Senior Data Scientist

As a Senior Data Scientist with the Advanced Analytics and Evaluation team, you will provide innovative analytic and data science support for client facing projects across the State of California. You will serve as the senior data scientist on a wide variety of data science projects from across the state. You will serve as a key advisor on exploratory, statistical, and predictive analytics to inform data-driven decisions.
You will help evaluate and decide on the best approach for projects from both an ethical lens, as well as statistical lens. You will help advise teams across the state on responsible, effective, and ethical data science practices.
You will collaborate with the team’s data engineers and data analysts on the projects. Years of experience is the primary distinguisher between our principal data scientist (5+ years) and senior data scientist (3+ years).
CalData works across all departments in the state, with data that reaches all Californians. You will find the problems and challenges we engage with need the heart as much as the mind.
About you: You are an experienced data scientist who wants to create impact at scale. The following bullet points describe you:
You are a responsible, thoughtful, and rigorous user of advanced statistical techniquesYou know from experience that modeling is one of many steps to drive data driven decisions makingYou want to bring the right approach to solve the client’s problemYou avoid needless statistical complexityYou are eager to consult, brainstorm, and advise other data teamsYou enjoy abstracting your approaches and helping to build capacity across multiple teamsYou enjoy the process of communicating and collaborating with both technical clients and non-technical clients to truly understand a problem and its dataYou have an eye for sustainability and take great joy in improving data science practices at scaleYou understand the concepts of institutional and structural racism and bias and their impact on data and analytics.
Location: ODI staff reside throughout California. The employee’s workstation is located in Sacramento, CA. Travel to the Sacramento headquarters may be required as needed. This position provides telework opportunities in accordance with agency telework policies. (Must currently reside in California)
Annual Salary: $130,008 to $160,008 based on experience
Benefits: The state offers many benefits
Last day to apply: Open until filled. First application review begins Wednesday, December 7, 2022
What you’ll do
Serve as the senior data scientist for advanced analytics and data science projects from across the stateHelp define best practices in advanced analytics and data science and help grow these practices within ODI and across the stateParticipate in project solicitation, vetting, and scoping processes to identify client projects across the state
Apply now
About ODI
We deliver better services to Californians through technology and design. We do so through close partnership with other state departments. Our goal is to create programs and products that are more equitable and effective. We listen to Californians who use a program now or may do so tomorrow and learn about what they need.
We:
Build tools and productsCreate and enhance digital servicesConduct researchIdentify data solutionsOffer training
We are a cross-discipline staff with blended backgrounds in:
DesignEngineeringProductOperationsDataResearchPolicyStrategy
Learn more about ODI’s vision and mission.
About CalData division
CalData uses data to deliver better decisions, services, and outcomes for Californians.
As the central data team for the state, we empower people to use data. We build infrastructure, develop processes, and train people to better manage and use data. We want the state’s data use to be:
EfficientEffectiveSecureResponsible
To help state departments use data well, we created California’s Data Strategy. We use a road analogy to illustrate the strategy. We must:
Build data roadsCraft rules of the roadBoost the drivers
Read the full strategy in Google Doc or PDF.
More details about CalData, our positions, and how we work are available in our Gitbook.
Diversity, equity, and inclusion at ODI
Diversity, equity, and inclusion help us deliver better government services to Californians.
Fostering diversity inspires better ideas and more innovative thinking.Feeling included nurtures a shared sense of community. This drives us to take collective action on challenging problems.Prioritizing equity ensures we build solutions for people whose needs are often overlooked.
We acknowledge our history and present of implicit and structural injustice, bias, and discrimination. We see, hear, and accept each other and the lived experiences we bring to our work. We support each other in learning and developing so we can help all Californians thrive.
We understand this work is never done. That’s why we commit to constant improvement.


Lead Data Scientist

WHO WE ARE

Each year, 2 billion people across the world are limited by physical pain. By helping people live without pain, they are free to do the things they love most with the people they love—and never miss a moment. This is what we do. We create and design new technologies to solve one of the biggest problems in healthcare: taking care of our Physical Health. Sword Health is the world’s fastest growing digital musculoskeletal (MSK) care provider on a bold mission to free two billion people from acute, chronic, and post-surgical physical pain . Our customers include some of the most progressive Fortune 100 and 500 companies, as well as over 160+ other established businesses across the world.

The Sword program allows members to complete a personalized physical therapy program from the comfort of home, with continued support and supervision from one of our talented SWORD specialists. Sword’s personalized care is more effective than traditional standards of care, and has proven to deliver best-in-class clinical results. Since breaking into the market less than two years ago, Sword has worked with insurers, health systems, and employers in the U.S., Canada, Europe, and Australia to make high quality musculoskeletal care accessible to everyone.

This is an opportunity to join Sword during a time of hyper growth and expansion. After our recent $2bn valuation, we’re excited to continue accelerating our impact by scaling with high caliber people with passion, commitment and energy to create and deliver technologies, services and products that drive human progress forward.

We welcome you to join our mission, to make a difference on a grand scale and play a pivotal role with a global team at Sword– working alongside great people pioneering novel products and cutting edge technologies.

DATA SCIENCE TEAM
Our data science team is responsible for instilling and supporting a data-centric culture across multiple verticals at Sword by helping other teams leverage their data in the most effective way. They thrive at using Statistics and Machine learning to derive insights of a constantly evolving product.

What you’ll do:

Work alongside multiple verticals in the company to identify data-related opportunities
Provide insights about behaviours, trends and causal relationships to influence product development as well as the overall company’s strategy
Present findings in both written and oral form to relevant stakeholders
Participate in the design, execution, and analysis of experiments of product rollouts
Instill a rigorous statistical and testing culture across SWORD

About you:

5+ years of experience in Data Science roles
Experience using Descriptive and Inferential Statistics in the context of a product
Experience using Machine Learning to derive insights and find patterns in the data
Working knowledge of SQL as well as statistical packages (such as those in R or Python)
Experience leading complex and ambiguous initiatives with full autonomy
Ability to learn quickly and dive deep into new subjects
Ability to interface and communicate clearly with non-technical stakeholders

To ensure you feel good solving a big Human problem, we offer:

A stimulating, fast-paced environment with lots of room for creativity
A bright future at a promising high-tech startup company
Career development and growth, with a competitive salary
The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare
A stimulating environment with room for creativity
A flexible environment where you can control your hours (remotely) with unlimited vacation
Access to our health and well-being program (digital therapist sessions)
Remote or Hybrid work policy

At Sword, we are proud to be an Equal Employment Opportunity employer.  We champion diversity and are committed to building a team that represents a variety of backgrounds, perspectives and skills.  At SWORD, we believe that diversity and inclusion among our applicants and teammates is critical to our success as a global company.  The more inclusive we are the better our work will be.

Sword Benefits - Portugal
Health, dental and vision Insurance
Meal Allowance
Equity Shares

Sword Perks - Portugal
Phone Stipend
Flexible working hours
Work from home
Unlimited Vacation
Free Digital Therapist for your family
Snacks and Beverages


Senior Data Scientist

Each year, 2 billion people across the world are limited by physical pain. By helping people live without pain, they are free to do the things they love most with the people they love—and never miss a moment. This is what we do. We create and design new technologies to solve one of the biggest problems in healthcare: taking care of our Physical Health. Sword Health is the world’s fastest growing digital musculoskeletal (MSK) care provider on a bold mission to free two billion people from acute, chronic, and post-surgical physical pain. Our customers include some of the most progressive Fortune 100 and 500 companies, as well as over 160+ other established businesses across the world.

The Sword program allows members to complete a personalized physical therapy program from the comfort of home, with continued support and supervision from one of our talented Sword specialists. Sword’s personalized care is more effective than traditional standards of care, and has proven to deliver best-in-class clinical results. Since breaking into the market less than two years ago, Sword has worked with insurers, health systems, and employers in the U.S., Canada, Europe, and Australia to make high quality musculoskeletal care accessible to everyone.

This is an opportunity to join Sword during a time of hyper growth and expansion. After our recent $2bn valuation, we’re excited to continue accelerating our impact by scaling with high caliber people with passion, commitment and energy to create and deliver technologies, services and products that drive human progress forward. We welcome you to join our mission, to make a difference on a grand scale and play a pivotal role with a global team at Sword– working alongside great people pioneering novel products and cutting edge technologies.

