Data Scientist Ads Sales

[As of June 2020, Quora has become a "remote-first" company.  This position can be performed remotely from anywhere in the world, regardless of any location that might be specified above.]
About Quora:
The vast majority of human knowledge is still not on the internet. Most of it is trapped in the form of experience in people's heads, or buried in books and papers that only experts can access. More than a billion people use the internet, yet only a tiny fraction contribute their knowledge to it. We want to democratize access to knowledge of all kinds — from politics to painting, cooking to coding, etymology to experiences — so if someone out there knows something, anyone else can learn it. Our mission is to share and grow the world's knowledge, and we're building a world-class team to help us achieve this mission.
About the Team:
Unsurprisingly, then, the Data Team is highly empowered at Quora, helping navigate complexity and influencing product and company strategy directly. Quora's outsized commitment to data is visible in everything we do, from our rigor-driven experimentation processes to the backgrounds of our leaders (including many Product Managers and the Head of Product being former full-time data scientists). With this emphasis on data and empirics, we aim to balance rigor and pragmatism, searching for scrappy solutions in pursuit of our mission. In joining Quora's strong data team, you'll both benefit from and work to advance our culture of rational decision making.
About the Role:
As a data scientist in ads, you'll work closely with sales leadership, product managers, and engineers to devise appropriate measurements and metrics, build visualizations, design randomized controlled experiments, and tackle hard, open-ended problems that uncover usage patterns and opportunities for the company. In this role, you will deliver data-driven insights to guide our business strategy and extract untapped value in our platform by developing a deep understanding of our advertisers and users. Quora has a wide range of rich data, giving you ample room for exploration and creativity. For more about our work, see Quora's Data blog at https://quoradata.quora.com/.
Responsibilities:

Extract actionable insights from broad, open-ended questions to influence sales and product strategy and drive roadmap decisions
Analyze data to understand the root causes of metric movements and uncover growth opportunities
Design and evaluate A/B tests to make informed recommendations on product changes
Develop metrics and create dashboards to orient the direction of business development and track the success of the business
Communicate insights and recommendations to key partners
Improve the work of other data scientists through mentorship, tool development, and by bringing good industry practices to the team

Minimum Qualifications:

Ability to be available for meetings and impromptu communication during Quora's "coordination hours" (Mon-Fri: 9am-3pm Pacific Time).  Learn why here
B.S., M.S., or Ph.D. in a quantitative field
2+ years work experience in sales analytics, product analytics, or data science at a consumer tech company (e.g. open-ended analyses, metric development, A/B testing)
Proficiency in using SQL and procedural programming languages (e.g. Python, R) to manipulate and analyze data
Familiarity with theoretical foundations of statistical techniques (e.g. hypothesis testing, regression)
Demonstrated ability to exercise judgment and combine quantitative skills with intuition to translate numbers into insights
Demonstrated ability to clearly explain data results to cross-functional teams

Preferred Qualifications:

4+ years work experience in sales analytics, product analytics, or data science at a consumer tech company (e.g. open-ended analyses, metric development, A/B testing)
Experience evangelizing best practices and process improvements on your team
Experience working with large data sets and distributed computing tools (e.g. Presto, Redshift)
Experience pushing code and navigating a complex codebase
Active Quora user with curiosity about the product

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
California Consumer Privacy Act (CCPA) disclosure
#LI-RJ1


Data Scientist

Definitive Logic is seeking an entry level Data Scientist to join our team.  This position is contingent upon award.

Responsibilities

Assist with predictive and statistical analyses and modeling.
Assists with development of models, algorithms, and metrics to facilitate interpretation of data.

Required Qualifications

Basic understanding of multiple programming languages and statistical packages such as Python and R
Knowledge of dataset tools such as Hadoop or Mapreduce.
Bachelor’s Degree, preferably in Engineering, Mathematics, or Business
Ability to obtain a government clearance

About Definitive Logic

Definitive Logic (DL) is a management and technology consulting firm known for delivering outcomes and ROI for agencies’ most complex business challenges.  DL delivers performance-based and outcome-driven technology consulting solutions that directly support the strategic intent of our Defense, Homeland Security, Emergency Management, Federal Civilian and Commercial clients. We’re the preferred technology integration partner for Federal agencies to apply the best of data science, app dev, DevSecOps, cyber and cloud solutions to improve decision support, empower front-line employees and enhance back-office operations. We serve as trusted advisors providing objective, fact-based, vendor & technology-neutral consulting services.

Definitive Logic is ultimately a team of problem solvers — thought leaders, domain experts, coders, data enthusiasts, and technophiles.  Our exciting projects and learning and sharing culture has consistently resulted in validation as a Great Place to Work: 2021 Washington Post Top Work Places  (7-time winner) | 2022 Virginia Best Places To Work  (8 years running, #1 midsize in 2019).

Definitive Logic is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.

If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable, or limited in your ability, to use or access our Careers page: https://www.definitivelogic.com/careers/open-opportunities/ as a result of your disability. You can request a reasonable accommodation by sending an e-mail to Recruiting@DefinitiveLogic.com or via phone: 703-955-4186. In order to quickly respond to your request, please use the words "Accommodation Request" as your e-mail subject line.


Data Science Lead Us Canada

Databases are the beating heart of every business in the world
Cockroach Labs is the team behind CockroachDB, an open source, distributed SQL database. In addition to the open source version of the DB we offer CockroachCloud, our self-service, fully managed cloud offering of CockroachDB with Dedicated and Serverless options.  We aim to build infrastructure that keeps pace with the world, so developers can focus on what matters most: building the best products. Join us on our mission to Make Data Easy.
About the Role
We are looking for a  Data Science Lead/Manager to join the Data & Analytics team at Cockroach Labs. As a member of the data organization, You will work closely with our Product and Engineering teams to uncover insights about how customers use CockroachDB, helping to inform the Product’s decision-making and focus Engineering efforts. You will also work on long-running analytical initiatives marked by greater complexity and less structure that will yield substantial product enhancements. We’re looking for someone who’s comfortable working on interesting growth, engagement, and retention-related problems in the SaaS space using cutting-edge and proven techniques. This is a strategic, high-impact role that will help shape the future of CockroachDB products and services.
You Will

Apply various data science methods to understand the usage patterns of developers and builders who use CockroachDB
Identify, analyze, and interpret trends or patterns in complex data sets to develop a thorough understanding of CockroachDB products, users, and acquisition channels
Run the exploratory analysis to uncover new areas of opportunity, generate hypotheses, and quickly assess the potential upside of a given opportunity
Sleuth through large amounts of data to uncover feature-usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve user experience.
Work closely with marketing, design, product, support, and engineering to anticipate analytics needs and quantify the impact of existing features, future product changes, and marketing campaigns
Monitor, optimize, and report on marketing and growth metrics and split-test results. Make recommendations based on analytics and test findings
Organize disparate facts and analyses into a coherent narrative that evaluates the success of and influences product strategy
Perform evidence-based evaluations of the most important drivers of increased adoption of the CockroachDB capabilities
Prototype foundational data pipelines and partner with the data engineering organization to elevate these into canonical sources of truth for CockroachDB  metrics
Identify and clearly communicate potential opportunities to improve the experience of users who want to build apps with CockroachDB
You have a “get things done” mentality, a desire to work in a rapid growth company, and Curiosity - basically the Growth mindset

The Expectations
In your first month, you will go through the Cockroach Labs onboarding process and start to build relationships with stakeholders across the company. You will understand our current data architecture and the internal and external resources we use to maintain it. You will start to prioritize the current backlog of data requests.
After 30 days, you will have a grasp on the major questions the product management team needs to answer, as well as the executive-level questions that require coordination between disparate data sets. You will update the roadmap priority and put in place key processes for building out this function. You will develop a point of view on the direction we need to take our data platform to support our product operations.
After 90 days, you will be fully integrated into the team. You will put in place the major processes for supporting Product and the broader organization, and make incremental improvements to our data platform that demonstrably improve our ability to make decisions. You will socialize a strategy for data in the Product team and how this will support the needs of other departments in the future.
You Have

8+ years of data science, machine learning, and advanced analytics experience in high velocity, high-growth companies
6+ years experience in Marketing and Growth Analytics or a related field in SaaS or consumer companies
Familiarity with product data science - understanding and tracking customer and user behavior using lenses like adoption, churn, cohorts and funnel analysis.
Experience collaborating with and understanding the needs of stakeholders from a variety of business functions.
Strong coding skills in general-purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews, and deployment.
Extensive experience in applying Data Science / ML in production to build data-driven products using experimentation, A/B testing, statistical methods such as regression and hypothesis testing, statistical analysis, and quantitative modeling
Proficient in data analysis and visualization using tools like R and Python.
Experience with distributed data processing systems like Spark, and proficiency in SQL.
MS or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational

The Team
Reporting to Veera Ilamurugu, Head of Data
Veera Ilamurugu heads up the Data Analytics team at Cockroach Labs. He is responsible for our Product data strategy and is passionate about building and scaling businesses with data. Before joining Cockroach Labs, Veera was a Head of Analytics at Stitchfix, Leading an analytics team covering internal company strategy  When not at work, he enjoys watching Netflix, trying out new recipes in the kitchen, and listening to music.
Our Benefits

100% health insurance coverage (for you and your dependents!)
Paid parental leave (with baby bucks)
Flex Fridays
Flexible time off & flexible hours
Education reimbursement
Relocation support (or coworking and home office allowances if you’re fully remote)

Cockroach Labs is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce. If you need additional accommodations to feel comfortable during your interview process, please email us at accessibility@cockroachlabs.com.


