Data Scientist

Hi, we're Oscar. We’re hiring Data Scientists to join our team.
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
About the role:
Oscar is restructuring health care to make it easy, affordable, and seamless for consumers to access high value care. Oscar’s data team is focused on pushing our understanding of this complex landscape. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. At Oscar, we are looking for bright and curious data minded individuals to join our team of 30+ researchers, data scientists, and analysts to leverage our efforts!
We are looking for several new Data team members to join us on a few of our workstreams. By applying to this posting, you will be considered for a top-priority open position within the Data team; a specific role and manager will be determined during the hiring process based on the highest priority need.
You will report into a data science leader (Associate Director or above). This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Connecticut, Florida, Georgia, Illinois, Maryland, Massachusetts, Michigan, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, or Washington. Note, this list of states is subject to change. #LI-Remote
Responsibilities:
As a Data Scientist at Oscar you will:
Create strong partnerships with internal teams at Oscar to build out and leverage key data science insights that directly impact our members
Discover, understand, and organize disparate data sources and structure them into clean data models that unlock self-service analytics for internal teams
Work with stakeholders to evaluate existing programs and drive improvements through data-driven methods, as well as support the development of data-driven hypotheses
Use statistics and machine learning to explain and predict key aspects of our business
Your specific responsibilities will be determined by the particular role.
Requirements:
You have 2+ years of relevant work experience or a Master’s degree in a quantitative field; we encourage you to apply if you have more experience as well as we are hiring for multiple levels of Data Scientists within the team
You use data science tools like SQL and Python
You’re excited about being (or becoming) a decision-maker, not just an analyst
You know when to look outside the data to solve problems
Bonus points:
Knowledge of or previous work experience in health care, health economics, or health insurance
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
Life at Oscar:
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.
We aim to make health care affordable and accessible for all, and apply this same vision to our perks and benefits, including: medical benefits, generous paid-time off, paid parental leave, retirement plans, company social events, stocked kitchens, wellness programs, and volunteer opportunities.
Pay Transparency Policy:
Oscar ensures that you won't be discharged or discriminated against based on whether you've inquired about, discussed, or disclosed your pay. Read the full policy here.
Reasonable Accommodation:
Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.
To protect the health and safety of our employees, we require any employee conducting in-person work* to be fully vaccinated against COVID-19 by their start date. If you are unable to be vaccinated due to medical or protected religious reasons, please reach out to our Benefits team at accommodations@hioscar.com to submit an accommodations request.
*Note: In-person work includes: employees required to work from our offices, employees conducting sales work in the field and employees conducting at-home or in-person visits with members.


Lead Data Scientist

At MNTN, we’ve built a culture based on quality, trust, ambition, and accountability – but most importantly, we really enjoy working here. We pride ourselves on our self-service platform and are constantly seeking to improve the user experience for our customers and scale for efficiency. Our startup spirit powers our growth mindset and supports our teammates as they build the future of ConnectedTV. We’re looking for people who naturally want to do more, own more, and make an impact in their careers – and we’re seeking someone to be part of our next stage of growth.
As a Lead Data Scientist on our Performance team, you will guide the analysis, methodologies, prototypes and evolution of our performance system. You will lead other data scientists, data engineers, and machine learning experts as well as collaborate with Product Owners, Data Analysts, Software Engineers and other stakeholders to create and iterate on various data intensive products.
What You’ll Do:

Become the end to end expert on attributing impact of advertisements in an ambiguous and privacy-focused ecosphere.
Identify business opportunities and gaps in data insights for both internal and external stakeholders.
Lead discussions with other technical and non-technical functions.
Propose, implement, and evaluate mechanisms to connect event data across a variety of platforms.
Utilize a variety of mathematical techniques and communicate them to others.
Investigate critical incidents and provide insights to data ambiguity.
Communicate findings and knowledge to others including vice president and c-suite stakeholders.

