and demonstrate impact. And our impact is tremendous: you'll be able to point to one of our members and say, “I helped make that person's life better.”
We’re looking for a Data Scientist to help us build a revolutionary new health care company. We build the machine learning models and expert systems that back our operational processes and web applications while designing and running experiments and generating analyses to encourage good decisions and demonstrate impact.
As a Data Scientist, you will:

Devise and reason about local and global metrics as well as account for biases and confounds.
Deliver workable and holistic insights, accounting for risk and variance.
Complete and implement bug-free code that works in harmony with Clover’s data framework. You can expand this framework using a clear and consistent data model.
Identify the problem space and use this information to inform good decisions about product scope and implementation options in order to ship genuine benefits for the business.
Communicate technical work and assumptions clearly to both technical and non-technical audiences, including status updates and blockers.
Build a unified and effective cross-functional environment. “Get to yes” with senior leaders to meet needs the initial path does not work.
You will love this job if:

You want to create impact with your work by finding insights in the data that unlock value and improve clinical results.
You have a strong cognizance of how to structure analyses and experiments to produce interpretable and pragmatic results.
You reason holistically. From project scope to priority to implementation, you'll have an impact on how decisions get made.
You are comfortable acting autonomously in ambiguous and changing environments.
You are bold in the face of messy data, and adept at programmatically structuring and cleaning records collected from the real world.
You aim to automate as much as possible, yet appreciate the value of explicitly incorporating human decisions into the systems you build.
You have just as much interest in helping other people move faster as you do building your own analyses.
You should get in touch if:

You have 4+ years of relevant experience or education equivalent (i.e. Masters degree plus 2+ years of relevant experience).
You have an advanced degree in a quantitative field, especially dealing with complex data-driven results.
You have a strong foundation in probability and statistics, and demonstrated facility with machine learning tools, including SQL and python, as well as statistical and machine learning packages.
You have demonstrated success mapping project goals to data solutions and have delivered business value with your technical work.
You can proactively manage project scope, and actively look for fast-path solutions to apply your ideas.
You have logical heuristics and business sense sufficient to allow you to evaluate possible solutions quickly without exhaustively running down leads.
You have successfully demonstrated communication of technical findings to both technical and non-technical audiences. You consider communication of your work as fundamentally important to realizing value.

#LI-Remote
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.

About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.
We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.
From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.


Principal Product Data Scientist

Clover is reinventing healthcare by working to keep people healthier.
As a Principal Product Data Scientist you will partner across the technology organization to guide product teams towards their quantitative goals. Your data-driven understanding of our products will shape the strategies that we use. Your product sense will shape the bets that our technology team makes.
As a Principal Product Data Scientist, you will:

Work with our product leads to develop and refine successful product strategies.
Guide our products to deliver value to our doctors and their patients
Establish the metrics that define team-level OKRs and keep the team focused on those numbers
Structure our data so that you, your team, and other data scientists have a shared source of truth
Represent the work and progress of your cross-functional team to technology and business leadership

You will love this job if:

You are excited when the product is successful, not just when the analysis is right.
You think about how things work in terms of data.
You actively curate your own product sense.
You lead through influence, building the trust and respect of your coworkers through good decisions and thoughtful collaboration

You should get in touch if:

You are an established data scientist, especially if you have also held non data-science roles
You have lead teams that built successful technology products
You are an experimentalist at heart
You have strong statistical, analytical, and technical skills and want to deliver business value with them


Product Insights Manager Freemium Innovation Growth

The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify.

We are looking for a Product Insights Manager with a strong background in data science to help us explore innovative product opportunities and grow our existing audience of 400+ Million listeners. You’ll lead a team of 2-3 Data Scientists and conduct your own insights work including exploratory analysis, experiments and metric definition and reporting to help drive data-informed product decisions. As a member of the insights team, you’ll work closely with cross-functional teams of skilled engineers, data scientists, user researchers, designers, and product managers who are all passionate about crafting scalable products for our listeners.