Sword Health is looking for a Senior Data Scientist to lead the first AI/ML projects of the Predictive Solutions group, which will power the Sword platform from end-to-end. You will design, prototype and test novel clinical and digital interventions and models to predict every aspect of a member’s journey with Sword. You’ll leverage machine learning and deep learning (including recurrent and convolutional neural networks) to predict utilization, outcomes, and engagement across musculoskeletal health and pain conditions. You will be part of a new team at Sword that is helping our business grow to the next level through novel uses of member-level data. You will have a tremendous impact on millions of lives.  Read on if you think you've got the right stuff.

What you’ll do:

•	Lead data science projects to design, prototype and test novel clinical and digital interventions and models, leveraging machine learning and deep learning (including recurrent and convolutional neural networks) to predict utilization, outcomes, and engagement across musculoskeletal health and pain needs.
•	Leverage advanced programming and large datasets towards those ends, including structure and unstructured clinical notes, focused on developing domain expertise in digital health and musculoskeletal care.
•	Work and collaborate with internal stakeholders (analytics, marketing, clinical operations, growth) to develop strategies and data science products to solve real world problems by optimizing member outcomes and engagement.
•	Work alongside data engineers and product managers to deploy designed and well-tested ML models into practice, helping design appropriate frameworks to test and monitor ongoing model performance (e.g. model drift, data drift) and evaluate true downstream impact on care and operations (beyond predictive performance)
•	Provide methodological, statistical, design and analytical guidance for new and ongoing operations and applied research projects.
•	Lead our team to implement health risk scoring that unlocks new commercial opportunities
•	Partner with business groups in the company to identify opportunities to deploy bespoke models that predict member engagement and create additional models to answer key questions about member behavior that drive product insights and improvements
•	Be a founding member of the Predictive Solutions team

About you:

•	Experience working with healthcare data especially ClaimsWorking knowledge of SQL as well as statistical packages (such as those in R or Python)
•	Minimum 2 years working on multiple projects involving large data sets, including training, testing, and deploying machine learning algorithms into cloud environments, and specific experience with deep learning required (e.g., RNNs, CNNs, etc). Prior experience translating data findings and data science concepts for lay audiences, including the production of presentations for senior-level audiences (excellent verbal and written communication skills) also required.
•	Advanced understanding of data science and statistical concepts, computer programming, and their applications to real-world data required. Specifically, strong programming proficiency (e.g., Python, TensorFlow, PyTorch, R, Spark, SQL). Prior experience with code repositories such as git or equivalent is also required.
•	Ability to challenge existing ideas and develop and champion new ones that add value to the organization. Ability to analyze problems, issues and opportunities systematically and logically to make decisions that support the mission, vision, values and goals of the organization
•	Understand the biases that data collection and sampling can introduce, and know how to design and implement methods that adjust for those biases when possible
•	Love to discover how things work through the lens of data, are not intimidated by “messy” data sets, and enjoy communicating your insights to broad audiences
•	Ability to communicate data science concepts to non-technical stakeholders
•	Experience architecting and building bespoke predictive models
•	Knowledge of healthcare (claims) data
•	Advanced degree in a related field (MS or PhD)

Why you should join our rocketship:

•	A stimulating, fast-paced environment with lots of room for creativity
•	A bright future at a promising high-tech startup company valued at over $2bn
•	Quarterly travel to HQ in Porto, Portugal (voted one of the best cities in Europe) Career development and growth with a competitive salary
•	Chance to make healthcare work better for the people who need it most
•	A flexible environment where you can control your hours (remotely) with unlimited vacationAccess to our health and well-being program (digital therapist sessions)Remote work policy (but chances to work in person at offices in NYC + Salt Lake City)

At Sword, we are proud to be an Equal Employment Opportunity employer.  We champion diversity and are committed to building a team that represents a variety of backgrounds, perspectives and skills.  At Sword, we believe that diversity and inclusion among our applicants and teammates is critical to our success as a global company.  The more inclusive we are, the better our work will be.

 Sword Benefits

Comprehensive health, dental and vision insurance
Equity Shares
401(k)
Unlimited Vacation
Paid Holidays
Flexible working hours
Work from home
Parental leave
Free Digital Therapist for your family

Sword is proud to be an Equal Employment Opportunity employer.  We champion diversity and are committed to building a team that represents a variety of backgrounds, perspectives and skills.  At SWORD, we believe that diversity and inclusion among our applicants and team members is critical to our success as a global company.  The more inclusive and diverse we are, the bigger our impact will be.


Senior Data Scientist

About the Data Science Team
We're looking for data scientists with deep expertise in machine learning, optimization,  building data products, and/or statistics. As part of a small product team you will have full ownership over your domain, so you should be a person who dreams big, then executes well.
At Thumbtack, the Data Science team is responsible for a wide variety of problems spanning machine learning, statistics, and computer science:

Characterize marketplace dynamics. Thumbtack’s marketplaces consist of thousands of active markets across our service categories and U.S. cities. Via exploratory data analysis and experimental design, our team works to understand trends and behaviors within these markets.

Improve customer and service provider matching. Matching and optimization algorithms are fundamental to Thumbtack’s product: we now service millions of matches per week. Identifying better matches between customers and service providers has an incredible impact on the experience of customers and professionals transacting on our platform.

Model complex relationships in the presence of many confounding factors. Predictive modeling problems are everywhere across our product. Our team works to scope, design and implement machine learning models to support Thumbtack’s product.

Challenge
Our team is at the forefront of a massive amount of user data. We need to think a lot about both scaling as well as how to provide experiences for a wide set of users that we don’t necessarily know a ton about immediately. We are building experiences into our apps to onboard, engage, and re-engage our users and are constantly experimenting to produce delightful and consistent user experiences.
Responsibilities

Design and execute experiments, collect and analyze data to characterize our product
Architect and deploy machine learning systems to production
Design and implement metrics that align with company goals
Analyze a wide variety of data: structured and unstructured, observational and experimental
Collaborate with engineering, marketing, and economists to use sound statistical practices.

Must-Have Qualifications
If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

M.S. or equivalent experience in Computer Science, Economics, Engineering, Math, Statistics, or other relevant technical field
Expert knowledge of machine learning techniques: regression and classification, clustering, neural networks, boosted decision trees, etc.
Ability to effectively read, write, and debug code in programming languages such as Python
Good knowledge of probability and statistics, including experimental design, optimization, and causal inference
Excellent written and verbal technical communication skills

Nice-to-Have Qualifications

Ph.D. in Computer Science, Economics, Engineering, Math, or Statistics
Expert knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference
Experience with large-scale distributed systems

Thumbtack is a virtual-first company, meaning you can live and work from any one of our approved locations across the United States, Ontario or the Philippines. When it is safe to gather, we will begin to host in-person events on a regular basis. Remote employees will be expected to travel occasionally for these events to a Thumbtack library or offsite team-building location. In cities with 5+ employees, we are establishing local communities, where employees can gather for local events. Additionally, employees in the San Francisco, Salt Lake City, Toronto and Manila areas will have opt-in access to communal workspace at one of our Thumbtack libraries. We always prioritize the health and safety of our employees. Currently, participation in these events and Thumbtack library use are optional. Both require employees to be fully vaccinated.
#LI-Remote


Staff Data Scientist Lonely Planet

As a Staff Data Scientist on the Red Ventures Travel team, you will create innovative solutions to solve business problems by using advanced machine learning, statistical modeling and optimization techniques and turning them into real world solutions for decision making online or offline. You will solve business critical problems inside a company that has a strong culture of measurement, testing, and optimization across all facets of its marketing and customer acquisition activities. You will see your contributions make a material impact to the business bottom line. This role specifically focuses on several highly visible travel brands including The Points Guy, Lonely Planet and Elsewhere. This position can be hybrid in Charlotte, NC, New York, NY, or can sit remotely for those in Eastern or Central time zones.
 What You'll Do:

Lead our site and mobile personalization model implementation.
Understand business strategy and identify innovative data science opportunities that can lead to significant business impact in a rapidly growing business
Set the strategy and drive the execution plan for large data science initiatives, projects and programs to drive the business into its next evolution
Bring relevant state-of-the-art data science technologies to the team and lead by example to establish best practices

What We're Looking For:

5+ years experience as a Data Scientist or PhD degree in STEM with specialization in machine learning, statistical modeling and optimization
Expert knowledge of machine learning, predictive modeling, statistics and data science in general. Knowledge and experience in marketing channel optimization, customer behavior/journey modeling and prediction, product recommendation systems, online testing is highly desired
Proficiency in one or multiple data science programming languages such as R, Python and Spark
Experience deploying end-to-end data science solutions and capable of engaging at all stages of the ML solution life cycle, from ideation to production.
Capability of communicating effectively with business and data science leaders on project status, timeline and technical results
Proficient at collecting and mining data from disparate data sources, and willing to dig deeper and understand the process that creates the data
Capable of translating business opportunities into data science problems and defining the right project scope and performance metric to measure success
Must be comfortable with unstructured, fast moving and constantly evolving high-growth environment
Applied experience with machine learning on large datasets

Compensation:

Cash Compensation Range: $150,000 - $220,000 *Note actual salary is based on geographic location, qualifications, and experience.

Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.

Health Insurance Coverage (medical, dental, and vision)
Life Insurance
Short and Long-Term Disability Insurance
Flexible Spending Accounts
Paid Time Off
Holiday Pay
401(k) with match
Employee Assistance Program
Paid Parental Bonding Benefit Program

Who We Are
Founded in 2000, Red Ventures is a portfolio of growing digital businesses that bring consumers and brands together through integrated e-commerce, strategic partnerships and many proprietary brands including Bankrate, AllConnect.com and Reviews.com. Headquartered south of Charlotte, NC, Red Ventures has over 3000 employees in offices across the US, as well as London and Sao Paulo. For more information, visit https://redventures.com and follow @RedVentures on social platforms.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com.

#LI-REMOTE
#LI-TL1
#LP


Director Data Science

What you’ll be responsible for:
As a Director, Data Science at Circle, you’ll work closely with the Business, Product, and Engineering to produce analysis, machine learning solutions, and scalable data practices. You’ll have the opportunity to significantly impact internal data consumption and decision making. We are a passionate team with a deeply analytical mindset, and your work will support us in our mission to be a world-class company driven by data.
What you'll work on:

Drive data science efforts, communicate cross-functionally, and be a subject matter expert
Create road maps and help prioritize data science work
Support the individual and career growth of team members to minimize attrition and maximize output
Partner with product and operations teams to identify and resolve analytical problems at scale in a variety of domains, including crypto ecosystem understanding, fraud detection, and risk management
Help your team ideate and execute on the right analysis, models, and stories
Become an expert on data sources and flows at Circle
Evangelize the power of data science to understand and improve our business and operations.

You will aspire to our four core values:

Multistakeholder - you have dedication and commitment to our customers, shareholders, employees and families and local communities.

Mindful - you seek to be respectful, an active listener and to pay attention to detail.

Driven by Excellence - you are driven by our mission and our passion for customer success which means you relentlessly pursue excellence, that you do not tolerate mediocrity and you work intensely to achieve your goals.

High Integrity - you seek open and honest communication, and you hold yourself to very high moral and ethical standards.  You reject manipulation, dishonesty and intolerance.

What you'll bring to Circle:

12+ years of industry experience working with and analyzing large data sets
5+ years of experience with technical leadership and people management
Knowledge of a scientific computing language (Python) and SQL
Theoretical and applied expertise in statistics, experimental design, and analysis
Strong communicator who can take complex ideas and methodologies, and simplify them for non-technical audiences
Ability to understand complex business problems and break down analytics projects into a structured approach
Track record of developing, managing, retaining data scientists individual contributors and managers
Experience managing remote teams

Additional Information:

This position is eligible for day-one PERM sponsorship for qualified candidates.


Data Scientist

What you’ll be responsible for:
As a Data Scientist, Analytics at Circle, you’ll work closely with product stakeholders and engineers to better understand our products and enable better decision making with data. Your job will include making sure teams are focused on the biggest opportunities, defining success metrics and goals, and communicating insights throughout the company. We are a passionate team with a deeply analytical mindset, and your work will support us in our mission to be a world-class company driven by data.
What you'll work on:

Own a domain end-to-end, understand the business problems, define and monitor key metrics, identify opportunities and drive conversations around where to invest engineering resources
Measure business performance, develop core metrics and create dashboards to track and understand them.
Identify data, metrics and analyses needs for business partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship.
Perform deep analyses and build models to understand customer behavior, and extract key insights that impact product decisions.
Perform analyses and build models to understand customer behavior, extracting key insights and communicating to stakeholders to impact product decisions
Communicate the state of business, experiments results and recommendations to a broad team and senior leadership
Data collection and analysis of blockchain activity to understand trading activity, incentives, and how USDC fits in to the broader crypto ecosystem

What you'll bring to Circle:

3+ years of industry experience working with and analyzing large data sets
Experience in data analyses using SQL and at least one programming language (e.g. R, Python)
Understanding of statistics and experience applying them to business problems
Experience planning and executing analytical projects
Be able to proactively manage prioritization of work and deliver work with great quality and influence the broader team in creating leverage.
Previous experience working with financial services data or crypto is a plus.
Experience with Looker, Tableau or other business intelligence platforms.
Domain experience in product, marketing, growth, or other business analytics, compliance, risk areas.
Experience manipulating large amounts of structured and unstructured data.

Additional Information:

This position is eligible for day-one PERM sponsorship for qualified candidates.


Senior Data Scientist

The Company

Fuzzy is a health and wellness pet company building for the pet parent. We’re changing the way pet parents think about caring for their pets, looking to empower the pet parent by putting caring for our pets on autopilot. At Fuzzy, we work every day to make veterinary care more accessible. Of the 200 million dogs and cats in the US, more than 100 million receive no veterinary care.
Through technology we’re creating a different type of relationship between vets and pet parents - one that is personal, empowering, and for the long haul.

The Role

The Fuzzy Data Science team partners with people across the company to drive the business forward with data. We’re looking for help understanding our data, making predictions to improve our product and customer experience, and optimizing our processes.
We collect data from a wide variety of sources, and our ideal candidate for this role will be someone with experience building successful models while being data-driven, curious, and a clear communicator.

Responsibilities:

Develop a thorough understanding of our data and interpret them as they relate to pet parent behavior, pet medical records, care delivery outcomes, and product development.
Build predictive models and optimization routines, with applications ranging from text recognition and classification, care recommendations, churn prediction, and optimizing internal processes.
Collaborate with other members of the Data Science & Data Engineering team on ways to approach problems, improve code, and share new techniquesWork with functional team leaders (in Product, Digital Health, Marketing, etc) to explain your analysis, findings, and recommendations.Find opportunities for improvement across the business and assist in decision-making across teams.

What We're Looking For:

4+ years of experience with predictive modeling, machine learning, and data scienceStrong eye for detailHigh degree of proficiency with one of Python or R
Proficiency with SQL
Bachelor’s Degree in a quantitative fieldComfortable writing and debugging production code

Nice To Haves:

Experience deploying predictive models in a cloud environment (we use AWS)Experience with batch and real-time compute models
Experience with BI and Analytics tools (we use Tableau and Amplitude)

We know that great work comes from great, and inclusive teams. At Fuzzy, we specifically look for individuals of varying strengths, skills, backgrounds, and ideas. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Fuzzyrs and individuals.

We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, veteran status, and any other status. Fuzzy is proud to be an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. If you have a disability or special need that requires accommodation, please let us know.


Data Scientist Tooling

About Zipline

Do you want to change the world? Zipline is on a mission to transform the way goods move. Our aim is to solve the world’s most urgent and complex access challenges by building, manufacturing and operating the first instant delivery and logistics system that serves all humans equally, wherever they are. From powering Rwanda’s national blood delivery network and Ghana’s COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart, to enabling healthcare providers to bring care directly to U.S. homes, we are transforming the way things move for businesses, governments and consumers. The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it. Through our technology that includes robotics and autonomy, we are decarbonizing delivery, decreasing road congestion, and reducing fossil fuel consumption and air pollution, while providing equitable access to billions of people and building a more resilient global supply chain.

Join Zipline and help us to make good on our promise to build an equitable and more resilient global supply chain for billions of people.