What You’ll Bring:

6+ years of experience related to experimentation, A/B testing, causal analysis, machine learning, look-alike modeling, ranking or equivalent. Advanced degrees in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or similar may be substituted for some years of experience.
Experience in SQL, Python, Jupyter Notebooks, R, or similar languages and a history of technical mentoring.
Hands-on experience working with NoSQL, Spark, Hive, BigQuery, Databricks, Snowflake, or similar technologies.
Written and verbal communication skills to convey complex technical topics to a variety of audiences.

MNTN Perks

100% remote
Open-ended vacation policy with an annual vacation allowance
Three-day weekend every month of the year
Competitive compensation
100% healthcare coverage
401k plan
Flexible Spending Account (FSA) for dependent, medical, and dental care
Access to coaching, therapy, and professional development

About MNTN:
MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. MNTN Performance TV has redefined what it means to advertise on television, transforming Connected TV into a direct-response, performance marketing channel. Our web retargeting has been leveraged by thousands of top brands for over a decade, driving billions of dollars in revenue.
Our solutions give advertisers total transparency and complete control over their campaigns – all with the fastest go-live in the industry. As a result, thousands of top brands have partnered with MNTN, including, Petsmart, Build with Ferguson Master, Simplisafe, Yieldstreet and National University.
#Li-Remote


Data Scientist

This position can be based in San Francisco or Remote.

Butter is the payments stack for the modern subscription economy. We're building an inclusive remote-first culture that enables our employees to contribute from anywhere in the world. We believe that anyone can have an impact so we want you to join our team to modernize subscription payments.

TLDR:
You will predict (probabilistically estimate) the future to drive value for our customers.

Problem TLDR:
Our customers rely on us to help them recapture lost revenue and drive insights into their payments data.

Problem Expanded:
You will help us uncover what we don't know and should be looking at, propose new areas for us to analyze and model. We'll also look to you to suggest new products we should consider offering customers. You'll ensure we have clean and accurate data for both reporting and modeling purposes.

Scope:
You will build models, data pipelines, and business critical reports to power the product and our business.

Requirements:
Bachelors or Masters Degree in an Analytical field
3+ years of experience delivering value through data
Python
SQL  - Intermediate level and up

Optional:
You think this description of random forests reads like poetry.

Philosophies:
You strongly believe that action creates information.
You want to work on a small team and have lots of responsibility.
You look forward to being scrappy and enjoy overcoming challenges.

We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.

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About Butter
Modern subscription companies accidentally lose up to 4% of their total customer base each year due to churn caused by legitimate payments failing (passive churn). These payments fail either because they are falsely detected as fraud or because of archaic systems in an aging payment ecosystem.

Butter uses patented machine learning and artificial intelligence to deeply understand the real time state for any given payment and then optimizes for success. Butter offers a free assessment and trial to validate a customer’s found revenue opportunity, integrates with existing payment processors, and charges an ongoing success fee tied to revenue recovered.

Butter typically recovers up to $1M or more of found revenue for our customers and gives 1% back to causes that support our mission of enabling anyone anywhere to have access to the things they deserve and need.

Butter is well funded by leading investors and offers a competitive benefits package including unlimited PTO, 401k, and comprehensive health insurance. The salary range for this position is $112,000 - $234,800.

We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.
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Butter Payments is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Butter considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.

Please review our CCPA policies here.


Data Scientist

At MissionWired, we help clients create revolutionary digital strategies that advance their mission, change our country, and have a positive impact on the world.

We’re digital-obsessed, tech-savvy do-gooders who care deeply about social change. We’ve brought digital strategies to life for nonprofit organizations working around the world, including Save the Children, Sandy Hook Promise, and Friends of the Earth, as well as progressive political organizations, campaigns and candidates. Each cycle is an opportunity for us to support organizations across the country while expanding the Democratic majority in the Senate.

We’re an equal-opportunity employer and take seriously our commitment to equality and equity. Our efforts to be inclusive and create opportunity don’t end when someone joins us – they begin.

We’ve set our sights on changing the world through our work and with our clients, and representation is at the foundation of what we do. We know that diversity of thought and background makes us stronger. That’s why we’re committed to building and maintaining a diverse community.

Every new team member broadens our perspective and allows us to think bigger. We’ll be at our best when people from underrepresented communities and people with a range of perspectives and lived experiences want to come, stay, and push the boundaries of what’s possible.