In Freemium, we have a strong insights culture where we place a strong emphasis on using research and data to fuel innovation and growth. You will take part in discovering insights that help us find new ideas and build innovative products, and grow our Spotify listener base.

What You'll Do :

Lead a team of 2-3 Data Scientists, ensuring that everyone on the team is growing in their careers and delivering high quality and impactful insights work.

Define a data strategy and build out further capabilities to enable your team to be efficient.

Define metrics, run experiments, build dashboards, and do deep dives to empower data-informed decisions driving innovation and user growth.

Perform exploratory analysis to extract insights to drive product, design and business decisions by understanding who our users are, how they get value out of our offering and where we can further develop our product to bring greater value.

Collaborate closely with product managers, designers, engineers, user researchers, and business team members across the organization to use data to determine where to prioritize our bets based on opportunity sizing and foundational insights.

Influence strategy by leading foundational research & experimentation initiatives to develop a deeper understanding of our products and our users.

Develop and innovate on our mixed-methods insights practice, and contribute to the wider Insights community at Spotify.

Who You Are:

You have 2+ years of leading a team of data scientists or other analytics professionals and 5+ years of relevant data science experience, working with product and engineering teams.

You have relevant training in statistics, mathematics, computer science, engineering, economics or another quantitative field.

Technical and statistical competence to perform sophisticated analytics on datasets with SQL, coding skills (such as Python, Java or Scala), analytics libraries (Pandas/Numpy, Seaborn, Dplyr, GGplot, etc), & other visualization tools (Tableau).

You possess statistical skills to perform sophisticated analytics (such as regression modeling and significance testing).

You deliver impactful insights from your data to drive action upon your findings and are comfortable leading collaborators at all levels.

You are a trusted and respected mentor to other data scientists.

You are passionate about driving projects, leading solutions for big projects and not scared of ambiguous and innovative spaces.

You are an effective communicator who values building positive relationships with colleagues and have the ability to distill sophisticated thoughts into simple, impactful recommendations.

Thrive in exploratory spaces where problems may lack definition and are able to build a vision and frameworks that guide teams in solving user and business problems effectively.

Where You'll Be:

We are a distributed workforce enabling our band members to find a work mode that is best for them!

Where in the world? For this role, it can be within the Americas region in which we have a work location

Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.


Data Science Lead Creator Marketing

We are looking for a passionate marketing data science leader to join the Creator Marketing team - Spotify’s division dedicated to helping artists thrive by providing the most valuable tools to create music, build an audience, monetize their fans, and ultimately live off their work.
Spotify for Artists is used by more than a million artists monthly to get insights, reach new listeners, and deepen the connection with their audience. We are looking to invest in Marketing Data Science as part of the Creator Marketing organization and are seeking a strong leader to build out this capability.

We are looking for an experienced marketing data scientist who can generate useful insights and help shape the organization’s strategy working with the Global Head of Creator Marketing and the leadership team. You will also power some of Spotify’s most impactful creator-facing marketing campaigns: these include global franchises like Spotify Artist Wrapped or Fan Study. Lastly, you’ll be responsible for the measurement of marketing impact, attribution, and incremental testing while at the same time setting up the data infrastructure to support our long-term marketing vision.

In this role, you’ll report to the Global Head of Creator Marketing. You will also be a part of a wider community of 40+ data scientists and researchers building creator-facing products. This is a crucial role for our organization. The ideal candidate will have impeccable data skills, the ability to work with both marketing managers and engineers, and ideally a passion for music.

What you'll do

Work closely with cross-functional teams of marketing managers, data scientists and the wider R&D organization who are passionate about helping artists thrive
Deliver data stories to power Spotify for Artists’s most impactful data storytelling campaigns such as Artist Wrapped and Fan Study
Use data insights to inform Spotify’s global creator marketing strategy in close partnership with the Creator Marketing leadership team
Develop metrics & marketing attribution models to improve our understanding of impact and enable us to iterate
Develop data-driven case studies to showcase the impact of our products and services that can be used across marketing touchpoints to activate customers
Build out and maintain dashboards to support data-driven decision-making across wider Creator Marketing organization.