About You and The Role
Zipline is hiring a data scientist to support analysis of the vast amounts of data produced by our autonomous aircraft and various IoT devices. In this role, you’ll analyze data produced by these hardware devices, produce compelling visualizations, and enable others to do the same. The ideal candidate will be excited about developing high-quality code and user-friendly tools that help team members derive insights from our data. Your work will enable the entire organization to make more informed decisions, innovate faster, and serve our customers better.
What You'll Do

Carry out analysis on data produced by our hardware systems and create insightful visualizations to share your findings.
Create reusable reference notebooks and material that will be leveraged by several teams to carry out high-value analyses.
Drive essential improvements towards the user-friendliness and efficiency of our Python libraries for interfacing with hardware data.
Serve as an internal consultant on our data metrics definitions and actively steer efforts to raise code quality.
Partner with our data engineers to identify opportunities to simplify and speed up data analysis by making upgrades to our data pipelines and data formats.
Partner with upstream engineering teams to refine data logging patterns and resolve data quality issues.
Document and evangelize the value of our data tools to engineers and other cross-functional partners.
Spend time with your customers and use their feedback to create a roadmap that you’ll execute against.

What You'll Bring

Advanced proficiency with Python and libraries commonly used for data analysis, e.g., Pandas, Numpy, Scipy, and Matplotlib.
Adept at summarizing large datasets visually that make complex results understandable at a glance.
Strong understanding of descriptive statistics, probability, and statistical modeling.
Experience working with continuous integration and continuous deployment processes and tools.
Skilled at translating a general question or problem into clearly defined analysis and presenting actionable insights.
Adept at ruthlessly prioritizing critical analysis requests and balancing multiple high-value projects, deadlines, and stakeholders at once.
A desire to continuously improve your work and the work of others.
Experience listening to customers, identifying opportunities, and creating roadmaps and detailed project plans.
Enthusiasm to work closely with engineering teams and develop domain knowledge about hardware and software across the company.
Passion and excitement to serve as a technical mentor and thought leader.
Nice to haves:

Experience with Databricks or PySpark
Experience building interactive visualization suites

What Else You Need to Know

Location: This is a remote friendly role, but you do have the option to come into our South San Francisco office if you’re based in the Bay Area. If you are full-time remote, you must be able to travel to our headquarters in South San Francisco to work with stakeholders periodically (1-2 times per quarter, at most) and overlap working hours with both GMT and PST time zones.

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.

We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!


Senior Data Scientist Healthtech Algorithms

Who we are...
Pearl Health is restoring the independence and joy of practicing medicine for doctors in the United States. Our healthcare system has burdened our doctors with too much process, while removing them from what they do best: caring for those we love most. We launched Pearl Health because we believe primary care providers, armed with the proper tools and resources, can have an outsized impact in achieving high-quality, affordable healthcare. We foresee a shift to an increasingly value-based future where physicians and provider groups will participate in the value they create for the healthcare system and will increasingly require proper tooling, information systems, capital support, and technology to succeed in these models.
We are a team of physicians (Groups), practice-enablement experts (VillageMD, Steward, Stellar), technologists (athenahealth, TrialSpark, Flatiron Health) and health plan leaders (Oscar, Clover, Centivo) who believe that primary care providers (PCPs) are the key to America’s future health.  Today, we support over 100 providers in value-based Medicare models and are on track to substantially increase the Medicare population we will be responsible for managing with our physician partners for 2023 (+$300M of Medicare benchmark risk). Our investors include Andreessen Horowitz and AlleyCorp.
What we hope you can do...
We are seeking a brilliant Data Scientist with a track record of propelling business strategies through analytical insights and algorithmic systems.  Your work will be a core asset of our company, allowing us to more efficiently provide better care to our members and to create novel financial arrangements for each of our aligned physicians.  You should be a strategic and analytical thinker, an effective communicator, an expert in analytical and data infrastructure systems, comfortable working with actuaries on complicated risk analyses, and performing sophisticated modeling exercises independently.  We anticipate that AI, ML, and NLP will be central elements of our product, so you should have a deep familiarity with and passion for these technologies.
What a Data Scientist means to us...

Translate the company’s goals and vision into its strategy and operations by conducting sophisticated quantitative analyses while informing decisions about our infrastructure and approach
Help us change the future of work for doctors in America by applying state of the art technology solutions, including machine learning, natural language processing, and explicable AI - likely in partnership with key external partners.
Experience developing and deploying sophisticated algorithmic approaches to prioritizing patient care in a clinical setting (or comparably sophisticated spaces).
Support all business lines, including sales and business development, by enabling those teams to nimbly make data-driven decisions, balancing competing goals, and making difficult trade-offs when required.
Partner effectively with our Chief Product Officer and Chief Technology Officer toward best-in-class analytics systems to give our physician partners insight into their patient panels.
Support the technology needs of various departments by creating a data-literate ecosystem.

Who you are…

8+ years of experience in performing results-driven quantitative analysis in a collaborative environment.
Degree in statistics, applied math, computer science, engineering or a related field.
SQL expertise and strong foundation in at least one of the main data science programming languages. Python is our current primary language and is preferred.
A proven ability to conduct research and empower data-driven aspects of our product through a mix of internal resources and external vendors, especially in AI, ML and NLP domains.
Experience collaborating with data engineering teams to define needs for an ETL pipeline and familiarity with the most common ETL tools.
Thoughtful collaborator, able to manage multiple demanding stakeholders, assimilate complex information quickly, and scope work in a way that balances deep insight and fast turnaround.
Prior experience working with healthcare data in any part of the industry (payor, provider, pharmacy, etc.); familiarity with population health data is preferred but not essential

Our Values
We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Our definition of diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. We believe all of our colleague’s points of view are integral to our success, and that inclusion is everyone's responsibility and a cause of beautiful things.
We welcome candidates from all backgrounds and are committed to a fair hiring process free from discrimination and focused around problem solving, improvement, and mutual empowerment.
Remote Work and Covid-19
We are a remote-first company, with concentrations of team members at our NYC headquarters and in the Boston area.  While the world is in lockdown, we’re all working remotely, but hope to facilitate more in-person time as the Covid situation improves.  We expect a large part of our workforce to remain remote after the pandemic ends.

If a resume is submitted to any Pearl Health employee by a third party without a valid written and signed search agreement, it will become the property of Pearl Health and no fee will be paid, irrespective of whether the candidate is hired.

Compensation and Benefits
The expected base pay range for this position is between $140,000 and $170,000 per year. Base pay is one component of Pearl's total compensation package, which also includes access to healthcare benefits, a 401(k) plan and company match, possible equity options, and much more. Please visit our benefits page for more information: https://pearlhealth.com/our-benefits/
#LI-Remote


Senior Trust Safety Data Scientist

Rec Room is the best place to build and play games together. Chat, hang out, explore MILLIONS of rooms, or build something new to share with us all!
As the Data Scientist on Trust & Safety, you will help make Rec Room safe, inviting, and inclusive for people from all walks of life. We want everyone to play, socialize, and express themselves free from harassment and discrimination.
WHAT YOU'LL DO:

Lead our DS effort in identifying malicious actors who are trying to detract from that experience.
Research and define our core T&S KPIs to help us monitor our system.
Dive deep into the patterns of fake accounts and identify opportunities for stopping them.
Look into fraudulent financial transactions, build our ML models to identify bad actors, and integrate with our support and moderation teams to stop them.
Work closely with our operations team to develop tools to improve efficiency
Have the opportunity for broad impact across all facets of Rec Room.

WE ARE LOOKING FOR INDIVIDUALS WITH:

5+ years of analytics experience, with a proven track record of deriving insights that lead to product changes
2+ years in a fraud detection or integrity focused role within a consumer based app
Significant expertise in experimentation methodologies
Very strong knowledge of SQL
Experience with Python or R is a plus
Effective communicator with the ability to distill complex concepts into easily digestible insights
A Bachelor’s or Masters in Math, CS, or related field

COMPANY INFO TO KNOW:
Rec Room is the best place to build and play games together. Chat, hang out, explore MILLIONS of rooms, or build something new to share with us all! We are building first-party games and user-generated content tools that allow our players to make their own games and spaces, and to sell their creations across multiple platforms (mobile, console, VR).
We are offering full time Co-Ops & Internships to Graduate Students & Seniors who are interested in working in the Games Industry. These are paid internships where you will be embedded on a development team, with the goal of shipping features to Rec Room by the end of your Co-Op or Internship.
WINTER 2023: JANUARY - MAY
EXAMPLE RESPONSIBILITIES:

Build the tools that allow creators to sell wares via the in-game economy
Design and build creative tools that players use to collaboratively build within Rec Room
Proactively prototype new ideas and solutions
Use metrics to track feature performance and inform design decisions
Build robust systems and tools that can stand up to malicious actors
Contribute creatively to the game and economy design process
Work on a broad variety of features and systems cross collaboratively with other teams as needed

REQUIREMENTS

Bachelor’s degree in computer science or equivalent experience
Experience in games or a closely-related field (school projects or small/indie games are great)
Experience using and/or familiarity with Unity, Unreal, or a similar game engine
Fluency in C#
Excellent written and verbal communication skills
Ability to work in a fast-moving, ambiguous development environment.
A constant desire to learn, improve, and help others improve
To be eligible to participate in our internship/co-op program, you must be available for full-time work during our core hours (10:00am - 4:30pm Pacific Time).