Overview: We are looking for a mid-level data scientist to join our team of data scientists and engineers in applying machine learning to online fundraising through our AdvantageAI product. You’ll be bringing state-of-the-art machine learning tools to the biggest database of its kind in the industry to support our mission-driven clients. Over the last few years alone, we’ve invented and honed an approach to digital cultivation that boosts response rates by 600%, and our data scientists are the brains behind The Digital Co-Op, the highest-quality acquisition platform in the online fundraising space.

You’ll join a team that is deeply devoted to inclusion, particularly in the following three areas:

Process: We create a context in which everyone is empowered to contribute.

Data-Driven: We are committed to using the power of data to support important causes.

Philanthropy: We empower diverse groups of individuals to participate in giving.

With us, you’ll put your skills to use for innovation that powers social good. We want your ideas and your leadership. Join us. Let’s go.

You will be responsible for:

Joining each and every one of your colleagues in creating an inclusive workspace;
Thinking deeply about using data in creative ways to address client needs;
Designing experiments to test advancements in modeling client data;
Developing and enhancing the core models that power the AdvantageAI platform, supporting digital donor acquisition and UX optimization.

Must-have qualifications:

1-2 years of professional experience in designing and implementing machine learning solutions to business problems;
A passion for statistical methodology, including an ability to unpack the assumptions and interpretations of various approaches, an openness and critical eye to the latest techniques, and a willingness to lead collaborations to find optimal solutions;
Experience with Python;
Attention to detail;
Intellectual curiosity to innovate on ways to solve data management issues.

Nice-to-have qualifications:

Working knowledge of Pandas, PySpark, machine learning libraries;
Familiarity with big data tools using AWS or other cloud services;
Experience developing machine learning models;
Experience with the product ideation process, such as in a research environment;
Experience working with cross-functional teams in a dynamic environment.

Salary range for this role is $75,000 to $90,000 per year, depending on experience.

Benefits
-100% employer-paid premiums for platinum-level medical plan on a national health care network
-100% employer-paid life insurance and short term disability
-50% employer-paid vision and dental insurance
-401(k) with 3% employer contribution
-17 vacation days in addition to 12 paid holidays, sick days, bereavement leave, and a volunteer day off.
-Paid parental leave at 100% of your salary
-Financial support for reproductive and transgender care
-Flexible telecommute and remote work policies
-Company issued Mac products for home offices
-Cell phone service reimbursement, meal and ride-share reimbursement, and other perks available

If you feel you can do the job and are excited about this opportunity but are not sure if you meet all the qualifications, consider applying anyway. We’d love to hear from you!


Senior Data Scientist Point Of Sales Ecosystem

Company Description
Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.
Job Description
The XPOS team at Square is focused on building an ecosystem of point-of-sale (POS) apps that feels cohesive to sellers, regardless of where they start. As a member of the XPOS data science team, you will play a critical role in enhancing our understanding of the XPOS app ecosystem and using data to drive decision-making throughout the product development lifecycle. You will report to the XPOS DS lead, and partner with product, engineering, marketing and other cross-functional stakeholders to help lead the effort to define metrics to track progress against organizational goals, develop solutions to personalize product experiences, and provide insights and drive strategic decisions with data.
You will:
Partner directly with the XPOS product team to identify opportunities for using data to drive business outcomes and guide product development decisionsApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insightsCoordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data scienceCommunicate analysis and decisions to high-level partners and executives in verbal, visual, and written mediaContinuously improve data quality and accessibility, and work with data engineering teams to optimize data pipelines and storageDevelop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Qualifications
You have:
4+ years of analytics and data science experience or equivalentExperience leading cross-functional projects and partnering with Product/Engineering/Marketing/Design on strategy and prioritization;Strong experience in data analysis, statistical modeling, and machine learning, with a focus on applying these skills to solve business problems.Familiarity with data engineering best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)
Nice to have:
M.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working on product & platform initiatives focused on measuring platform success
Additional Information
US and Canada EEOC Statement
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Scientist Invoices