6+ years of experience working with data to drive marketing initiatives
Experience crafting success metrics, running power analyses, determining statistical significance, and presenting actionable insights with clear recommendations or implications. You have experience with marketing attribution models, causal inference or marketing mix modeling.
Experience with data modeling & engineering, including creating robust pipelines pulling data from 3rd party and internal APIs and large-scale datasets.
You have a good understanding of marketing: you are familiar with marketing channels, SEM, social measurement, the difference between paid and unpaid channels etc
You are capable of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences.
You’re a compelling storyteller who can communicate in succinct and inspiring ways to audiences with varied data science experience to influence real world product or feature decisions.
Proficiency in Python, SQL and Tableau.
Knowledge of Django, Flask or other web frameworks preferred
Bonus if you’ve got exposure to Braze, mParticle, Google Analytics, or similar growth marketing tools.
Comfortable working with distributed teams across multiple offices and timezones

We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location.
Working hours? We operate within the Eastern Standard time zone for collaboration.
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 381 million users.

This role is not eligible for hire in Colorado, USA.

Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For NYC, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties.For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.


Senior Data Scientist Creator Promotion

The Music Mission team builds Spotify's content platform and creator products. Our content platform ingests, understands, and safeguards the world's audio. Our creator products - Spotify for Artists, Soundtrap, and SoundBetter - enable artists and their teams to create music, connect with collaborators, and grow & monetize their audience.

Central to the Music Mission team’s vision is the development of promotion tools for artists and labels powered by Spotify’s deep knowledge of listener preferences and behaviors. We’re looking for a Data Scientist to join the Creator Studio team dedicated to growing our products that help artists get their music into the ears of existing and potential fans.

In this role, you will partner with product teams to build the technology that makes this a reality by accounting for a complex set of artist needs, preferences, and goals. You will tackle complex problems to develop a behavioral understanding of customer needs, as well as to forecast and predict the value that our tools deliver to them & Spotify. In doing so, you will have a proven impact on bringing Spotify’s two-sided Music Mission vision to life.

As part of the Product Insights team, you will partner with data engineers, product teams, and designers to help us define the next generation of promotion products for the music industry. You’ll also be connected to the broader Spotify insights community to expand the influence of your team's work.

What you'll do:

Work closely with cross-functional teams of data scientists, researchers, product owners, engineers, designers, marketers, and others across the company to develop the next generation of promotion tools for artists.
Identify the most impactful opportunities for product development based on user needs, and execute on them diligently and resourcefully.
Partner closely with other data scientists to inform, build and test hypotheses that deliver actionable insights to improve and expand our products.
Define the metrics and dashboards we use to measure the health and success of our products.
Mentor and coach data scientists and tackle leadership opportunities within the larger data science community.
Maintain a culture of rigor and data-informed decision-making to drive tangible business impact.

Who you are:

5+ years of demonstrated ability in a similar data scientist role.
Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field.
You have proven experience as a Data Scientist using experimentation methods and advanced statistical modeling to drive product development.
You have experience with product analytics, including crafting success metrics, running power analyses, determining statistical significance, and presenting findings with clear product recommendations or implications.
You have hands-on experience synthesizing insights from data using tools such as Python, R, BigQuery, SQL, Tableau.
Strong communication skills and value building strong relationships with colleagues and partners as well as the ability to explain sophisticated topics in straightforward terms.
You’re a compelling storyteller who can communicate in succinct and inspiring ways to audiences with varied data science experience to influence real world product or feature decisions.

Where you'll be:

We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours. Working hours?
We operate within the Eastern Standard time zone for collaboration and ask that our teammates are comfortable working within the hours of that time zone.
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 381 million users.

This role is not eligible for hire in Colorado, USA.

Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For NYC, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties.For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.