Senior Data Scientist

Seniority Level: Mid-Senior
Location: Long Beach, CA. or US Remote (in select states)
Who we’re looking for:
As the Senior Data Scientist you will be a senior member of the Data Science team at Zwift, reporting to the Director, Data Science. You will partner with product, engineering, marketing, and data teams responsible for Zwift’s game client, content programming, companion app, website and marketing channels.
In partnership with the Director, Data Science you will be responsible for developing a deep and rigorous insight-driven organizational understanding of the customer journey through the full spectrum of our product and the supporting ecosystems. The ideal candidate will bring with them knowledge of industry best practices and processes to develop our solutions for predictive analytics, machine learning, statistical inference, testing and experimentation, ML operations and deployment, quantitative R&D, and technical communication.
If this is you, and the thought of working for a company that blends fitness with the fun of video games sounds amazing, then please apply straight away.
What you’ll do:

Identify opportunities and solutions across all dimensions of the business in which data science and advanced analytics can provide meaningful insights, drive operational improvements, and “move the needle” for our key business outcomes
Partner with product, program, marketing, sales, and support teams to understand their strategic objectives and tactics, and to develop roadmaps for data-driven optimization using the principles of machine learning and statistical analysis.
Be one of Zwift’s experts on quantitative analysis and machine learning methodologies, coaching colleagues and stakeholders to improve company-wide understanding of the role and application of predictive analytics, and continually advancing internal modeling, experimentation, and other analytical capabilities
Help drive continuous improvements in our core machine learning, forecasting, data, model deployment and reporting capabilities.
Actively “push the boundary” of our technical capabilities and help drive ideation for our analytics R&D efforts.
Champion the role of data science and be a trusted, objective, and recognized “voice of the data” across the organization
Actively mentor junior colleagues on the Data Science team, providing meaningful development and learning opportunities.
Collaborate with product and engineering teams to ensure that the product roadmap is aligned rigorously supported by data science
Support ad hoc request from the business that require advanced analytical and modeling capabilities
Be a senior representative of the Data Team and proactively communicate key insights and analysis to stakeholders at all levels of the company

What we’re looking for:

5+ years of experience in data science or advanced analytical roles roles for a B2C/B2B technology-product business
Demonstrated track record of excellence in identifying, leading and solving high-impact business problems using data science models and methods
Master's or advanced degree in a quantitative field
Expert level knowledge in machine learning algorithms, applied statistical analysis, predictive model building, testing, and training
Highly proficient in relevant date science tools, libraries, frameworks, and applications, e.g., SQL, Python, R, pytorch, tensorflow, etc
Proficient with tools of formal project management, code repositories, ml ops
Strength in communicating complex concepts and translating them into actionable business recommendations
Ability to network and influence without authority, and to bring together disparate teams to build a center of excellence around experimentation and to drive cultural change around the adoption of best practices

Bonus points:

Passion for cycling, running, triathlons and/or experienced Zwifter
Passion for video games
Experience with subscription/SaaS businesses


Data Scientist

Seniority Level: Mid-Senior
Location: Long Beach, CA or US remote (in select stages)
About the role and about You:
You will be a key member of the Data Science team at Zwift, reporting to the Director, Data Science. You will partner with product, engineering, marketing, and data teams responsible for Zwift’s game client, content programming, companion app, website and marketing channels.
In partnership with the Director, Data Science you will be responsible for developing a deep and rigorous data-driven organizational understanding of the customer journey through the full spectrum of our product and the supporting ecosystems. The ideal candidate will bring with them knowledge of industry best practices and processes to develop our solutions for predictive analytics, machine learning, statistical inference, testing and experimentation, ML operations and deployment, quantitative R&D, and technical communication.
If this is you, and the thought of working for a company that blends fitness with the fun of video games sounds amazing, then please apply straight away.
What you’ll do:

Find opportunities and solutions across all dimensions of the business in which data science and sophisticated analytics can provide substantial insights, drive operational improvements, and “move the needle” for our key business outcomes
Partner with product, program, marketing, sales, and support teams to understand their strategic objectives and tactics, and to develop roadmaps for data-driven optimization using the principles of machine learning and statistical analysis.
Be one of Zwift’s experts on quantitative analysis and machine learning methodologies, mentoring colleagues and stakeholders to improve company-wide understanding of the role and application of predictive analytics, and continually advancing internal modeling, experimentation, and other analytical capabilities
Help drive continuous improvements in our core machine learning, forecasting, data, model deployment and reporting capabilities.
Actively “push the boundary” of our technical capabilities and help drive ideation for our analytics R&D efforts.
Champion the role of data science and be a trusted, objective, and recognized “voice of the data” across the organization
Collaborate with product and engineering teams to ensure that the product roadmap is aligned rigorously supported by data science
Support ad hoc request from the business that require advanced analytical and modeling capabilities

What we’re looking for:

3+ years of experience in data science or advanced analytical roles for a B2C/B2B technology-product business
Proven track record of excellence in identifying, leading and solving high-impact business problems using data science models and methods
Bachelor's or advanced degree in a quantitative field
Good knowledge in machine learning algorithms, applied statistical analysis, predictive model building, testing, and training
Proficient in relevant date science tools, libraries, frameworks, and applications, e.g., SQL, Python, R, pytorch, tensorflow, etc
Proficient with tools of formal project management, code repositories, ml ops
Strength in communicating complex concepts and translating them into actionable business recommendations
Ability to network and influence without authority, and to bring together disparate teams to build a center of excellence around experimentation and to drive cultural change around the adoption of best practices

Bonus points:

Passion for cycling, running, triathlons and/or experienced Zwifter
Passion for video games
Experience with subscription/SaaS businesses


Director Data Science

Seniority Level: Director
Location: Long Beach, CA or Remote
About the role and about You:
Zwift is looking for an innovative, experienced and mindful manager to build and lead the data science team. The focus of this role is on proactively seeing opportunities to improve our products, services, marketing and customer experience, partnering with multi-functional teams from across the organization to develop and iterate on innovative solutions and products, and building the capabilities and platform to enable rapid deployment of these new capabilities.
The company is at a pivotal moment in its development with exciting strategic plans, continuing rapid growth and offers the chance for a motivated and forward-thinking leader to have high impact and help shape the future of the business.
The ideal candidate will have a proven track record of applying sophisticated statistical and machine learning techniques to solving exciting business problems across a broad range of business functions. If you are a genius at balancing deep technical wizardry with the ability to deliver practical applications in a fast-paced environment, then this is the role for you.
What you’ll do:

 Establish the vision and roadmap for the data science team, prioritize the most impactful analyses, and guide team members in solving ambiguous and complex problems
Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applications
 Partner closely with Engineering, Product and Marketing leaders to develop innovative analytics solutions and products
 Provide thought leadership and hands-on expertise in advanced analytics applications to business problems across the spectrum, including: data mining, forecasting, target setting, retention / churn prediction, LTV, segmentation, experimentation, marketing effectiveness, auto-categorization, personalization and recommendations
 Partner with Data Engineering to build a platform for the development, testing, productization, deployment and monitoring of ML models
 Hire and develop a growing team of data scientists

What you'll have:

 Advanced Degree in Computer Science, Engineering, Econometrics, Math, Statistics, Information Sciences, or other quantitative fields
 12+ years of experience in analytics or data science teams, with 5+ years of industry experience building data science driven solutions to solve business problems and managing data science teams
 Proven experience with: machine learning, data mining, predictive modeling, statistics, experimental design, attribution, and econometric modeling
 Fluent in SQL and Python or R
 Expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication

Bonus points:

 Experience building and leading Experimentation best practices and capabilities across multiple platforms / products and customer touch points
 Passion for cycling, running, triathlons and/or experienced Zwifter
 Passion for video games


Data Scientist

Data Scientist – Global Payments & Fraud Management (GSS) Interested in working on strategic initiatives that allow for creativity and room for growth?  Do you have strong passion for using data and cutting-edge technologies to drive the best business decisions?  If so, read on…Sony Interactive Entertainment’s (SIE) Global Fraud Management and Global Payment Teams are the guardians of both customer trust and purchase success for PlayStation and the PlayStation® Network (PSN).  We provide innovative solutions to support every element of the network, various platform services, customer service teams, a diverse developer community, and more. SIE has just launched a next generation risk platform and machine learning framework that support the global, fast growing PlayStation® Network customer base, world class PlayStation® consoles, hand-held devices, PlayStation® TV, PlayStation® Music, PlayStation® Video and PlayStation® Now.  In doing so, the ability to extract information from data and drive action that help achieve business goals is essential.  GPFM’s Data Science team is responsible for evaluating online user activity data for potential fraud across this new platform.  Our job is to provide quantitative assessments of all customers and identify those individuals who pose the most risk to our businesses. We are currently looking for a high-caliber individual to join our team to demonstrate the benefits of being data driven for the Global Fraud Management, Global Payments and Account Security Teams.Responsibilities: 1.    Utilize various approaches to maximize value from predictive analytics solutions.  Optimize use of developed Machine-Learning algorithms in conjunction with other aspects of decision logic (rules, other models, etc.) 2.    Demonstrate understanding of predictive modeling methodology that detect fraud and other ecommerce risks. Provide feedback to modelers on new features, algos, strategy, and modeling ideas. 3.    Conduct robust statistical analysis to big data using hypothesis testing, design of experiment, inferential statistics, and more.4.    Improve decision performance by analyzing misclassification cases, hit rates, and customer feedback. Organize, document and simplify rule assessment.5.    Develop deep understanding of business challenges and recommend data features and functionality that can contribute to identifying risk and possible fraud. 6.    Assist the Software Development and Peer team members in testing and deploying decision changes (rules, models, etc.) on the newly created platformRequirements: 1.    Master’s degree in Statistics, Operations Research, Machine Learning or other related fields and a minimum of 5 years’ related work experience.2.    2+ years working with statistical modeling techniques (Regression, CHAID, Neural Networks, Cluster Analysis, RFs, XGBs, etc.).   3.    2+ years’ experience doing hands-on statistical analysis with some understanding of a statistical programming package such as SAS/SPSS/R/Python/Java/other is required.Preferred Skills:1.    Proven recent, experience working with optimization, statistical analysis, machine learning or text classification algorithms. 2.    Strong understanding of predictive modeling, data manipulation, data value assessment.  Creation and understanding of macros for automating above mentioned processes is strongly preferred. 3.    The candidate should demonstrate high energy/creativity, a passion for analyzing highly complex data sets, strong communication and project management skills, an entrepreneurial spirit, a relentless customer-focus, a practical understanding of quantitative methods, and superb attention to detail.


Lead Data Scientist Precision Mental Health

Our mission: eliminate every barrier to behavioral health.

Spring Health is a comprehensive mental health solution for employers and health plans. Unlike any other solution, we use clinically validated technology called Precision Mental Healthcare to pinpoint and deliver exactly what will work for each person  — whether that’s meditation, coaching, therapy, medication, and beyond.

Today, Spring Health serves more than 200 companies, from start-ups to multinational Fortune 500 corporations, and is a preferred mental health provider to companies like General Mills, Guardian, Bain, and Instacart. We have raised over $300 million from prominent investors including Kinnevik, Tiger Global, Northzone, RRE Ventures, Rethink Impact, Work-Bench, William K Warren Foundation, SemperVirens, Able Partners, True Capital Ventures, and a strategic investor, Guardian Life Insurance. Thanks to their partnership, our current valuation has reached $2 billion.

We are looking for an entrepreneurial and experienced data science leader to drive the science and algorithms powering Spring Health’s precision mental health engine. This is an exciting opportunity to design and implement innovative data products that will positively impact the lives of our members as well as contribute to and move the science and practice of mental health forward.

What you’ll be doing:

Conceptualize, design and execute an ambitious data science, ML and AI roadmap for our precision mental health initiative in partnership with product, clinical, and engineering leads.
Incubate and experiment proof of concept ML models, scale them to production and continually iterate towards better performance via A/B experiments
Rapidly design, prototype and test ML models in production to deliver best in class mental healthcare services and clinical decision support products.
Build and scale the analytics, algorithms and recommender systems that can identify and target risk stratified member populations and enable the right match for the right patient at the right time.
Rapidly iterate on early stage products where a hybrid skill set of product intuition, user/business empathy and data science expertise is essential
Identify and define new data opportunities and work with other team members to improve how we do data collection, storage, experimentation and analysis.

What we expect from you:

You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you
Significant (10+ years)  data science experience, ideally including an advanced degree in a data-related or otherwise quantitative field.
You have overseen the development of data products from discovery stage into production.
You have experience in a broad spectrum of data science techniques and are excited to apply them to solve complex clinical or business problems
Significant experience extracting insights from large data sets (structured and unstructured)
Experience using, building and enabling analytics infrastructure (ie data, analytics and ML pipelines)
Proficiency using ML in variety of contexts, particularly supervised/unsupervised learnings, recommendations systems, NLP, information extraction, search and ranking etc
Prior track record of successfully incubating, scaling and deploying (impactful) ML data products in production.
Ability to understand not only how to use an analytical technique but why it is or is not appropriate in a given situation, with available data, and for specific business needs
Strong presentation skills — fluently tell a compelling clinical or business story with data

#LI-BW1

Benefits of working at Spring Health:

Focus on total health including:
Generous medical, dental, vision coverage available day 1 + access to One Medical
Access to Spring Health’s platform which includes (10) free therapy sessions
Unlimited time off in addition to (12) paid holidays
16-18 weeks paid parental leave
$500 per year Wellness Reimbursement

Creating a culture you can thrive in:
Flexible remote and hybrid work style arrangements
Calm Fridays to encourage meeting & distraction free days
Donation matching to support your favorite causes
Dedicated employee resource groups

Supporting you financially through:
Competitive mix of salary and stock options
Employer sponsored 401(k) match

In addition to finding people who are truly excellent at what they do, we take our values at Spring Health seriously:

Members Come First We are genuine member advocates.

Move Fast to Change Lives We build with urgency and intention.

Take Ownership We extend trust and hold ourselves accountable.

Embrace Diverse Teams & Perspectives We find strength in the diversity of cultural backgrounds, ideas, and experiences.

Science Will Win We will achieve impact by innovation and evidence based frameworks.

Candor with Care We are open, honest and empathetic.

More information on Spring Health and what it is like to work here can be found here!

Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

#LI-remote


Director Data Science

Who We Are
Ro is the healthcare technology company building a patient-centric healthcare system. Ro's vertically-integrated primary care platform powers a personalized, end-to-end healthcare experience from diagnosis, to delivery of medication, to ongoing care. With a nationwide provider network, in-home care API, and proprietary pharmacy distribution centers, Ro is the only company to seamlessly connect telehealth and in-home care, diagnostics, and pharmacy services nationwide to provide high-quality, affordable healthcare without the need for insurance. Since 2017, Ro has facilitated more than six million digital healthcare visits in nearly every county in the United States, including 98% of primary care deserts. Ro also provides its patient-centric solutions including Workpath, its in-home care API, and Kit, its at-home diagnostic testing service, to other healthcare companies. Visit Ro.co for more information.

Ro was named #2 in Wellness on Fast Company's 2019 list of the World's Most Innovative Companies, listed by Inc. Magazine as a Best Place to Work in 2020 and 2021, and named one of FORTUNE's 2021 Best Workplaces In Health Care.

We are looking for a dynamic data science leader to advance our machine learning practice. In this player/coach role, you will own the data science roadmap and priorities from end-to-end, playing a hands-on role in everything from model building to ML infrastructure development, while also nurturing and growing a small team of data scientists.