BONUS POINTS

Strong interaction design & implementation skills
Experience with live services and rapid-deployment
Experience with metrics/telemetry
Experience with and passion for in-game economies
Experience with and passion for User Generated Content
Experience with and passion for design
Ability and interest in converting to full time at the end of the internship

Company Info to Know
The base pay range for this position is $138,750-231,250 per year; however, the base pay may vary depending on job-related knowledge, location, skills, and experience. Stock options and, in some cases, a sign-on bonus may be offered as part of the compensation package. We also offer a full slate of benefits, including flexible vacation, medical, dental vision, life and disability coverage, long-term care insurance, FSA, commuter benefits, a 401(k) plan with company match, and a parental leave program. We also offer some not-so-standard benefits, including equipment, family, and pet care stipends.
Rec Room provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.


Data Scientist

ABOUT BESTOW

Bestow is the leading digital platform for life insurance. As both a direct-to-consumer destination and an infrastructure provider, Bestow is on a mission to make life insurance accessible to millions of underserved families.

We strive for work-life balance and believe happy employees make for better experiences and happier customers.  It’s a model that helped us land on Forbes’ Best Startup Employers 2021 and 2022 lists!

Open to Dallas, Austin, or (US) Remote
#LI-Remote

Data Science at Bestow is a rapidly evolving team with a diverse set of problems to solve. We analyze and manipulate massive datasets, build algorithmic models to make predictions, and optimize decision-making by reinforcing choices with data.   At Bestow you will be working on all aspects of the data science pipeline from project requirements to production deployment. We use cutting-edge machine learning and data warehouse technologies to create a cohesive environment for experimentation and analysis. In addition to the standard suite of analysis tools involved in data science projects, you will be engineering and developing infrastructure and code to facilitate everything from training models to serving those models in production and integrating your products with those of other teams. Communicating results effectively to both technical and non-technical audiences is a skill all of our data scientists must possess as we work closely with the entire organization.

Challenges On Which You Can Expect to Work:  At Bestow we leverage data to build the best customer experience in the term life insurance industry. You will work on building attribution, propensity, and response models to gain deep knowledge and comprehensive understanding of the customer and work with the marketing teams to run better targeting, funnel optimization, and audience selection experiments to finally drive towards automation of campaigns. As a leader in the digital life insurance space Bestow is driving innovations around the way risk and pricing are currently modeled in the industry. You will be working alongside the underwriting and actuarial teams on cutting-edge work building an underwriting engine driven by Machine Learning. This will require out-of-the-box thinking around using new data sources available to us including health data to create new ways of modeling mortality, eligibility, and pricing.

Data Science and Machine Learning Infrastructure  Developing and optimizing our Data Science environment is a powerful way for us to enable our team to work efficiently. This also helps us integrate well with other teams by having a secure and standardized way to work and gives us a basis on which to discuss our problems and solutions. We currently use Kubeflow and its associated components. We leverage Google BigQuery as our data warehouse. We use Jupyter notebooks and Python code to compose sophisticated machine learning pipelines and experiments. Collaborate across teams to identify project requirements and metrics; Work closely with Data Engineering team who perform data analysis and cleaning using a host of ETL tools; Train and tweak machine learning models to make predictions; Use statistical evaluation techniques to refine models over time based on performance metrics; Production engineering - after a model is developed, we see it through to production; Communicate with the organization by interpreting models and results for non-technical audiences

Analytics  We work closely with analytics teams to enable them to do their work effectively as well as refine their insights into predictive analytics through machine learning. This involves acquiring knowledge and insight from various domains and refining it into high-level motivation for decisions within the organization or models to increase our products’ efficacy. Our Data Science team follows agile methodology as all our other engineering teams.

About You:

3+ years of data science experience
Experience with marketing work (propensity models, attribution models, response models, audience selection, and retargeting)
Programming and Statistics/Mathematics experience
Professional experience with a variety of machine learning algorithms
You like building and evaluating experiments under statistical rigor
Solid Python 3 and Software Engineering principles
Experience with notebook and analytical environments (Jupyter, R)
Clear, concise written and verbal communication
Desire and willingness to learn
Display initiative and autonomy as well as cross-team collaboration

It would be great if you had:

Experience with Kubernetes Cluster Orchestration & Management Framework
Experience deploying models into production and managing uptime and performance
Experience in creating software products like APIs and  web applications

Total Rewards:

Generous compensation package
Stock options
Flexible schedule and work/life balance
100% company-paid health, dental, and vision insurance
Choose your computer setup (13” or 16” MacBook Pro)
Team building events and activities

We value diversity at Bestow. We hire, recruit, and promote without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, pregnancy or maternity, veteran status, or any other status protected by applicable law. We understand the importance of creating a safe and comfortable work environment and encourage individualism and authenticity in every member of our team.


Senior Data Scientist

Social Finance Inc. seeks Senior Data Scientist in San Francisco, CA:
Job Duties: Work with business unit leaders and product teams to identify businessopportunities, measure KPIs to craft compelling stories, make data-driven recommendations,and drive informed action. Own end-to-end product analytics workflow including formulatingsuccess metrics, socializing them across the organization, and creating dashboards/reports.Design, analyze, and interpret the results of experiments that could optimize productperformance. Work cross functional with engineering, product teams, and data architects toensure data is being captured and reports are accurate. Act as a curator of data by defining,instrumenting, and tracking necessary analytics of our product. Build self-service systems toenable others in the organization to leverage your work. Leverage in-house, external and otheropen-source machine learning software/algorithms. Research and apply superior data andmethodology for the models. Perform ongoing monitoring of the models through constructionof dashboards and KPI tracking. Telecommuting Permitted.
Minimum Requirements: Bachelor's degree in Computer Science, Mathematics, Statistics,Physics, Engineering, or related quantitative field plus two (2) years of experience in relatedoccupations.
Special Skill Requirements: Requires 2 years of experience with: Business analytics, KPIdashboard development, business performance analysis; Designing and building predictivemodels using statistical and machine learning techniques (e.g. logistic regression, linearregression, random forest, neural networks, gradient boosting); Proficiency with SQL, R, Python,Tableau; Strong stakeholder management skill. Telecommuting Permitted.
Submit resume with references to: Req.# 21-12153(CP) at: ATTN: Rae Myles, rmyles@sofi.org.


Senior Data Scientist

BOULEVARD | ABOUT US
Boulevard was founded with the fundamental belief that personal care should be convenient for all. Our mission is to maximize the potential for salons and spas, as well as the clients they serve.

Developed in collaboration with industry-leading owners and operators, our scheduling, point of sale, and conversation platform was carefully designed to drive revenue, automate workflows, and convert customers from visitors into valuable, long-term clients. By facilitating a better, personalized experience across every transaction and interaction, Boulevard’s technology not only helps salons and spas to survive but thrive. Take a look at how we (and YOU) can make that happen.

INSPIRE INNOVATION
We are diligent about solving hard problems and are not afraid to challenge conventions or question the status quo. If our ambitions aren't terrifying, we aren't pushing ourselves enough.

We have an insatiable curiosity and embrace experimentation. We believe that simple solutions require the most sophistication and we design each and every detail to maximize potential, power, and impact. Do our values match? Read through our story and what we value the most.

Come do the best work of your life at Boulevard
As Boulevard evolves, understanding data patterns across our platform becomes both more challenging and more valuable. This is a critical position that will help us further understand our various customer segments. You’ll see the bigger data roadmap and work within our data analytics team to develop statistical and machine learning models to deliver business insights and improve our customer experience.