Senior Data Scientist Freemium Opportunity Sizing

The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify.

We are looking for a Senior Data Scientist to define the opportunity size for innovative product ideas. You’ll incorporate business, product, and industry data to identify and prioritize meaningful product opportunities. As a member of this growth and innovation focused insights team, you’ll work closely with cross-functional teams of skilled engineers, data scientists, user researchers, designers, and product managers who are all passionate about crafting new, scalable products for our listeners.

In Freemium, we have a strong insights culture where we place a strong emphasis on using research and data to fuel innovation and growth. You will take part in discovering insights that help us find new ideas, build innovative products, and grow our Spotify listener base.

What You'll Do:

Own opportunity sizing for new product ideas, helping the cross-functional team make the right bets in the early stages of product development.

Synthesize business, product, and industry data to identify and prioritize meaningful product opportunities.

Define metrics, run experiments, build dashboards, and do deep dives to empower data-informed decisions driving innovation and user growth.

Perform exploratory analysis to extract insights to drive product, design and business decisions by understanding who our users are, how they get value out of our offering and where we can further develop our product to bring greater value.

Collaborate closely with product managers, designers, engineers, user researchers, and business team members across the organization to build data-informed methods for identifying and prioritizing bets.

Develop and innovate on our mixed-methods insights practice, and contribute to the wider Insights community at Spotify.

Who You Are:

You have 5+ years of relevant data science experience or analytics experience, especially including extensive experience in opportunity sizing new product ideas.

You have relevant training in analytics, statistics, mathematics, computer science, engineering, economics or another quantitative field.

You have extensive experience with datasets from syndicated sources, search, social listening and more to estimate impact of potential new opportunities.

Technical and statistical competence to perform sophisticated analytics on survey and behavioral data with SQL, coding skills (such as Python, Java or Scala), analytics libraries (Pandas/Numpy, Seaborn, Dplyr, GGplot, etc), & other visualization tools (Tableau).

Excellent analytical skills and ability to understand the relevant analysis required to estimate the impact of a new product idea.

You deliver impactful insights from your data to drive action upon your findings and are comfortable managing team members at all levels.

You are an effective communicator who values building positive relationships with colleagues and have the ability to distill sophisticated thoughts into simple, impactful recommendations.

You thrive in exploratory spaces where problems may lack definition and are able to build a vision and frameworks that guide teams in solving user and business problems optimally.

Where You'll Be:

We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences.
Find more information about our Work From Anywhere options here.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.


Data Scientist Creator Promotion

The Marketplace team builds Spotify's content platform and creator products. Our content platform ingests, understands, and safeguards the world's audio. Our creator products - Spotify for Artists, Soundtrap, and SoundBetter - enable artists and their teams to create music, connect with collaborators, and grow & monetize their audience.

Central to the Marketplace team’s vision is the development of promotion tools for artists and labels powered by Spotify’s deep knowledge of listener preferences and behaviors. We’re looking for a Data Scientist to join the Creator Studio team dedicated to growing our products that help artists get their music into the ears of existing and potential fans.

In this role, you will partner with product teams to build the technology that makes this a reality by accounting for a complex set of artist needs, preferences, and goals. You will tackle complex problems to develop a behavioral understanding of customer needs, as well as to forecast and predict the value that our tools deliver to them & Spotify. In doing so, you will have a proven impact on bringing Spotify’s two-sided marketplace vision to life.

As part of the Product Insights team, you will partner with data engineers, product teams, and designers to help us define the next generation of promotion products for the music industry. You’ll also be connected to the broader Spotify insights community to expand the influence of your team's work.

What you'll do:

Work closely with cross-functional teams of data scientists, researchers, product owners, engineers, designers, marketers, and others across the company to develop the next generation of promotion tools for artists.
Identify the most impactful opportunities for product development based on user needs, and execute on them diligently and resourcefully.
Partner closely with other data scientists to inform, build and test hypotheses that deliver actionable insights to improve and expand our products.
Define the metrics and dashboards we use to measure the health and success of our products.
Mentor and coach data scientists and tackle leadership opportunities within the larger data science community.
Maintain a culture of rigor and data-informed decision-making to drive tangible business impact.