Company Description
Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.
Job Description
Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby allowing us to build a remarkable product experience. As a member of the team, you will use engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and bringing our products to market. With support from the Invoices Data Science Lead, you will lead experimentation & growth plans, develop solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data.
You will:
Partner directly with the Invoices product team to make data-driven decisions across the organization by applying descriptive and predictive analytics where it will have a material impactApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insightsCoordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data scienceCommunicate analysis and decisions to high-level partners and executives in verbal, visual, and written mediaLead the data strategy of embedded product engineering, to help make well-informed architecture and design decisions that affect data at SquareDevelop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Qualifications
You have:
4+ years of analytics and data science experience or equivalentExperience building relationships to influence product partners with dataExperience leading cross-functional projects that depend on the contributions of others in multiple disciplinesExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)
Nice to have:
M.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working on business and product initiatives focused on growth and retentionFamiliarity with Marketing analytics and experimentation
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $152,100 - USD $185,900
Zone B: USD $144,500 - USD $176,700
Zone C: USD $136,900 - USD $167,300
Zone D: USD $129,300 - USD $158,100
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
US and Canada EEOC Statement
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Senior Data Scientist Pricing Models

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

We’re looking for an exceptional Data Scientist to join the pricing team for our real-time bidder team, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique data science challenges. The bidder uses a variety of batch and real-time signals to power decision making in real-time.
Impact you will make:

Apply, develop, optimize, and benchmark ML approaches to push our AI-driven product forward
Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
Collaborate closely with Product, Data, and Engineering teams to launch new pricing and conversion ML models

Who you are:

BS degree in Statistics, Math, Machine Learning or Computer Science
5+ years of practical experience in data science or machine learning roles
Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation
Demonstrated experience with Python for ML workflows
Exposure to different machine learning and modeling techniques, including deep learning and traditional modeling techniques
Experience in improving performance of queries and workflows for model training

The following experience would be a plus:

Hands-on with deep learning in production pipelines
Ad tech and/or mobile space

Perks:

Comprehensive medical, dental and vision insurance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use

More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.

This is a fully remote role that may be based anywhere in the United States. The pay range for this position in California at the start of employment is expected to be between $125,000 and $218,000 per year.  For applicants based in Colorado at the start of employment is expected to be between $85,000 and $183,000 per year. For applicants based in New York City and New Jersey at the start of employment is expected to be between $120,000 and $205,000 per year.
However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
The pay range for this position for applicants based in Washington at the start of employment is expected to be between $115,000 and $210,000 per year.  However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.   Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan, in addition to a full range of medical, dental, vision, and basic life insurance. Employees will also receive 13 paid holidays per calendar year, unlimited discretionary time off, and will receive 10 sick days per calendar year.  Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.


Senior Data Scientist Automation

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

Now we’re looking for an exceptional Data Scientist to join a new team focused on the development of our real-time bidder, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique engineering challenges. In addition, the bidder requires use of machine learning models that are trained in batch and then used to power decision making in real-time.
Impact you will make:

Design and test predictive models, optimization algorithms, and control systems at large scale that control real money and target specific financial goals
Build and enhance production systems in Python by writing well-structured, flexible, and tested code
Proactively identify opportunities for optimization, and own the scoping and implementation of solutions
Apply theory (bidding strategy for first-price auctions, exploration/exploitation tradeoff, budget pacing approaches) to large streaming data
Explore and develop expertise with cutting-edge methods for streaming data and realtime control
Propose and engineer new model features from our continuously growing and diversifying stores of data
Collaborate closely with Business, Product, Data, and Engineering teams to co-own the rollout of new product offerings
Develop and refine best practices for data processing, experimentation, monitoring, debugging, and analyzing data pipelines

Who you are:

BS degree in Engineering, Statistics, Math, Economics, Machine Learning or Computer Science
3 to 5 years of practical experience in a Data Science or Machine Learning role, and sound understanding of Data Science and Machine Learning principles
Experience with continuously-deployed and frequently-retrained production ML models or ETL pipelines for large and/or fast data
Track record of problem-scoping and problem-solving on visible business initiatives
Experience writing, reviewing, and deploying production code as part of a team
Natural inclination to write well-structured and flexible code
Comfort with audience-appropriate communication (to business stakeholders, engineers, data scientists)
Strong data visualization and manipulation skills: you are able to distill a clear picture from disparate data sources reflecting a complex business
Python expertise for scripting and model prototyping; proficient with SQL

The following experience would be a plus:

 Ad tech or mobile game industry

Perks:

Comprehensive medical, dental and vision insurance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use

More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.