What You'll Do:

Build world-class data products, world-class data science, and machine learning practice
Lead data science and applied machine learning efforts at the company level
Determine how data science and machine learning are best leveraged across the business, partnering with stakeholders in product, engineering, and leadership to build and prioritize a roadmap of initiatives and data products
Play a hands-on role in all facets of model development and deployment
Partner with engineering to define and build best-in-class machine learning tools, workflows, and infrastructure
Manage, mentor, and grow a small team of data scientists

What You'll Bring to the Team:

8+ years of experience in data science, algorithmic engineering or machine learning
3+ years of experience managing a team of data scientists in a rapidly scaling technology company
Deep technical background. MS or PhD in Computer Science, Machine Learning, Statistics, Operations Research or related field; or equivalent experience
The ability to apply your technical know-how in a variety of contexts – hands-on work; coaching and mentoring the team; influencing company strategy and roadmap
Excellent written and verbal communication skills
Adept at bringing structure to initially unstructured domains, and driving clarity and decision velocity on projects with multiple stakeholders
A track record of shipping data products and iterating on them

Bonus Points:
Prior experience building, deploying, and maintaining data products in a healthcare context

We've Got You Covered:

Full medical, dental, and vision insurance + OneMedical membership
Healthcare and Dependent Care FSA
401(k) with company match
Flexible PTO
Wellbeing + Learning & Growth reimbursements
Paid parental leave + Fertility benefits
Pet insurance
Student loan refinancing
Virtual resources for mindfulness, counseling, fitness, and physical therapy

At Ro, we believe that our diverse perspectives are our biggest strengths — and that embracing them will create real change in healthcare. As an equal opportunity employer, we are committed to building an inclusive environment where you can be you.

See our California Privacy Policy here.


Fraud Analyst Data Scientist

EXECUTIVE SUMMARY OF RESPONSIBILITIES
The Fraud Analyst/Data Scientist will develop predictive models and use proven statistical methodologies to validate fraud hypothesis. Will translate recommendations into development and implementation of sound mitigation controls involving new strategies and technologies. This role has direct impact on risk mitigation strategy of Lendistry. Success in this role requires quantitative abilities and industry and risk management experience as well as SAS/SQL/Python/R/ and knowledge ML techniques.
ABOUT LENDISTRY
Lendistry is a minority-led and technology-enabled small business and commercial real estate lender that innovates game changing lending practices for historically underserved small businesses. With Community Development Financial Institution (CDFI) and Community Development Entity (CDE) certifications, and offering SBA 7(a) loans through its subsidiary, Lendistry is a responsible partner for small businesses through their growth stages and beyond. We are a national employer whose mission is to provide economic opportunities and progressive growth for small business owners and their underserved communities as a source of financing and financial education.
GENERAL RESPONSIBILITIES
The Fraud Analyst/Data Scientist will support the Fraud department by extracting, compiling, transforming, creating, and analyzing large amounts of data from multiple sources as part of the risk mitigation effort.
As a member of the Fraud team, you will be providing the statistical evidence (and evaluating the conceptual soundness and performance) of new doctrines, strategies, models, technologies, and procedures to improve fraud detection efficacy and efficiency.
Help to validate the proof of concept of top of the industry customer authentication solutions to mitigate risk and to improve customer’s experience.
As a member of the Fraud team, you will help to identify and to evaluate the predictiveness of traditional and non-traditional variables and sources of data in order to incorporate them into existing fraud mitigation policies, procedures, controls at Lendistry.
Actively participate in partner meetings (internal and external) in order to exchange current fraud mitigation recommendations as well as providing and receiving feedback regarding existing controls and technologies.
Design and maintain fraud data repositories and ETL process in order to ensure accuracy and validity of fraud models policies and procedures.
Create fraud dashboards for all fraud types.
PROFICIENCIES
Excellent verbal and written communication skills.
Background in fraud detection / Risk Management and data science
Ideal background in open-source fraud solutions, claims based fraud detection and abnormally detection algorithms.
Familiarity with fraud detection technics (rule-based, statistical/predictive models, AI supervised and unsupervised learning)
Strong business and data analysis skills
Experience with Python, Tensorflow, and H2o packages.
Experience working with large datasets as well as unstructured data.
Basic experience developing automation including web scraping
Strong communication and interpersonal skills
Experience with drafting business requirements or business use cases specifically related to fraud detection services
Experience evaluating our source vendors and developing a proof of concept to illustrate the technical solutions proposed.
Sophisticated word processing and computer database skills, especially in Microsoft Word, PowerPoint, and Excel.
Ability to think creatively and innovatively.
Good interpersonal skills with the ability to work effectively with individuals and groups at all organizational levels, ability to work independently and as part of a team.
Strong analytical ability with active listening skills.
EDUCATION AND EXPERIENCE
Bachelor’s degree in a quantitative field: engineering, math, statistics etc. MS/PHD preferred
3+ years of experience in business analysis, customer segmentation, and/or predictive modeling, preferably in the financial services industry
2+ years in using machine learning packages such as Python, R, SAS


Sr Data Scientist Data Analytics

EXECUTIVE SUMMARY OF RESPONSIBILITIES
The Senior Data Scientist will help shape business strategy and product development decisions through data-driven insights. This is an exciting role for someone to make a direct impact on the risk, product, and revenue strategy of Lendistry. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: You know how to plow through data with SQL/Python/R/, surface insights using math/statistics/ML techniques, and measure the business impact using efficiency/conversion/profit metrics.
ABOUT LENDISTRY
Lendistry is the country’s largest minority-led and technology-enabled small business and commercial real estate lender with Community Development Financial Institution (CDFI) and Community Development Entity (CDE) certification. We are a national employer whose mission is to provide economic opportunities and progressive growth for small business owners and their underserved communities as a source of financing and financial education.
GENERAL RESPONSIBILITIES
Support the Analytics Department by leveraging data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to improve marketing strategy and reduce risk.
As a member of Analytics Team, research and develop new methodologies and techniques to help marketing decision and risk management.
Mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with sales opportunities and credit risks.
Act as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes, or development of new ones.
Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs.
Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes.
PROFICIENCIES
Excellent verbal and written communication skills.
Strong knowledge of 1 or more scripting and programming languages (R, Python, SQL, etc.)
Background in a variety modeling technique: GBM, logistic regression, clustering
Experience of Data ETL process is a plus
Sophisticated word processing and computer database skills, especially in Microsoft Word, PowerPoint and Excel.
Ability to think creatively and innovatively.
Good interpersonal skills with the ability to work effectively with individuals and groups at all organizational levels, ability to work independently and as part of a team.

Complete other related duties as assigned and support the Company’s strategic initiatives.

EDUCATION AND EXPERIENCE
MS/PHD degree in a quantitative field: engineering, math, statistics, finance etc.
3+ years of experience in analytics and predictive modeling, preferably in the financial services industry


Senior Data Scientist Product

Hinge Health is building the world’s most patient-centered Digital Musculoskeletal (MSK) Clinic™. It is now the leading Digital MSK Clinic, used by four in five employers and 90% of health plans with a digital MSK solution. Hinge Health reduces MSK pain, surgeries, and opioid use by pairing advanced wearable sensors and computer vision technology with a comprehensive clinical care team of physical therapists, physicians, and board-certified health coaches.

Hinge Health’s HingeConnect integrates with 750,000+ in-person providers and enables real-time interventions for elective MSK surgeries, driving proven medical claims reduction. Available to millions of members, Hinge Health is widely trusted by leading organizations, including Land O’Lakes, L.L. Bean, Salesforce, Self-Insured Schools of California, Southern Company, State of New Jersey, US Foods, and Verizon.

To Learn more  about our company & culture please visit:
http://www.hingehealth.com & https://www.hingehealth.com/diversity-equity-and-inclusion/

You’ll play a key role in analyzing data generated by our users as well as providing insights for a wide variety of internal teams (Product, Growth, Clinical, Commercial, Finance, Research) and large enterprise customers. You will be a highly-visible, trusted partner to many of our most important decision makers. This is a fantastic opportunity to join our fast-growing Data team and shape how Hinge Health puts its data to use.