Who you are:

3+ years of demonstrated ability in a similar data scientist role.
Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field.
You have proven experience as a Data Scientist using experimentation methods and advanced statistical modeling to drive product development.
You have experience with product analytics, including crafting success metrics, running power analyses, determining statistical significance, and presenting findings with clear product recommendations or implications.
You have hands-on experience synthesizing insights from data using tools such as Python, R, BigQuery, SQL, Tableau.
Strong communication skills and value building strong relationships with colleagues and partners as well as the ability to explain sophisticated topics in straightforward terms.
You’re a compelling storyteller who can communicate in succinct and inspiring ways to audiences with varied data science experience to influence real world product or feature decisions.

Where you'll be:

We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours. Working hours?
We operate within the Eastern Standard time zone for collaboration and ask that our teammates are comfortable working within the hours of that time zone.
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 381 million users.

This role is not eligible for hire in Colorado, USA.

Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For NYC, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties.For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.


Data Scientist Spotify For Artists

Spotify for Artists is the destination for artists and their teams to understand their fans and reach their goals. We give artists the insights and tools they need to connect with their fans and establish a meaningful career on their own terms.

The Music Product Insights Team is a growing insights community of 30+ Data Scientists and User Researchers who blend their skills to help us craft the next generation of music industry products, bringing insights into every decision we make.

We are looking for a data scientist with experience working in a product development team, testing new product concepts with users at various stages of the product development cycle, thinking creatively about experimentation, and leveraging statistical modeling to generate insights from large-scale datasets. You will join one of the product teams within Spotify for Artists and help inform the way we build our platform to allow artists and their teams to achieve success on Spotify.

What you'll do:

Gain a deep understanding of how products and platforms influence user behavior by extracting insights from rich datasets to drive the Spotify for Artists roadmap.
Identify the most impactful opportunities for product development based on user needs, and execute on them diligently and resourcefully, sequencing hypotheses to ladder up to broader business goals.
Partner closely with the other data scientists, user researchers, and data engineers to help inform, build and test hypotheses to deliver actionable insights that fuel our product development.
Define the metrics we use to measure the health of initiatives and track them through dashboards
Be an advocate for data-informed decision-making, making recommendations about the product performance and product experience available to the whole organization.

Who you are:

You have proven experience as a Data Scientist using experimentation methods and advanced statistical modeling to drive product development.
You have experience with product analytics, including crafting success metrics, ensuring strong instrumentation, deeply understanding user behaviors, and presenting findings with clear product recommendations or implications.
You are capable of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences.
You’re a compelling storyteller who can communicate in succinct and inspiring ways to audiences with varied data science experience to influence real world product or feature decisions.
You are proficient in Python and SQL

Where you'll be:

We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours. Working hours?
We operate within the Eastern Standard time zone for collaboration and ask that our teammates are comfortable working within the hours of that time zone.
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.

We strongly believe that diversity of experience, perspectives, and background will lead to a better workplace for our employees and a better product for our users and our creators. This is something we value deeply and we encourage everyone to come be a part of changing the way the world listens to music.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 381 million users.

This role is not eligible for hire in Colorado, USA.

Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For NYC, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties.For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.


Senior Data Scientist Growth

The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify.

We're looking for a Senior Data Scientist to join our Insights team to support strategic decision-making for user growth in all markets around the world.