This is a fully remote role that may be based anywhere in the United States. The pay range for this position in California at the start of employment is expected to be between $125,000 and $218,000 per year.  For applicants based in Colorado at the start of employment is expected to be between $85,000 and $183,000 per year. For applicants based in New York City and New Jersey at the start of employment is expected to be between $120,000 and $205,000 per year.
However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
The pay range for this position for applicants based in Washington at the start of employment is expected to be between $115,000 and $210,000 per year.  However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.   Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan, in addition to a full range of medical, dental, vision, and basic life insurance. Employees will also receive 13 paid holidays per calendar year, unlimited discretionary time off, and will receive 10 sick days per calendar year.  Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.


Data Scientist

Role Description
We're looking for a Data Scientist to partner with revenue, marketing, and product teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.
Responsibilities

Develop a deep understanding of customer journey phases and key business metrics
Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes

Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.

Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
Understand what matters most and prioritize ruthlessly

Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting

Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction

Significant experience with SQL and large unstructured datasets such as Hadoop

Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees

Solid background in running multivariate experiments to optimize a product or revenue flow
Strong verbal and written communication skills

Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus


Staff Data Scientist Advanced Analytics

We are looking for a skilled and experienced Senior Data Scientist to join our team! We are a fast-growing SaaS company that’s already achieved unicorn status specializing in automating security and compliance. As the Senior Data Scientist, you will be a key member in the data team, working closely with business stakeholders to unlock growth opportunities with advanced analytics and data science initiatives! If you like to roll up your sleeves and make an immediate impact, and be a high-visibility contributor within the organization, this role might be for you!
What you’ll do:

Develop and implement data-driven strategies to improve customer experience, increase engagement, reduce churn, and drive growth.
Collaborate with cross-functional teams to identify and implement data science initiatives that align with business goals, and communicate insights and recommendations to stakeholders in a clear and actionable way
Lead the development of machine learning models that enhance the company’s data analytics capabilities, and optimize business operations and improve efficiency for various functions.
Mentor and train team members on best practices, tools and techniques for data analysis and modeling.

What you’ll bring:

At least 5 years of experience with a solid background in data science or a related field, with a track record of developing and implementing advanced analytics strategies.
Strong programming skills in Python/R and SQL
Experience with data visualization tools such as Tableau, Power BI, Sigma, etc.
Strong problem solving skills and ability to work with large, complex datasets, and extensive knowledge of using statistical modeling and machine learning algorithms to develop predictive models and insights.
Excellent communication and collaboration skills
Be comfortable working in a fast-paced startup environment and adjust approaches to meet evolving business needs with feedback.

Benefits:

Health & Wellness: 100% coverage for medical, dental, and vision plans - for employee and dependents + on demand health care concierge
HSA, FSA, & DCFSA: Pre-tax savings plans for healthcare and dependent care
100% paid short and long term disability plus life + AD&D benefits
Learning & Development: $500 annually towards professional development opportunities + $250 annually towards personal development opportunities
Flexible Time Off: Flexible vacation policy for strong, fully charged batteries
16 Weeks Paid Parental Leave: An inclusive policy to ensure you have time with your newborn, newly adopted, or foster child
Work Remotely: Flexible hours and work from home + $1,000 annually to cover necessary business related items for your home office
Charitable Giving Program: Up to $500 match for qualified charities
401K: Reach your financial goals while reducing your taxes

This role will receive a competitive base salary, benefits, and equity. The applicable salary range for each US-based role is based on where the employee works and is aligned to one of 3 tiers based on the cost of labor for that geographic area. The expected salary ranges for this role are set forth below.
Tier 1: $161,500 - $199,500
Tier 2: $145,350 - $179,550
Tier 3: $129,200 - $159,600
You can view which tier applies to where you plan to work here. A variety of factors are considered when determining someone’s leveling and compensation–including a candidate’s professional background and experience. These ranges may be modified in the future and final offer amounts may vary from the amounts listed above.
Please continue to apply if you are unsure that you fit into our compensation structure.