What you’ll do here:

• Work with the latest technologies to develop and optimize advanced statistical and machine learning models to inform business strategy and improve customer experience

• Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Boulevard partners, service providers, and clients interact with each other and with our platform

• Influence product and leadership teams through presentation of data-based recommendations, and clearly communicating state of business, experiment results, etc

• Monitor key business metrics, understanding root causes of changes

What you’ll need to thrive:

• Education/Experience: Bachelors/Masters Degree preferred with 4+ years of experience working within an analytical role

• AWS/Modeling: Strong experience in various machine learning and statistical modeling techniques, ideally on AWS

• Technical Languages: Strong SQL skills and proficient in a statistically focussed programming language, preferably Python

• Analytical: Solve analytical problems using quantitative approaches and various modeling techniques across the company

• Communication: Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product

• Timely: Able to prioritize and meet deadlines

• BONUS POINTS A quantitatively focused education (Statistics, Economics, Computer Science, etc.) | Prior experience at a start-up or growth-stage company

Within 1 month you’ll…

• Graduate from Boulevard’s platform training course Connect with and understand how each department and key stakeholders across the company leverage data

• Understand and document the current data landscape

• Learn the core business objectives and company KPIs

• Develop and deliver your first model/data insights

Within 2 months you’ll…

• Prioritize our highest opportunities for data modeling with the greater analytics team

• Enable new data insights by combining your models with existing analytical processes

• Begin to field requests for analysis and models, prioritizing requests from leadership with the analytics team

After 3 months you’ll...

• Take ownership over our models and implement quality assessment and tuning goals

• Actively participate in interviews and be a key contributor in the growth of the data team

• Evolve our data science strategy alongside business objectives

• Showcase to the engineering team and company your contributions and enhancements to our data capabilities

BENEFITS

In addition to the wonderful people, you’ll get to work with (meet some of them here!) and challenging projects that’ll push you - Boulevard is here to make sure you’re always at the top of your game emotionally, mentally, and physically.

Take a break whenever you need to with our flexible vacation day policy.

Fully remote so you can choose where you want to work.

Health is a priority, so we’ve got you covered with dental, medical, vision, and life insurance.

Investing in the future with a 401(k) matching option.

Work from home stipend every month.

Family planning resources and specialized support programs.

Boulevard Bucks Learning & Development program allows employees to explore businesses in the market we serve.

Equity: get ahead on the ground floor and grow with Boulevard.

NOT CONVINCED?

Hear what Leo, one of our architects, says about life at Boulevard.

Read through what our customers are saying about our product.

Check out our latest product release and how we’re continuously working to improve.

Our team values and celebrates our diverse backgrounds. Being open about who we are and what we do allows us to do the best work of our lives. We believe in equal opportunity for all, and you should too.

Boulevard Labs, Inc. is an Equal Opportunity Employer committed to hiring a diverse workforce and sustaining an inclusive culture. All employment decisions at Boulevard Labs, Inc. are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.


Data Scientist

We are looking for problem solvers with mastery in analytics, statistics and machine learning to join the fully remote Data Science team at Varsity Tutors. This team partners with product and engineering to discover insights and develop algorithmic solutions that support personalization at scale.
The qualified Data Scientist will hold an advanced quantitative degree with experience building forecasting systems, recommender models, or ranking algorithms. The candidate is expected to be comfortable developing prototypes that can be productized by engineering to develop real-time systems. Candidates must be comfortable with pushing through ambiguity and passionate about solving problems at scale and with speed.
About Nerdy:
Nerdy (NYSE: NRDY), the parent company of Varsity Tutors, is a leading platform for live online learning, with a mission to transform the way people learn through technology. The Company’s purpose-built proprietary platform leverages technology, including AI, to connect learners of all ages to experts, delivering superior value on both sides of the network. Nerdy’s comprehensive learning destination provides learning experiences across 3,000+ subjects and multiple formats—including one-on-one instruction, small group classes, large format group classes, and adaptive self-study. Nerdy’s flagship business, Varsity Tutors, is one of the nation’s largest platforms for live online tutoring and classes. Its solutions are available directly to students and consumers, as well as through schools and other institutions. Learn more about Nerdy at https://www.nerdy.com/. The company publicly listed on the New York Stock Exchange on September 21, 2021.
Qualifications:

M.S. degree in a quantitative discipline (e.g. Mathematics, Statistics, Machine Learning, Econometrics).
3+ years of professional data science experience
Applied skills in the areas of statistical inference, probability, machine learning (unsupervised and supervised).
Previous experience with production models, i.e. post-deployment responsibility
Ability to develop ML or statistical analyses software in R or Python
Experience with building recommender systems and implementation with a breadth of matching algorithms is a plus.
Experience with Bayesian reasoning, Natural Language Processing, classification, ranking systems is a plus.
Relentlessly curious and strong bias for action.
Great communication skills

Responsibilities:

Develop algorithmic systems to enable personalization for our consultative sales organization.
Partner with operations and engineering to identify impactful problems, and turn business goals into objective functions.
Design experiments to rapidly establish causal relationships.
Drive initiatives from conception to production with measurable impact to the business.
Define creative services to thorny problems using mathematical algorithms

Varsity Tutors Leadership Principles
Relentless Focus on Customers * Comfort with Ambiguity * Ownership * Simplify * Intellectual Curiosity * Build Teams * Think Big * Insist on High Standards * Bias for Action * Build Trust * Go Deep * Have Conviction * Deliver Results * Are Right, a Lot
Benefits/Culture:

Competitive Salary plus Equity in the company
Healthcare Plans (Medical, Dental, Vision, Life)
401k Company Plan
Remote Position, fully work from home (or wherever you like!)
Flexible PTO plus a floating holiday
Paid VTO ("volunteer time off" to do community service/charity work)
52 hours of Free Learning Sessions per year for you or immediate families members and free access to our online classes
Once in a lifetime opportunity to help revolutionize how the world learns!
Fun, collaborative, and team-oriented work environment with plenty of training and a feedback-rich culture

Varsity Tutors is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. (INDHP)


Data Scientist Consumer Marketing Analytics

Reddit is looking for an enthusiastic and motivated individual to help us understand the value of our paid marketing efforts around the world. While Reddit has experienced very strong organic growth throughout its history, as we expand into new markets, marketing is a key growth lever. This role will work with Reddit’s consumer marketing team to analyze the effectiveness of marketing programs and user behavior that will improve marketing decision making. This role is responsible for making sure marketing spend data is accessible and accurate for data analysis, analyzing the value of customers acquired through marketing channels, and influencing marketing decisions through scenario development and modeling. This role will play a pivotal role in helping execute our global growth strategy leveraging paid media channels.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities

Improve and maintain marketing data accessibility
Develop dashboards to analyze marketing spend performance
Analyze the behavior of customers acquired through paid marketing channels
Develop lifetime value models to estimate the value of users acquired through paid marketing
Conduct in-depth post-campaign analysis to help the team understand performance and opportunities for improvement
Work closely with cross-functional teams such as product and finance to model, analyze and influence the impact of multiple scenarios

Requirements

2+ years of experience in data analysis and reporting focused on consumer product usage patterns
Understanding of the core Reddit experience and passion for Reddit
Strong analytical skills, comfortable with data analysis and statistics
Ability to work with cross-functional teams and partners to
High attention to detail with ability to manage multiple projects simultaneously
Intellectually curious with demonstrated ability of performing thorough data analysis
Proficient using SQL & Python
Knowledge of visualization tools such as Tableau/Looker/Mode a plus


Senior Data Scientist Frontend Platform Analytics

The Clients Platform organization at Reddit is focused on bringing a modern, performant, high quality and cohesive experience to Reddit’s iOS, Android and web frontend platforms.
As a Data Scientist in the Clients Platform org, you will partner with cross functional teams to ensure data is a key part of our decision making process and power the stories we share org-wide about our user’s attributes and actions, including where you’ve discovered interesting opportunities. Ultimately, your work analyzing user trends, identifying behavioral insights, and showcasing the results to directly impact the product roadmap will help to shape the future of Reddit’s front end platforms.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities:

Partner with senior leaders in Product to define the right vision for how Reddit should be thinking and talking about the core user experience based on how users actually interact with the site
Leverage analytics to understand key user journeys to inform decisions about the future of the product
Develop and maintain KPIs related to the user experience, performance, and quality, and monitor how they change with updates/new releases by creating custom automated reporting (e.g. dashboards)
Analyze and interpret metrics resulting from A/B tests, and contextualize the results for cross-functional stakeholders across Product, Design, Research, and Leadership teams
Build and own data analysis products and analytical processes (ETLs, data collection and aggregation, experiment measurement) to support with the activities described above
Lead and/or partner with other PMs and DS on time-sensitive investigation into metrics variation for platforms within the Clients Platform ownership