What You'll Do

Work closely with other data scientists, user researchers, product managers, designers, and engineers
Establish learning agendas, measurement plans and success metrics in close coordination with contributing teams and partners
Analyze large quantities of data to extract impactful insights to help inform senior leadership and drive strategic, product and business decisions
Design and facilitate experimentation both on and off platform
Communicate insights and recommendations through clear visualizations and presentations

Who You Are

5+ years of experience in a data scientist role and a degree in data science, computer science, statistics, economics, mathematics, or similar quantitative field
Possess the technical competence to perform analytics on very large datasets, including coding skills (such as Python or R) and databases (such as SQL)
Statistical competence in areas such as A/B testing, causal inference, regression modeling etc
Familiar with qualitative research methods, using data from interviews, surveys and co-creation activities to synthesize with quantitative data
Eye for business with ability to deliver on loosely defined problems to assess research questions and come up with relevant answers and actionable insights to guide decisions
You are a communicative person that values building strong relationships with colleagues and partners and have the ability to explain complex topics in simple terms

Where You'll Be

We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours
Working hours? We operate within the Eastern/NY time zones for collaboration and ask that all be located in that time zone
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.


Lead Data Scientist

THE COMPANY

Medely is the largest workforce management platform specializing in delivering healthcare professionals through an on-demand marketplace. As an economic empowerment engine, Medely allows healthcare professionals instant access to high-paying jobs with the freedom and flexibility to work when/where they want while providing healthcare facilities access to the largest on-demand network of ready-to-work healthcare professionals.

We believe that empowering healthcare professionals will bring more open, efficient, and increasingly higher quality to patient care. We are a team of sharp, entrepreneurial individuals who are redefining the way healthcare staffing is done. We are currently looking for candidates to join our growing team who share our enthusiasm for tackling today’s toughest challenges in healthcare.

We’re looking for a data scientist who will be responsible for partnering with our product and cross functional teams to provide the facts needed to make better decisions and a well thought point of view to help push our products and services to better serve our customers.  You will be responsible for building a strong understanding of our ecosystem, working with the product team to determine which projects are the most important, and being willing to use the right tool (a scripted model, a dashboard, a presentation) to find and explain the relevant and timely findings that help us operate better.

What you'll be doing:
Work with product to provide data-driven insights that will help drive significant increase in core business KPIs (growth, revenue, engagement)Create internal dashboards to monitor the health of the product and business KPIs (growth, revenue, engagement)Deliver ad-hoc analyses and reports to support business needs, investigate, triage and resolve metrics-based issues without heavy guidanceCreate and share compelling presentations that motivates and inspires the team to build with convictionWhen necessary, build models in R, Python, or other systems that help us better measure and understand the results of experiments or user flows
What you'll need:
Bachelors and 7+ years post-collegiate work experience as a data scientist or data engineerExperience designing and reading out experiments Expert level in SQL & business intelligence toolsMastery of R, Python, or another scripting languageStrong analytical skills, with experience solving ambiguous problems using dataAbility to analyze data and condense data to tell a persuasive storyProven ability to effectively communicate with cross functional teamsSelf-starter, with ability to thrive in a dynamic, fast-paced environment, drive change through influence, and collaborate effectively with a variety of cross-functional stakeholdersExcited and hungry to try new tools and processes to achieve resultsPassionate about building delightful products for our customers
In accordance with Colorado's Equal Pay for Equal Work Act, the expected base salary range for this role in Colorado is $155,000  to $180,000.
This position may be eligible for additional compensation and benefits including: equity, bonus, health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, floating holidays and paid holidays); and benefits. Actual compensation will be determined by experience and other factors permitted by law.

#LI-SH1

WHY MEDELY: BENEFITS & PERKS

- Competitive Compensation: Based on experience and performance
- Long Term Incentives: 401k
- Healthcare Benefits: Full suite of benefits including medical, dental, and vision insurance
- Flexibility: We believe that work/life balance is important, so we offer three weeks of Paid Time Off and nine paid holidays, and two personal holidays (employees starting in the second half of the year are given one floating holiday for the first year of employment).
- Energetic team environment
- Purpose: Join a growing mission-oriented startup that is modernizing the healthcare industry on a national scale!
- Ownership: Drive meaningful business impact on a team that you’ll help build and define!
- Remote: Work in a digital environment with all the tools to achieve your work as though you were in the office!