WHAT YOU'LL ACCOMPLISH

Spearheading analysis and reporting with SQL/Python and interactive dashboards
Working across departments to standardize how our company runs business and product analysis
Building out our data dictionary and setting up aggregated views of our datasets

WHAT WE'RE LOOKING FOR

Experience in analytics with a focus on operational reporting (KPIs) and cross-functional analysis
Can take an analysis from stakeholder request, to an ad hoc query, to a high-caliber dashboard in hours
Adept at working with data engineers to set company-wide standards for our datasets, helping create a single source of truth for all analytics
Strong communication skills and patience when working with multiple stakeholders simultaneously
SQL experience required; Python a nice-to-have
Prior experience with BI/visualization tools (Tableau, Mode Analytics, Looker, etc.) a must
A high attention to detail and the ability to QA data at a glance or in depth
Ability to work autonomously and with minimal guidance

WHAT YOU'LL LOVE ABOUT US

Competitive compensation with meaningful equity
Medical, Dental, Vision, Disability and Life Insurance (We cover 100% of your premium and 75% for your dependents)
Flexible PTO
FSA/HSA accounts
Family & fertility benefit through Maven Clinic
401K match
3 months paid parental leave
Professional Development budget
Quarterly lifestyle benefit to use towards WFH equipment & fitness
Generous mental health stipend
Work from home policy
Opportunity to join a fantastically talented, diverse, and passionate team at a pivotal time in the company’s lifecycle

Pursuant to State Fair Pay Act, below is a summary of compensation elements for this role at the company if based in the following locations:

Colorado & New York State annual salary: $103,656 - $155,484

New York City annual salary: $123,400 - $185,100

________________________

We want to make you aware that there continues to be a significant increase in phishing attempts across all industries where fraudsters are impersonating real HR employees and sending fictitious job offers to applicants in a scheme to obtain sensitive information.

Please note that we will never ask for your financial information at any part of the interview process including the post-offer stage, and will only correspond through @hingehealth.com domain email addresses.

If you encounter any suspicious activity, we recommend you cease all communication with the individual and consider reporting them to the US FBI Internet Crime Complaint Center.

If you would like to verify the legitimacy of an email you received from our recruiting team, please forward it to security@hingehealth.com.

If you're interested - we'd love to hear from you. No recruiters, please.

Hinge Health is proud to be an Equal Employment Opportunity employer. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Hinge Health is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you feel you need assistance or an accommodation due to a disability, please let us know by reaching out to your Recruiter and we'll work with our accommodations team to evaluate your request.

We celebrate diversity and are committed to creating an inclusive environment for all employees.


Staff Data Scientist Product Analytics

Who We Are
Babylist is the leading vertical marketplace and commerce destination for baby, driving purchase decisions for more than 8 million people each year. Utilizing robust proprietary data, patented technology, and unbiased editorial guidance, Babylist recommends expert-tested products to those starting their parenting journey so loved ones can offer their support. Babylist registries connect new parents and their community of family and friends who help plan, prepare, and shop for a child's arrival. Babylist is the generational brand in baby, leading the $67 billion baby products market as the trusted go-to solution for growing families. To learn about Babylist’s registry options, editorial content, and more, visit www.babylist.com.
Our Ways of Working
We’re a remote-first company with team members located across the United States spanning multiple time zones. This means we put in extra effort to make sure we connect and collaborate in ways that make sense for us. We know how valuable the flexibility of remote work is for our employees so people can get the work done in the way that works for them and their teams. After all, many parents call Babylist their professional home, and sometimes, life puts you in a position where you just have to jump off that Zoom meeting to clean up that banana that’s getting stomped on by your 2 year old.
We know that personal connection is the foundation for the great work we do together. In order to quickly build those relationships, we offer the opportunity to meet with coworkers in person two times a year at a full company offsite and a departmental offsite. These are great opportunities to meet the people you work with every day and to do some of the work that is much more difficult to do virtually. Most of our roles are fully remote, but these opportunities to meet in person will involve limited amounts of travel. For some leaders, there might be more opportunities to get together in person that would require about 10% travel to Oakland, CA or elsewhere.
The Data Team
The Data Team at Babylist powers data-driven decision making through all aspects of the company’s business. We are not a service team. We are a product function with a strong focus on 3 core aspects of data -- engineering, analysis and data science. We are looking for a Staff Data Scientist to join our growing team.
The ideal candidate  has technical data skills, a deep understanding of product development & analytics, a strategic mindset, and excellent organization and communication skills. We are looking for critical thinkers who ask the right questions and seek answers with data. This key hire will be a thought leader among the company, mentoring others on problem solving and helping uncover new growth opportunities.
The Product Analytics Data Scientist will work directly with the Babylist Product Team to help craft delightful experiences e for both audiences in our userbase: expecting parents and gift givers.. This individual has extensive experience working with Product Managers, conversion funnels, experiment design, and can infer nuanced user behavior from the data. They’ll play a leading role in defining the instrumentation needed to monitor every facet of the Babylist ecosystem and provide measurement of feature performance. We are looking for someone who can spot when a new feature is going to impact ML training data or alter the interpretation of a commonly used KPI. This is an excellent opportunity for someone who wants to have a deep business impact while helping improve others around them.
What You'll Do

Lead data initiatives relating to new product development — scoping data changes for new features, specifying data collection, and monitoring result
Own and be a knowledge expert in our data tools
Work with stakeholders to translate their questions and hypotheses into structured analysis
Work with product managers, department heads/directions, and data engineers to mature the data capabilities of Babylist’s analytics ecosystem
Deliver deep-dive analysis and make recommendations for future initiatives or projects
Own the design and development of core data team products (e.g. data models, reports, analyses)
Effectively present and communicate analytics findings across the company

Who You Are

You have 6+ years delivering results in a Data Analyst, Data Scientist, or similar role at in a Product organization, ideally at an eCommerce company.
You have strong SQL fluency: ability to work with large datasets and advanced queries
You have familiarity with event analytics tools such as Segment and Amplitude, Heap or Indicative
You have experience with visualization tools such as Mode, Tableau or other BI platforms
You have experience with a scripting language like Python
You have experience with git version control
You have experience building descriptive and predictive machine learning models
You hav an understanding of data warehousing and relational data modeling, experience with and/or snowflake preferred
You have statistical methodology: experiment design, multivariate analysis
You have an impact oriented mindset; Demonstrated ability to ask the right questions, prioritize work and manage stakeholder expectations
You have next-level communication skills to understand and discover business pain points and build solutions
You have keen attention to detail and data integrity
You have a bachelors or masters degree with a strong quantitative focus

Your Core Competencies Might Include:

Plans and Aligns
Cultivates Innovation
Collaborates
Manages Complexity
Drives Results

Why You Will Love Working At Babylist

We are a remote first company and we invest in the infrastructure you’ll need to be supported and successful: tools, opportunities to connect with colleagues, and a stipend to help you set up your office
We build products that have a positive impact on millions of people’s lives
We work at a sustainable pace which means work/life balance is a real thing here
We believe technology and data can solve hard problems
We believe in exceptional management
We are an antiracist organization and doing the work to support differences of all kinds
We offer competitive pay and meaningful opportunities for career advancement
We have great benefits like company paid medical, dental, and vision, a generous paid parental leave policy, and 401k with company match
We care about employee wellbeing with perks for physical, mental and emotional health, parenting, childcare, and financial planning

If your experience is close to what we’re looking for, please consider applying. Experience comes in many forms – skills are transferable, and passion goes a long way. We know that diversity makes for the best problem-solving and creative thinking, which is why we’re dedicated to adding new perspectives to the team and encourage everyone to apply.

#bi-remote


Data Scientist Sr People Analytics

data scientist sr- People Analytics (Remote)  (
Job Number:
220047073)
Job Posting
Jun 28, 2022
Job Posting End Date
Ongoing
Location
US-WA-Seattle-Starbucks Support Center
Is this role eligible for remote or hybrid work? Yes-Remote
Starbucks - Data Analytics
Schedule
Full-time
Job Summary and Mission
Now Brewing – Senior Data Scientist, People Analytics #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and its rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Senior data scientist, you will support our people analytics efforts at Starbucks, focused on strengthening the Starbucks partner experience. As a member of our team, you will collaborate cross-functionally with data engineers, data scientists, business experts, and external vendors to help Starbucks make better decisions by using data and analytics skills. In this role, you will lead strategic initiatives aimed at optimizing Starbucks retail store operations using data science and simulation, and building Starbucks' next generation labor model system to forecast the number of store partners required to meet customer demands. In this position, you will investigate business problems related to store operations, build data solutions, uncover insights, and explain them to drive better business decisions. You will be confident in communicating with all levels of business partners.
As a senior data scientist, you will…
Lead the design and development of scalable data science solutions from the start to the finish by utilizing time series modeling, machine learning, and statistical analysis. Build scalable processes for cleaning, aggregating, and loading data.
Understanding business initiatives, challenges, questions, concerns, or ideas, transforming them into successful data science solutions, and monitor data science metrics and KPIs
Mentor data analysts & data scientists on best practices, processes, frameworks, and KPIs
Contribute to project planning, and assist the team with estimations, timelines, and prioritization. Assists in developing the analytical roadmap, data, and technology strategy.