What We Can Expect From You:

2+ years of experience in analytics roles, including communicating insights to stakeholders
Bachelor’s degree or above in a STEM major
Proficiency in SQL required, additional experience with python or R preferred
Experience with dashboarding tools and data visualization (e.g. Tableau, Mode, PowerBI, Looker, etc)
Familiarity with experimentation and causal inference analyses
Consumer product, consumer goods, or e-commerce experience preferred but not required


Applied Scientist

We’re Coinbase. We’re the world’s most trusted way to join the crypto revolution, serving more than 89 million accounts in more than 100 countries.
Our mission is to increase economic freedom around the world, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web 3.0 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world.
Ready to #LiveCrypto? Who you are:
You’ve got positive energy. You’re optimistic about the future and determined to get there.
You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0.
You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.
You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.
You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.
You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone.
Coinbase has built the world's leading compliant cryptocurrency platform serving over 30 million accounts in more than 100 countries. With multiple successful products, and our vocal advocacy for blockchain technology, we have played a major part in mainstream awareness and adoption of cryptocurrency. We are proud to offer an entire suite of products that are helping build the cryptoeconomy, and increase economic freedom around the world.
At Coinbase, our vision is to build an open financial system for the world, and to get there we’ll need to continually learn from our data. Data scientists are focused on this critical step of converting data into learning.
You’ll spend part of your time collaborating closely with business partners in product, engineering, finance and marketing teams to ensure we are focused on the biggest opportunities and interpreting our data correctly. And you’ll spend the other part of your time with the Data team building analytics models and systems that help scale our insights more broadly, both throughout the company and directly in the product. We expect you to demonstrate clear communication, strong desire to execute and best-in-class craftsmanship.
Team Overview
Bring applied scientific approach to crypto space. Build scientific models to enable crypto based open financial systems. Stay at the forefront of crypto innovation such defi, NFT, L2, etc.
Read more about our values and culture here.
What you’ll be doing:
Defi/NFT protocol scientific research. Stay at the forefront of crypto innovation and conduct deep data driven scientific research of defi protocols such decentralized exchange, defi borrow/lend, yield aggregation, insurance etc
Leverage statistical and machine learning models to on-chain and off-chain data to drive insights and products
Build model and scalable data-driven API and services to drive both internal and external use cases
Publish rigorous data and model driven crypto scientific research and contribute to the broad crypto ecosystem
What we look for in you:
Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution
Masters or Phd degree in a scientific field (Computer Science/Math/Statistics, etc.)
Ability to express real-world problems in quantitative terms and determine the appropriate approaches to use to tackle the problems
Understanding of advanced statistical and machine learning techniques and apply appropriate ML model (eg deep learning vs logistic regression) to the problem at hand
Proficient in at least one programming language (e.g. Python, Golang, Java, C++ or like)
Experience in applying these technologies in end to end production settings: Apache Airflow, Spark, Kafka/Kinesis, Snowflake etc
Nice to haves:
Financial service industry experience building scientific models a plus
Passionate about or willing to dive deep into crypto innovation
Experience with solidity or web3
Sounds Cool? Let's work together.
Notice for Colorado applicants as required by sb19-085 (8-5-20). Target annual salary for this role performed in Colorado is either $140,250 or $175,100 + target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
*The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates.
ID=G1894
Please note that for employees based in the US, Philippines, Canada or Singapore, if your role requires you to be present in a Coinbase office or if you choose to be physically present in a Coinbase office or sponsored location, participate in any in-person gathering (including offsites) or engage in business travel sponsored by Coinbase, you will be required to be fully vaccinated (as defined by applicable law).  If you receive an offer, you will receive additional information about the grounds and process for an exemption.
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.  For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links.  Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations[at]coinbase.com and let us know the nature of your request and your contact information.  For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).
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Nlp Data Scientist

Marigold Health is looking for an NLP¬†Data Scientist¬†to¬†develop novel NLP that can¬†better serve patients.¬†You will be pivotal to researching,¬†building¬†and testing¬†the¬†ML and NLP infrastructure¬†within¬†all parts of our¬†organization. This work is perfect for someone with a few years of data science background who is excited to join our small, distributed team and¬†make a significant impact¬†on how¬†we use¬†data science. You‚Äôll work with the executive team¬†on a daily basis¬†to enable data-driven decision making. If you‚Äôre excited about how technology can be used to support people through mental health and substance abuse treatment, we want to hear from you.¬†¬†¬†

About Marigold¬†¬†

Marigold Health exists to give every person with a mental health or substance use condition a place to feel heard.‚ÄĮ¬†We have designed an asynchronous-first treatment program where patients support each other. We believe peers, individuals in recovery themselves who have received training to support others, can empower and engage those least likely to interact with current forms of care.¬†¬†¬†

What You'll Do

Setup¬†data processing and annotation pipelines¬†¬†
Implement and A/B test NLP models that run on patient and provider messages¬†
Build features that enable providers to see explanations for model results¬†¬†
Work with engineers to make the backend ML infrastructure scalable¬†
Work with the product team to finalize and execute on the roadmap¬†
Assist Clinical Ops decisions with insights extracted from data¬†¬†
Contribute to Marigold‚Äôs federal research grants¬†

Reporting,¬†Schedule¬†and Location:¬†This is a FT opportunity reporting directly to our¬†Chief¬†Data Scientist. Most team members work virtually from home and are located on the east coast and internationally.¬†You can work remotely from anywhere in United States but should expect to be available during east coast hours and occasionally travel to the company‚Äôs office in Boston, where our HQ is located, as COVID-19 restrictions ease. Travel costs will be covered by the company. We¬†also have an office in¬†Delaware.¬†¬†

Your Skills

3-5 years of data science experience, including 1-3 years in industry and at least 2 years of NLP experience
Strong experience with the Python data science stack: Pandas, scikit-learn,¬†spaCy,¬†PyTorch,¬†etc.¬†¬†

Preferred¬†¬†
Background in Linguistics and/or Statistics¬†¬†
Technical writing capabilities¬†¬†
Prior experience with healthcare datasets¬†¬†
Prior experience with data visualization¬†¬†¬†

Who You Are

Motivated by our mission to empower every patient with a mental health condition with their own voice and agency¬†¬†¬†¬†¬†
Proactive in self-directing work to areas of high impact¬†¬†¬†¬†
Methodical and organized despite an unstructured environment¬†¬†¬†¬†¬†
Motivated by complex problems¬†¬†

Why You'll Love This Role

Be directly involved with saving lives by deploying a first-of-its-kind treatment model¬†¬†¬†¬†
Have a scalable impact as we expand nationally, using our technology to expand Marigold‚Äôs reach¬†¬†¬†¬†¬†
Contribute to and gain expertise from a diverse, interdisciplinary team that includes clinicians, data scientists, and peer workers

Compensation, Benefits and Culture

The base salary range for this role is $125-150K, depending on experience. In addition, as part of our founding team, this role will include ownership equity.¬†¬†
Comprehensive healthcare coverage, including fully covered premiums for individuals (with the option to cover dependents for a cost) and a dedicated mental health benefit¬†¬†¬†
4 weeks of PTO¬†¬†¬†
Computer and equipment provided¬†¬†¬†
Company¬†travel¬†budget and professional development budget¬†¬†

Interview Process

After you submit your application, it will be reviewed by the hiring manager and select members of the team. If it seems like we‚Äôre a good fit for each other, we will follow up and schedule a¬†15-30 minute¬†phone call with one of our leaders to get to know you.¬†¬†
If we jointly decide to move forward, you can plan to (virtually) attend a¬†45 video¬†interview with the Chief Product Officer. The final stage would be to meet (2-4) other members of the team via video conference for additional conversations about your approach to collaboration, your relevant experience to current projects, and alignment with our values. All in, you can expect the time¬†commitment for this stage to be 3-4 hours of synchronous interaction, scheduled to fit your needs.¬†¬†
If¬†you¬†complete interviews, we will provide a decision or clear next step within five business days.¬†¬†
We are ready to hire as soon as we find the right candidate. We can‚Äôt wait to meet you!¬†¬†