Data Science Summer Intern Undergrad

It's fun to work in a company where people truly BELIEVE in what they're doing!We're committed to bringing passion and customer focus to the business.The RoleDo you have a passion for applying analytical reasoning to real-world problems? Do you have a strong mathematical background and understand statistics fundamentals? Are you fascinated by cybersecurity and want to prevent highly sophisticated attacks? If so, Proofpoint is looking for a bright and enthusiastic Data Science intern like you to join the Security Analytics, Intelligence & Learning (SAIL) team.  The SAIL applied research team is responsible for converting data into business value through machine learning detection systems and data-driven decision making. We are a team of Data Scientists and Software Engineers who love keeping up with the latest ML research, creating a creative and supportive workplace environment, and hosting the occasional board game/trivia event. We work closely with product, engineering, and threat research teams to significantly differentiate our product offerings and delight our customers.   As a Data Science Intern on the SAIL team, you will advance business goals with forward looking research. You will work closely with Data Scientists to implement individual projects and learn the day-to-day responsibilities of professional Data Scientists.  You will own a summer long deliverable and drive progress with support from your mentor and other SAIL team members. Past projects have included implementing clustering systems, improving metrics calculation systems, and enhancing core detection logic.   Job Requirements
Proficiency with Python 3
Proficiency with at least one SQL dialect and CRUD operations
Basic understanding of machine learning methodology and workflow
Basic understanding of machine learning algorithms
Strong problem solving skills
Experience with statistical tests
Experience with classification problems  o A desire to learn new skills
Candidate ProfileYou have the ability and interest in working full time (a maximum of 40 hours/week) in our Sunnyvale office or remotely. You are currently pursuing an undergraduate degree and are successfully maintaining an above average GPA. This summer internship is scheduled to run for 11 weeks from June - August 2023..If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!


Senior Data Scientist Privacy

Senior Data Scientist – Privacy (remote)
Dearborn, MI, United States

(Remote)
Trending
Job Description
Are you passionate about data and data privacy?
We are seeking top-tier full-stack Data Science professionals to help to protect customer data from our connected vehicles, through privacy enhancing technologies, analytics, modeling and data strategy.
This role is available to be #remote.
Responsibilities
What you’ll be able to do:
Privacy enhancing technology: Embed these technologies into our connected vehicle data ecosystem to protect customer data privacy while maintaining data utility for connected vehicle experiences.
Influence data strategy: Develop technology solutions and data products that enhance our data ecosystem to be future-proof and agile to policy changes.
Modeling and analytics: Apply statistical modeling methods to assess opportunities and gaps, automate processes and establish measurement in Privacy related areas to support business directions.
Proof-of-concept: Develop end-to-end working proof-of-concept to demonstrate feasibility and validate methodology to stakeholders.
Provide technical leadership: Help to grow a team of data scientists and analysts through project leadership such as technical coaching, mentorship and establish team wide best practices
Qualifications
The minimum requirements we seek:
Master's degree in Computer Science, Mathematics, Statistics, Physics, Electrical Engineering or related field or a combination of education and equivalent experience.
5+ years of experience of statistical methods and their accurate application e.g., ANOVA, principal component analysis, correspondence analysis, k-means cluster analysis, factor analysis, multi-variate analysis, neural networks, etc.
5+ years of experience with Python, SQL, Cloud (preferably GCP).
2+ years of experience working in a multi-functional, agile product team environment/analytic delivery team.
Our Preferred Requirements:
Experience in privacy enhancing technologies in one or more of differential privacy, secure enclave, federated learning, cryptography and so on.
2+ years of experience with executive presentation preparation and delivery.
Expertise in data science technologies such as Python R, Spark, Hadoop, etc. and cloud platform, such as GCP.
Ability to work under stress, establish priorities and respond with urgency.
Highly credible in organizational, time management, decision making and problem-solving skills.
Familiarity working with Automotive OEM/ Ford connected vehicle data & relevant infrastructure.
Familiarity working with big data to develop scalable, production-ready solutions.
What you will receive in return:

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
Vehicle discount program for employees and family members, and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here.
Visa sponsorship is available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
At Ford, the health and safety of our employees is our top priority. Vaccination has been proven to play a critical role in combating COVID-19. As a result, Ford has made the decision to require U.S. salaried employees to be fully vaccinated against COVID-19, unless employees require an accommodation for religious or medical reasons. Being fully vaccinated means that an individual is at least two weeks past their final dose of an authorized COVID-19 vaccine regimen. As a condition of employment, newly hired employees will be required to provide proof of their COVID-19 vaccination or an approved medical or religious exemption.
Apply Now
Job Info

    Job Identification
9175

    Posting Date
02/28/2023, 03:09 PM

    Degree Level
Bachelor's Degree or equivalent

    Locations

            Dearborn, MI, United States

    (Remote)

    Remote
Yes

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Actuarial Data Scientist

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
Design, develop, and document advanced data analytic models in support of healthcare industry actuarial product and consulting initiatives Lead the discovery and development of new methods and models using a broad range of data modeling and analysis techniques Build machine learning models for predictive analytics while assuring fairness and equity Provide recommendations and guidance to project leads based on insights gleaned from data Build modeling pipelines to automate the running of analytic models Collaborate and communicate effectively with our broader product teams, while supporting ad-hoc analytics where needed Active role in training, coaching and mentoring staff within methodology and in other functions
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
Bachelor’s degree in Computer Science or equivalent experience 4+ years of data analytics experience, or 3 years of such experience plus an advanced (Masters, PhD) degree in a relevant field Experience deploying code in a production environment using Github Advanced proficiency in Python, Scala, or SQL Proven solid written and verbal communication skills and experience interacting with senior management Proven solid leadership skills and demonstrated ability to lead product initiatives in order to achieve team goals and outcomes  Proven well versed working in Agile methodology / Kanban (End to End managing the user stories within the sprint)
Preferred Requirements:
Masters or PhD degree in Statistics, Data Science, Computer Science, Mathematics, or a related field ASA or FSA actuarial designation, or progress towards completion of ASA designation Experience with the Snowflake platform and enterprise-level applications Experience deploying data science models in a production setting Experience working on large scale, multiple team projects Automate test cases for development experience Unix Scripting experience Experience and/or exposure in dealing with health care claims experience (i.e. understanding of costs, expected claims, diagnosis codes, procedure codes) Experience working with Data Science/Machine Learning libraries such as h2o, TensorFlow, caret, Keras, scikit-learn, etc. Experience building robust data pipelines using a variety of data sources, programming languages, and toolsets Hands-on experience in one or more big data ecosystem products/languages such as Spark Experience in applying optimization procedures (gradient, genetic, ant colony) to a large data set Acquired knowledge of healthcare pricing of groups sized 51+  Advanced proficiency in PySpark using Azure Cloud Advanced proficiency in model presentations using Tableau / Power BI Proven track record of delivering robust and scalable analytical applications in a cloud environment
Careers with Optum. Our objective is to make health care simpler and more effective for everyone. With our hands at work across all aspects of health, you can play a role in creating a healthier world, one insight, one connection and one person at a time. We bring together some of the greatest minds and ideas to take health care to its fullest potential, promoting health equity and accessibility. Work with diverse, engaged and high-performing teams to help solve important challenges.
California, Colorado, Connecticut, Nevada, New York, Rhode Island, or Washington Residents Only: The salary range for California, Colorado, Connecticut, Nevada, New York, Rhode Island or Washington residents is $85,000 to $167,300. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives.
*All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.