We’d love to hear from people with:
Education: BS+ with a concentration in a quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science or similar discipline. Masters preferred
Minimum of 5+ years of industry experience in data and analytics work
Strong problem-solving skills with the ability to influence leadership teams at different levels
Significant experience working with predictive and statistical modeling, machine learning, and strong expertise in all phases of the modeling pipeline
Business experience with data visualization tools and storytelling
Experience in experimental design and common statistical analysis techniques
Strong SQL, databases, and ETL / ELT skills required including cleaning and managing data.
Advanced competency and expertise in Python, R, or some combination
Experience with cloud platforms such as Azure, AWS, and GCP
Experience working with distributed data processing frameworks such as Spark and Data bricks, and languages such as Java, PySpark, or Scala
Experience working with Dev Ops and/or ML Ops, preferred.
Retail and eCommerce experience, preferred
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
We are committed to creating a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving customers throughout our global communities. People of color, women, LGBTQIA+, veterans and persons with disabilities are encouraged to apply.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances. Starbucks Corporation is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at 206-318-0660 or via email at applicantaccommodation@starbucks.com


Lead Manager Data Science Product

lead manager data science, Product - Seattle or Remote (
Job Number:
220025480)
Job Posting
May 26, 2022
Job Posting End Date
Aug 25, 2022
Location
US-WA-Seattle-Starbucks Support Center
Is this role eligible for remote or hybrid work? Yes-Remote
Starbucks - Data Analytics
Schedule
Full-time
Now Brewing – Lead Manager Data Science! #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Starbucks Lead Data Science Manager, you will lead a team of data & decision scientists to build data products, uncover customer insights, & communicate discoveries that drive towards better decisions across the Product (Beverage, Food & Lobby, R&D), and Finance teams. You will develop a strong partnership with stakeholders to enhance understanding of our customers.
Leveraging your previous experience, we will enable you to:
Evaluate & translate unstructured questions from business teams to data problems, and define roadmap for potential data solutions.
Build relevant analytics solutions including data transformation, algorithm development, & insight generation.
Drive adoption of analytics data products & insights across business teams.
Utilize systems thinking approach to conceive, plan & prioritize building of evergreen data products.
Develop analytic systems & predictive models, experiment with new data science techniques, and visualize data & craft effective communications to share discoveries
Establish key performance indicators for the business team and promote data driven decision making that allows for effective planning in stakeholder teams
Establish yourself & the team as subject matter experts in advanced analytics across departments.
Mentor data & decision scientists in pioneering techniques and business acumen
We’d love to hear from people with:
Demonstrated experience with data munging, analysis, machine learning techniques, visualization & story-telling to executive audiences.
Strong problem solving skills with ability to influence leadership teams at different levels
Expert proficiency in data analysis using SQL
Expert knowledge of statistical analysis & machine learning methods (descriptive statistics, regression, clustering methods, etc.
Business experience with data visualization tools (e.g., Tableau, Power BI), and authoring presentations or papers.
Working knowledge of data systems design & data technologies.
Experience writing & providing feedback on scripts & coding (Python or R, Scala/Java a plus)
Retail, Finance, and/or eCommerce experience preferred
Join us and be part of something bigger.  Apply today!
Starbucks and its brands are an equal opportunity employer of all qualified individuals.
We are committed to creating a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving customers throughout our global communities. People of color, women, LGBTQIA+, veterans and persons with disabilities are encouraged to apply.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances. Starbucks Corporation is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at 206-318-0660 or via email at applicantaccommodation@starbucks.com


Decision Scientist Multiple Openings

decision scientist (multiple openings) - Remote (
Job Number:
220042760)
Job Posting
Jul 14, 2022
Job Posting End Date
Aug 14, 2022
Location
US-WA-Seattle-Starbucks Support Center
Is this role eligible for remote or hybrid work? Yes-Remote
Starbucks - Data Analytics
Schedule
Full-time
Now Brewing – Decision Scientist! #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only
celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Decision Scientist on the Data, Analytics, Insights, and Business Operations team, you will work cross-functionally with data engineers, data scientists, business experts, and external vendors to help Starbucks make decisions better by using data and analytics.  You will leverage statistical analysis, data visualization, and storytelling to help us identify opportunities. You will consult with cross-functional business teams, collaborate closely with technology teams, and identify ways to improve existing processes or analytical approaches. You will quickly become an expert in one of our key business and data domains (Supply Chain, People Analytics, Marketing, or Store) and work cross functionally in an analytics center of excellence to improve existing processes or analytical approaches
As a decision scientist, you will…
Extract and transform data from multiple sources in preparation for exploratory data analysis, modeling, and reporting.
Determines analytics approach to solve business problems
Transform model outputs into formats that are digestible to the end users through visualization, clear tables, and/or thoughtful presentations. Assist technical and non-technical end users in how to leverage and interpret the analysis.
We’d love to hear from people with:
Education: BS+ with concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science, or similar discipline
Minimum of 3+ years industry experience in data or decision science
Strong background working with predictive and statistical modeling, machine learning and strong expertise in all phases of the modeling pipeline
Experience building complex data sets from multiple data sources, both internally and externally.
Strong SQL, database and ETL skills required including cleaning and managing data.
Advanced competency and expertise in Python, R or some combination
Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities
Ability to educate others on statistical / machine learning methods
Self-starter, attention to details and results orientated, able to work under minimal guidance.
Proficient in communicating effectively with both technical and nontechnical stakeholders.
Experience on Cloud platforms such as Azure, AWS, preferred
Join us and be part of something bigger.  Apply today!


Sr Decision Scientist Product Finance

Sr. Decision Scientist – Product & Finance (Seattle, Phoenix, Chicago, or Remote)  (
Job Number:
220035182)
Job Posting
Jun 23, 2022
Job Posting End Date
Ongoing
Location
US-WA-Seattle-Starbucks Support Center
Is this role eligible for remote or hybrid work? Yes-Remote
Starbucks - Business Strategy
Schedule
Full-time
Job Summary and Mission
This job contributes to Starbucks success by guiding business decisions through being able to provide thought leadership & analytics subject matter expertise to relevant business objectives.  You will be able to design & recommend appropriate analytics approaches to solve key business problems, which can be developed in a cross-functional manner, and can be consumed by business partners at all levels. There needs to be a focused attention on insights personalization that focuses on turning data into information.
Models and acts in accordance with Starbucks guiding principles.
Summary of Key Responsibilities
Responsibilities and essential job functions include but are not limited to the following:
Analyze business requirements for Core Product & Finance teams, and assess impact of potential analytics solutions or novel research methods & metric definitions to support decisions in these teams
Actively consult with stakeholders to identify pain points in customer journey, ideate where analytics insights or data products may be useful, and co-create high-level solutions with a cross-functional working team.
Structure ambiguous problems collaborating with business SMEs and across the larger Analytics & Insights community to help design pragmatic data products (dashboards, data science models, ad-hoc analyses) that create tangible impact for business teams.
Influence adoption of insights to support data-informed decisions
Communicate technical insights & methodology from analytics & data science projects to business partners at various levels in the organization that enables understanding and drives actionability.
Provide critical thinking and analytics subject matter expertise in stakeholder engagements
Lead discussions with business partners to define business questions and recommend appropriate methods to address business questions; translate unstructured strategic questions into structured analysis plan
Partner with other Data Science, and Technology teams to implement analytic insights and recommendations into business processes (e.g., automation of new KPIs, user acceptance testing for additional data feeds)
Extract data from various databases; perform exploratory data analyses, cleaning & aggregating insights. Employ scaling & automation to data preparation techniques
Introduce incremental improvements to data analysis, visualization, and presentation techniques to communicate discoveries
Research relevant emerging empirical methods and quantitative tools
Possess in-depth business knowledge to initiate and drive discussions with business partners to identify business issues needing analytic solutions
Establish brand and team as subject matter experts in advanced analytics across departments
Mentor junior data scientists in pioneering techniques and business acumen
Summary of Experience
Minimum 3 years experince within data analysis field or discipline
Basic Qualifications
Education: BA/BS w/ concentration in business or quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, or similar; Masters preferred
Required Knowledge, Skills and Abilities
Demonstrated experience with analytical methods, business process analysis & analytics enablement
High proficiency in developing key metrics for driving & maintaining healthy business performance
Strong problem solving skills with ability to influence leadership teams at different levels
Working knowledge of data systems design & data technologies
Some knowledge of statistics & scripting (SQL, Python or R)
Ability to handle, and maintain the confidentiality of, highly sensitive information.
Demonstrated experience with communication tools (PowerPoint, virtual collaboration spaces)
Business experience with several data visualization tools (e.g., Tableau)
Retail, customer loyalty, marketing or eCommerce experience preferred