More About Marigold
Marigold Health is‚ÄĮan early-stage, rapidly growing startup‚ÄĮproviding services for‚ÄĮa range of community based mental health and substance use treatment providers as well as national health insurers.‚ÄĮ‚ÄĮWe collaborate‚ÄĮwith leading investigators at Brown University and Johns Hopkins and have been publicly recognized by the National Institute on Drug Abuse‚ÄĮ(NIDA) and the American Psychiatric Association.‚ÄĮ‚ÄĮ¬†¬†¬†
Our program is a combination of 1-1 coaching and 24/7 anonymous chat support groups accessed over phone, SMS, and app/web. On the backend, proprietary natural language processing tools scale our peer workforce by augmenting group moderation, automating patient outreach, and sending sentiment-based ‚Äúalerts‚ÄĚ to coordinate care with other providers. Following strong results from our first clinical studies, we are entering a period of rapid growth, and expect to expand from 2 states today to 12 by this time next year.¬†¬†
Our core values are‚ÄĮauthenticity,‚ÄĮcandor, and‚ÄĮambition. Inclusion¬†is at the core of what we do. We‚Äôre working to bring care to the most underserved and stigmatized patients. We actively welcome applicants from a wealth of different backgrounds (including but not limited to race, gender, educational background, and sexual orientation). We must have diversity on our team and in our mindsets to be successful in moving the needle on the deeply entrenched and systematic challenges we face.¬†¬†¬†¬†¬†
¬†
Marigold Health is an equal opportunity employer.¬†¬†¬†
Questions? Email Satya[at]¬†marigoldhealth.com¬†for more info.¬†¬†¬†


Sr Machine Learning Scientist

Overjet is on a mission to improve oral healthcare for all.
Our cutting-edge artificial intelligence technology encodes dentist-level training and analysis into scalable software tools. Today, our flagship products are used by some of the country’s largest insurance companies, dental support organizations, and dental practices to enable the best patient care.

All of this is made possible by the industry leading AI technology built by our Machine Learning (ML) team. We’re looking for a Sr Machine Learning Scientist to join us in our journey to build impactful and bleeding edge Dental AI and research. The ideal team member has a winning mix of creative energy, scientific innovation, and a practical mindset that is focused on building technology that is valuable to Overjet customers.
.

You will

Develop algorithms and methods for disease detection, classification, and characterization from x-rays

Rapidly build proof-of concept prototypes and show what is possible with our products

Focus on scalability and productionalization of the models

Provide input and set boundary constraints for the machine learning infrastructure needed to scale our products

Listen to the go-to-market team and ensure we are building product that fits demonstrated market needs

You are

Results oriented - you want to see your work impact the customer

Ingenuous  - you can cleverly set up MVPs that work on the critical KPIs

Endlessly curious  - in an earlier life you annoyed your family with one word: “Why”

An experimentalist who learns by doing - You don’t abstractly wonder what is possible; rather, you rapidly test ideas and learn and iterate from feedback mechanisms

You have experience in

Prototyping computer vision models (CNNs in particular) - you have built both low and high fidelity concepts

Productionalizing CNNs - You don’t stop at the prototype.  You find it equally stimulating to mature the prototype at scale

PhD or MS in Computer Vision, Machine Learning or related technical fields
Knowledge of applied mathematics and numerical optimization


Machine Learning Scientist

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
With a sufficient timezone overlap with the team, we’re able to hire eligible candidates for this role from any location in Australia and/or New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further.
In this role, you'll get to:
Develop machine learning algorithms to predict customer lifetime value and drive business applications using these predictionsConstruct and refine AI algorithms to optimise our marketing and onboarding funnelsEmploy behavioural data and insights to intelligently customize the user journey, boost engagement and purchase rates and increase our number of active usersWork with our seriously large volume of analytics data to understand insightful trends and behavioursCraft machine learning and predictive models to drive intelligent product features
On your first day, we'll expect you to have:
 Bachelor or higher degree (or equivalent) in a quantitative subject (statistics, mathematics, computer science, engineering or physics)Industry experience in the data science or machine learning domainDevelopment experience in a programming language, Python is strongly preferredExpertise in SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)Experience developing, building and scaling machine learning models in business applications using large amounts of data. Previous experience in customer lifetime value, churn and propensity modelling is highly regardedAbility to communicate and explain data science and machine learning concepts to diverse audiences and craft a compelling storyFocus on business practicality and the 80/20 rule; very high bar for output quality but recognise the business benefit of “having something now” vs “perfection sometime in the future”Agile development approach, appreciating the benefit of review, constant iteration and improvement within a collaborative team environment
It's great, but not required, if you have:
Experience working in an enterprise or B2B space for a SaaS product provider, as well as the consumer or B2C spaceFamiliarity working with go-to-market (GTM), Strategy, Product and Growth teamsKnowledge of advanced machine learning and deep learning methods applied to digital user behavioursKnowledge of A/B experimentation


Senior Data Scientist Customer Analytics

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
With a sufficient timezone overlap with the team, we’re able to hire eligible candidates for this role from any location in Australia and New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further.
Does the challenge of scaling a fast-growing company by empowering it with data and analytical insight excite you? Using your business instincts, analytics mastery and creativity, you will support a market-leading product, from analysis through to action. If you love finding patterns amidst chaos, making quick decisions, and aren’t afraid of being wrong, this could be a great fit!
You have a proven track record of delivering analyses leading to product or business strategy insights. You develop strong and trusted relationships with product executives and use your communication skills to change the way your partners approach problems, and influence product roadmaps. You are passionate driving your learning and growth in a dynamic, fast-paced environment.
In this role, you will have a business critical mission that will impact every aspect of our organisation. You will often use imperfect data to influence strategic company decisions under tight timelines. This is a role that will stretch you, accelerate your learning curve and give you the chance to really leave your mark in the history of Atlassian.
On your first day, we'd expect you to have:
Strong sense of accountability, self-drive, and the ability to function independentlyExtensive experience in analytics, statistics or closely related fieldsProficiency in SQL and expertise in Python / R strong intuition for crafting raw data and analysis into well-written and persuasive contentThe ability to prioritise your time wisely against multiple competing projects and requestsExperience translating insights into decisions and actions that have a direct business impact
It's great, but not required, if you have:
Experience in both enterprise (or B2B) as well as consumer (or B2C) environmentsTrack record of presenting at meet-ups and conferencesMS, MBA or PhD degree in a relevant topic


Senior Data Scientist Point A Marketing

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Do you have a passion for examining complex data and turning it into useful information and insights? Do you love finding the next big ‘aha’ insight which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the world's hottest SaaS company?
Atlassian is looking for Sr. Data Scientist to join our Marketing Analytics team supporting Atlassian’s new products under Point A. We’re seeking someone with strong business instincts and analytics mastery, who is passionate about applying these skills to drive smarter data decisions and ultimately, delight our customers. You'll be responsible for building success reporting from the ground up for Atlassian’s next generation of teamwork tools. You’ll do this by partnering with the ‘CMO’ of each new product to understand the business to define KPIs and develop data-driven insights and recommendations. Atlassian is a fast-paced, growth-oriented work environment and there are plentiful chances to create impact in this role.
In this role you'll get to:
Act as the analytics partner to product and product marketing teamsDevelop comprehensive program and product views of Point A go-to-market performance by defining user journeys, forecasting and measuring product performance, and making strategic recommendations for improvementDesign and implement reporting dashboards to track performance trends across Point A products and provide measurable insights to both executive leadership and marketing teams
On the first day, we'll expect you to have:
You have a bachelor or higher degree in a quantitative field (e.g. mathematics, computer science, economics), or equivalent experienceYou have demonstrated experience applying analytics skills to drive projects which have had proven impact to strategic decisionsYou have a strong ability to communicate and can explain complex concepts to diverse audiences and crafting compelling storiesYou use excellent judgment and sharp business instincts to prioritize competing asksYou have experience leveraging data to set KPI targets, forecast performance, and measure success.You have familiarity with a broad set of topics and disciplines within marketing analytics (e.g. campaign attribution/effectiveness, web tracking, customer lifecycle marketing)You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented codeYou are proficient in at least one visualization & business intelligence platform (e.g. Tableau, Looker, Mode)
It's great, but not required, if you have:
Experience working in a global environment with remote teamsExperience with scripting and analysis languages (Python, R)Experience with GitExperience with providing analytics support for multi-channel campaignsExperience with statistics and probability in a business setting