We're an equal opportunity employer to all. We interview and hire applicants of all backgrounds, orientations, expressions, and identities.

Work location is flexible if approved by Medely.
Medely does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency or outside recruiter without prior approval from a member of the Medely Human Resources or Recruiting team to be unsolicited and gratuitous, and such submissions will not be recognized by Medely for purposes of “ownership” of the candidate.

We are an E-Verify company.


Senior Data Scientist

THE COMPANY

Medely is the largest workforce management platform specializing in delivering healthcare professionals through an on-demand marketplace. As an economic empowerment engine, Medely allows healthcare professionals instant access to high-paying jobs with the freedom and flexibility to work when/where they want while providing healthcare facilities access to the largest on-demand network of ready-to-work healthcare professionals.

We believe that empowering healthcare professionals will bring more open, efficient, and increasingly higher quality to patient care. We are a team of sharp, entrepreneurial individuals who are redefining the way healthcare staffing is done. We are currently looking for candidates to join our growing team who share our enthusiasm for tackling today’s toughest challenges in healthcare.

We’re looking for a data scientist who will be responsible for partnering with our product and cross functional teams to provide the facts needed to make better decisions and a well thought point of view to help push our products and services to better serve our customers.  You will be responsible for building a strong understanding of our ecosystem, working with the product team to determine which projects are the most important, and being willing to use the right tool (a scripted model, a dashboard, a presentation) to find and explain the relevant and timely findings that help us operate better.

What you'll be doing:
Work with product to provide data-driven insights that will help drive significant increase in core business KPIs (growth, revenue, engagement)Create internal dashboards to monitor the health of the product and business KPIs (growth, revenue, engagement)Deliver ad-hoc analyses and reports to support business needs, investigate, triage and resolve metrics-based issues without heavy guidanceCreate and share compelling presentations that motivates and inspires the team to build with convictionWhen necessary, build models in R, Python, or other systems that help us better measure and understand the results of experiments or user flows
What you'll need:
Bachelors and 5+ years post-collegiate work experience as a data scientist or data engineerExperience designing and reading out experiments Expert level in SQL & business intelligence toolsCompetency in R, Python, or another scripting languageStrong analytical skills, with experience solving ambiguous problems using dataAbility to analyze data and condense data to tell a persuasive storyProven ability to effectively communicate with cross functional teamsSelf-starter, with ability to thrive in a dynamic, fast-paced environment, drive change through influence, and collaborate effectively with a variety of cross-functional stakeholdersExcited and hungry to try new tools and processes to achieve resultsPassionate about building delightful products for our customers
In accordance with Colorado's Equal Pay for Equal Work Act, the expected base salary range for this role in Colorado is $155,000  to $180,000.
This position may be eligible for additional compensation and benefits including: equity, bonus, health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, floating holidays and paid holidays); and benefits. Actual compensation will be determined by experience and other factors permitted by law.
#LI-SH1

WHY MEDELY: BENEFITS & PERKS

- Competitive Compensation: Based on experience and performance
- Long Term Incentives: 401k
- Healthcare Benefits: Full suite of benefits including medical, dental, and vision insurance
- Flexibility: We believe that work/life balance is important, so we offer three weeks of Paid Time Off and nine paid holidays, and two personal holidays (employees starting in the second half of the year are given one floating holiday for the first year of employment).
- Energetic team environment
- Purpose: Join a growing mission-oriented startup that is modernizing the healthcare industry on a national scale!
- Ownership: Drive meaningful business impact on a team that you’ll help build and define!
- Remote: Work in a digital environment with all the tools to achieve your work as though you were in the office!

We're an equal opportunity employer to all. We interview and hire applicants of all backgrounds, orientations, expressions, and identities.

Work location is flexible if approved by Medely.
Medely does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency or outside recruiter without prior approval from a member of the Medely Human Resources or Recruiting team to be unsolicited and gratuitous, and such submissions will not be recognized by Medely for purposes of “ownership” of the candidate.

We are an E-Verify company.