Starbucks and its brands are an equal opportunity employer of all qualified individuals.
We are committed to creating a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving customers throughout our global communities. People of color, women, LGBTQIA+, veterans and persons with disabilities are encouraged to apply.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances. Starbucks Corporation is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at 206-318-0660 or via email at applicantaccommodation@starbucks.com


Senior Data Scientist

Your opportunity
Using Data Scientist principles, help build Data Web Applications that power the Growth, GTM, Product, and Sales teams at NewRelic. We seek Data Scientists who are passionate about building web-based data products that will enable the entire company to consume actionable insights.
We are a fast-growing Data Engineering & Technology team building an “internal-facing data product” with a bold, ambitious vision to build the core data foundation needed to run a successful consumption business. We build core data products, promote data-driven culture, democratize insights through self-service, and establish a single source of truth in business and customer metrics.
Opportunity to work from a remote office may be available depending on applicant location.
What you'll do
Mine and analyze data from the EDW (Enterprise Data Warehouse) and other data sources in the organization to build CFS (Central Feature Store) as a foundation to support multiple DS use cases. Work with internal customers and data engineers to build and deploy Data Science models to support business use cases of customer acquisition, cross-sell/upsell, and customer retention. Work with Statistical computer languages Python, SQL, and libraries (NumPy, Pandas) to manipulate data and draw insights from large data sets
This role requires
BS/MS degree in Computer Science or PhD in Statistics, Mathematics, Data ScienceThree plus years of experience as a Data ScientistHands-on working with Python and SQL.Demonstrated ability in using numerical and machine learning libraries (NumPy, Pandas, sci-kit-learn, Tensorflow, etc.)Strong experience with the open-source and AWS Cloud ecosystem (experience with EMR, EKS, Snowflake, S3, SageMaker, and abacus.ai)Learning/statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning, and Reinforcement Learning.
Bonus points if you have
Natural Language Processing/Machine Learning


Senior Data Scientist

Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world’s biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming’s other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage.
Overview & Responsibilities
Interest in applying machine learning e.g., supervised methods like logistic regression, SVMs, random forests, deep learning & reinforcement learning, to existing products and services to improve their effectiveness and the overall user experience across our digital properties. Leverage datasets like traffic/video/consumption data from Adobe Analytics clickStream, purchase/subscription data, audience data from syndicated audience measurement services (comScore/ Nielsen), and Ad revenue data from Doubleclick, to model, analyze and predict user behavior. Utilize various statistical measures (mean, median, variance, etc.), distributions (uniform, normal, binomial, Poisson, etc.) and analysis methods (ANOVA, hypothesis testing, etc.) to build and validate models from observed data.
Responsibilities
Build and implement production machine learning systems
Maintain the health of Machine Learning systems (speed, reliability, performance)
Develop internal Machine Learning frameworks and abstractions to facilitate common tasks such as training/testing, feature use/reuse/creation/storage, and deployment. These abstractions are used by both Machine Learning engineers and Data Scientists/BI
Design machine learning systems
Develop Data Science solutions to measure and forecast the impact of content, marketing, and product initiatives in driving subscriber growth
Design Machine Learning systems to scale science solutions across a complex global ecosystem of streaming services and content
Build forecasting and causal models to optimize channel- and title-level media spend
Inform the optimal deployment of Paramount+ capital and resources through data-driven recommendations
Maintain the health of machine learning systems, including speed, model accuracy, reliability, and performance
Document, train, and mentor members of the Data and BI teams on ML concepts and principles, and how they can be applied to solve day-to-day business needs
Work on models such as Media Mix Models, LTV Forecasting, Subscriber Propensity Models, Content Valuation & Forecasting, and “Green Light” Models.
Build a user-level data management platform that serves as the central data hub allowing Machine Learning software components to “plug in” and segment users, predict future purchase behavior, identify users at risk of churning, and personalize their online experiences
Use look-alike modeling derived from Adobe Analytics clickStream-sourced behavioral data to build more significant audience segments from smaller segments to create targeted “reach” for advertisers.
Contribute to device/user graph/CDP that accounts for multi-platform access and pan-visit user behavior.
Incorporate “anomaly detection” across KPIs, metrics, and datasets to proactively find data issues, data load problems, and failures with minimal human supervision
Basic Qualifications:
4+ years of experience in Data Science and ML Engineering
BS, MS or Ph.D in Statistics/Data Science/Computer Science or related disciplines with specialization in data mining or machine learning techniques
Knowledge of both supervised and unsupervised machine learning techniques
Full stack experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science products
The ability to write robust code in Python and leverage associated machine learning packages
Experience using Jupyter Notebooks
Familiarity with a breadth of statistical models and methods (i.e., causal methods, tree-based algorithms, time series analysis, regression analysis, experimental design, hypothesis testing)
Communicate concisely and persuasively with engineers and product managers
Strong detail orientation with a penchant for data accuracy and good grammar
Familiar with version control systems (Git, BitBucket)
Additional Qualifications
Familiarity with Hadoop pipelines using Spark, Kafka.
Familiarity with Graph Databases (Neo4J)
Proficiency in big data modeling work in warehouse solutions such as BigQuery
Experience using Atlassian project management tools (JIRA, Confluence)
Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs)
Ability to wrangle data using SQL, Pandas, MongoDB
Background in NLP or text mining techniques
Background in deep learning and Tensorflow
#LI-FV 32607
#LI-REMOTE
Paramount is an equal opportunity employer (EOE) including disability/vet.
At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access. https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to viacomaccommodations@viacom.com. Only messages left for this purpose will be returned.


Senior Data Scientist Ads Analytics

We are looking for a Data Scientist to work with our Ads Formats product team. You will partner closely with cross functional team members such as Product Managers, Engineers, Designers, etc. in utilizing data to drive product decision and strategy. In addition to strong analytical skills, you will have an interest in data quality and collaborating with engineers to ensure we have the data we need to assess product performance.
How You’ll Have Impact:
Advertising is Reddit’s primary business model and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities that drive action. This large number of self-governed communities have highly-engaged users who are in an unduplicated mindset of consuming relevant information. This has created the opportunity for Reddit to build a massive and highly differentiated ads business.
We have spent the past few years building the foundations of a modern ad serving system, building features to help brand and performance advertisers find their audiences on Reddit and get high ROI on their ad spend. We’re now ready to build differentiated products on top of those foundations, utilizing data to drive the product decisions for both short term and long term bets.
As a data scientist on the ads data team you’ll be a key player in ensuring we make the right product decisions based on data insights, play with the large data from one of the largest websites, and help define the culture and frameworks for future team members. Reddit sits in a unique place, where there are still a lot of low hanging fruit opportunities that will immediately impact millions of users and thousands of advertisers.
What You’ll Learn:

You will partner closely with our Ads Product and Engineering team, which is the core driver of revenue for the company. You’ll play a key role in developing Ads product strategy and experiments. You’ll play with petabytes of data full of user and advertiser interactions to develop a deeper understanding of Reddit’s ads ecosystem.
In addition, you will work side by side with a world-class org of Engineering, ML, Search, Data Science, Data Warehouse, and Analytics practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, statistical frameworks, machine learning, deep learning, and causal inference.

What You’ll Do:

Analyze conversations and behaviors across Reddit's 10,000 interest-based communities, and convert them into insights and product recommendations.
Understand Reddit advertising and help the company improve Ads Revenue while simultaneously improving ROAS (Return on Ads Spend) for advertisers.
Conduct product/feature analyses, opportunity sizing, experimentation (A/B testing) and build dashboards/visualizations to assess product health.
Organize data by designing table schemas, data pipelines, aggregations, alerts and general data infrastructure for the Ads Organization.
Collaborate with various cross-functional stakeholders, including Product Managers, Engineers, Designers, UX Researchers, Data Engineers and Data Warehouse Engineers to lead projects related to organizing and analyzing data.
Be an integral part of the Data Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.

Who You Might Be:

2+ years of experience in data analytics or related quantitative role
Demonstrated ability to influence and guide product strategy with data
Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
Strong ability to communicate and discuss complex topics with technical & non-technical audiences
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
Proficiency with dashboarding tools (e.g. Mode Analytics, Tableau, Looker)
Experience in online advertising


Senior Data Scientist

Job Summary:
The Team:
Disney Media and Entertainment Distribution’s mission (DMED) is to delight consumers around the world with the entertainment and sports content they want most, with more choice, personalization, and convenience than ever before.Comprised of Disney’s International media businesses and the Company’s streaming and linear services, the DMED Engineering segment aligns technology, content and distribution platforms to expand the Company’s global footprint and deliver world-class, personalized entertainment experiences to consumers around the world.DMED is responsible for The Walt Disney Company’s direct-to-consumer businesses globally, including the ESPN+ sports streaming service, programmed in conjunction with ESPN; Disney+, the Disney-branded direct-to-consumer streaming service; global advertising sales and ad technology for all of Disney’s media properties, including ABC, ESPN, Freeform, FX Networks, National Geographic and the Disney Channels; HotStar, the leading over-the-top streaming service in India; and the Company’s majority ownership stake in Hulu.
Job Overview :
We are looking for a Senior Data Scientist to join our newly created Data & Intelligence team in the DMED Technology’s Content Platforms group.The data scientist will join a team of engineers and product managers to deliver the world’s most innovative, automated, and technologically advanced content platform through the integration of predictive models and analytical insight.The core contributions of the Senior Data Scientist will consist of technically define problems gathered from stakeholders, define experimentation setups, research data driven solutions to the problems identified, provide technical mentorship to other data scientists and communicate results to stakeholders.
Responsibilities :
Serve as a technical and leadership mentor to the team. Encourage and set the example for collaboration across functions. Forge solid relationships with peers in other disciplines.Design and implement models and methodologies on variety of datasets to achieve operational excellence and personalization efforts for our digital product lineupMake strategic recommendations on data collection, integration and retention incorporating business requirements and knowledge of best practices.Become and stay an expert in current and emerging technologies and tools.
Basic Qualifications :
Proven excellence in leading and contributing to Data Science projects in a commercial settingProven track (patents, publications) of pushing state of the art in the data science / machine learning space.Strong communication, interpersonal skills and fortitude to get stuff doneExperience in leading discovery processes with stakeholders to identify the business requirements and the expected outcomeCapability to educate the organization both from technical and the business perspectives on new approaches, such as testing hypotheses and statistical validation of resultsProven experience providing technical mentorship to junior team membersDemonstrate the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, fairness and aptitude for original research Comfortable working in a team environment using Agile methodologiesExpert level in machine learning architecture and model development, ideally contributing to one of the main machine learning frameworks.Up to date knowledge on PyTorch and packages in its ecosystem (3+ years)Strong working knowledge of statistical frameworks (Pandas, NumPy/SciPy, scikit-learn) (5+ years)Strong working knowledge of machine learning frameworks (PyTorch, TensorFlow) (5+ years)Mastery in at least one high-level programming language such as Python or Scala (7+ years)Expert level in advanced analytic and statistical modelingExperience monitoring the full life cycle of modelsMastery in SQL and experience with NoSQL databasesExperience with human-in-the-loop machine learning solutionsExperience with cloud platforms such as AWS, Google Cloud, AzureExperience with DockerExperience with ETL pipelines
Preferred Qualifications :
Experience with distributed processing relevant technologies like Kafka and HadoopExperience crafting visualization toolsMedia Industry experience
Required Education :
M.S. degree in the fields of Economics, Analytics, Mathematics, Computer Science, Statistics, Machine Learning, or other quantitative fields
Preferred Education :
Ph.D. in the fields of Economics, Analytics, Mathematics, Computer Science, Statistics, Machine Learning, or other quantitative fields


Data Scientist Machine Learning

Credit Sesame is the only platform that helps consumers achieve financial wellness by allowing them to manage and grow their credit and cash in one place, for free.  We have created a whole new market category in financial services that sits at the intersection of a credit market place and credit builder digital banking services.  Our purpose is clear, to make financial inclusion and wellness a reality for everyone.
We’re seeking a highly motivated Data Scientist to join our team and build predictive models that impact credit-related decisions made by millions of members.  This person will be responsible for developing, productionizing, maintaining, and monitoring ML models affecting all components of our business.
You'll...
Join a centralized Data Science team that is part of our larger Engineering org;
Use Python and SQL to develop machine learning models whose predictions drive many key aspects of our business, ranging from deciding which email to send to which user on each day, to product recommendations at scale on our web and app platforms, to forecasting and anomaly detection systems;
Work closely with our Data Engineering and MLOps teams to deploy these models across our Mobile App, Desktop, and Mobile Web platforms;
Collaborate with the Analytics team to design and analyze experiments which test the performance of our models;
Build parameterized dashboards (in Looker) to monitor both machine learning performance metrics and funnel metrics important to the business;
Initiate and lead new modeling projects as well as support initiatives spearheaded by the Product team;
Design and implement efficient pipelines both for model maintenance and for model deployment;
Pitch your ideas and present your results to stakeholders including our CRM (customer relationship management), Product, and Marketing teams.
You're a great fit for our team because...
You are strongly self-motivated, have a mindset of getting things done, are willing to pick up new skills as needed, and iterate quickly as appropriate;
You can communicate clearly and confidently to technical as well as non-technical audiences;
You have knowledge of machine learning packages (scikit-learn, XGBoost, etc.) and algorithms (logistic regression, random forest classifier, gradient boosting regressor, etc.);
You have knowledge of Python visualization libraries such as Matplotlib and Seaborn; knowledge of Plotly, Altair, and others is a plus;
You have experience translating machine learning predictions into actionable recommendations for solving practical business problems;
You have strong proficiency in writing correct and efficient SQL queries;
You are proficient at programming in Python, and at using Git (any other programming skills are a plus!);
You have 2+ years of relevant experience, or a similar mix of experience and education in a quantitative field;
You have knowledge of statistics and experiment design;
You are comfortable with being process-driven like an engineer, and purpose-driven like a business manager;
You can juggle multiple tasks in a fast-paced environment;
You can work in a cross-functional team and manage multiple stakeholders;
You can balance short-, medium-, and long-term objectives and successfully deliver on all fronts;
You want to work, excel, and grow in a diverse, challenging, and highly collaborative environment.
(Pluses) You have experience:
Building machine learning models that were deployed as a service, with predictions being made in real time;
Solving constrained optimization problems by leveraging business rules alongside machine learning models;
Optimizing multi-step conversion funnels, spanning from impressions to clicks and ultimately to conversions;
Building production-grade models for ranking content displayed to users;
Developing models that optimize for business outcomes (e.g., revenue) without resorting to localized, greedy optimization (e.g., maximize short term revenue without regard for long term effects);
Formulating and building models to predict customers’ Lifetime Value (LTV);
Predicting customer churn and/or retention.
You'll love it here because...
you‘ll have huge potential to grow with a company that’s a category leader;
you’ll have equity in a pre-IPO company backed by top VCs;
we offer comprehensive medical, dental, and vision insurance;
we offer monthly phone and internet reimbursement;
we prize EQ and empathy, and have a culture that emphasizes total wellness, including work-life harmony.
We're open to hiring remotely in both the US and Canada for this role. We also have offices located in Mountain View, San Francisco, and Toronto.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.


Data Scientist

Advance your Data Science career at Liberty Mutual Insurance- A Fortune 100 Company!
Our Product Design and Modeling team is growing and is searching for passionate Data Scientists at multiple levels to join our team.  These are incredible opportunities to leverage and hone your data science skills and to help build models, design new products and drive pricing sophistication.  You will use machine learning, predictive analytic techniques, and languages/software such as SAS and Python.  These roles work collaboratively across Product Design and Modeling on a Global scale.
Responsibilities:
Develop expertise in products requiring price segmentation and in available analytic data.
Support the evaluation of profitability, growth, and product design
Where appropriate, build loss cost, loss ratio, and/or non-pricing models of moderate complexity across lines of business, and more complex models under general direction
Explore and utilize advanced modeling techniques (e.g., machine learning techniques such as Elastic Nets)
Recommend and execute proposals for meaningful improvement
Evaluate and recommend pricing on optional coverages
Collaborate with Delivery and Economics teams to help implement revised pricing
Potential for up to 10% travel
Remote work available
Job Specifications:
Reference:  2022-48901
Category: Data Science
Primary Location: Remote
Additional Locations:
Schedule: Full-Time
Salary: USD-$87,900.00-–-$161,600.00-/-Year
Education Level:
 Travel: As Needed