Healthcare Data Scientist

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
Optum Infusion Services is seeking a Healthcare Data Scientist with extensive experience in predictive modeling, statistical modeling, and machine learning. This role will lead Optum Infusion’s data science projects and be responsible for developing and implementing advanced analytical solutions to improve patient outcomes, optimize infusion operations, and identify growth opportunities.
You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
Develop and lead the implementation of predictive models using advanced statistical modeling, machine learning, and deep learning techniques to improve patient outcomes, operations, and organizational growth Collaborate with cross-functional teams, including clinicians, researchers, and business stakeholders, to design and deliver data-driven solutions that address complex infusion therapy challenges Lead the development of innovative machine learning algorithms that solve complex problems in the infusion industry, including natural language processing and deep learning models Oversee the data science team’s data preparation, cleansing, and feature engineering activities to ensure data quality and relevance for predictive modeling activities Evaluate models’ performance, identify improvement areas, and lead efforts to optimize model accuracy and effectiveness Stay up-to-date with the latest advances in predictive modeling, statistical modeling, and machine learning techniques and recommend and implement new approaches to address evolving infusion therapy challenges Ensure that data governance, privacy, and security policies and regulations are followed throughout the data science process
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
Master’s degree in Computer Science, Data Science, Statistics, or a related field 7+ years of experience in predictive modeling, statistical modeling, and machine learning in a healthcare-related field Experience leading data science teams, including the ability to mentor and develop junior data scientists Proven experience developing and implementing predictive models using advanced analytical techniques such as logistic regression, random forest, neural networks, and deep learning Experience with healthcare or pharmacy industry regulations, policies, and best practices Expertise in machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch Solid programming skills in Python, R, or similar languages Proven excellent communication skills, with the ability to present complex technical concepts to non-technical stakeholders Demonstrated robust problem-solving skills, with the ability to identify and solve complex problems using advanced analytical techniques
Preferred Qualification:
A Ph.D. in Computer Science, Data Science, Statistics, or a related field
Careers with Optum. Our objective is to make health care simpler and more effective for everyone. With our hands at work across all aspects of health, you can play a role in creating a healthier world, one insight, one connection and one person at a time. We bring together some of the greatest minds and ideas to take health care to its fullest potential, promoting health equity and accessibility. Work with diverse, engaged and high-performing teams to help solve important challenges.
California, Colorado, Connecticut, Nevada, New York, Rhode Island, or Washington Residents Only: The salary range for California, Colorado, Connecticut, Nevada, New York, Rhode Island or Washington residents is $85,000 to $167,300. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives.
*All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission.
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Principal Data Scientist Member Experience

At Devoted Health, we’re on a mission to dramatically improve the health and well-being of older Americans by caring for every person like family. That’s why we’re gathering smart, diverse, and big-hearted people to create a new kind of all-in-one healthcare company — one that combines compassion, health insurance, clinical care, service, and technology - to deliver a complete and integrated healthcare solution that delivers high quality care that everyone would want for someone they love. Founded in 2017, we've grown fast and now serve members across the United States.  And we've just started. So join us on this mission!Job DescriptionWhy Devoted:Make a difference... a big difference. You will have the opportunity, in a unique and dynamic culture, to be a part of something incredibly meaningful. We’re a disruptive startup with an inspiring mission. Learn and grow alongside our world-class team of healthcare, technology, and data leaders, dedicated to building a health plan and clinical services that care for everyone like they were our own mothers or fathers. Our team and board members have decades of experience in health care entrepreneurship, data, technology, services, and policy. With their support, we look forward to building a health plan and clinical services that will give seniors easy access to the high-quality care they deserve.A bit about this role:The Principal Data Scientist will serve as a crucial partner to our Member-focused teams, using data to answer important questions about the effectiveness of these teams and the impact of their communication on members. This individual will build robust data pipelines that underpin our products and operations; and foster a data-driven culture by using their technical expertise to identify opportunities to improve key outcomes and operational efficiency. This individual will report into our Data Science team, and will work alongside Product Managers, Software Engineers, and Business Leads to solve key challenges for the company.In this role, you will power the insights that enable several business teams to intelligently engage with our members, and to ensure we’re living up to our mission of caring for them like family. You will become an expert in all things related to our members’ experience and  drive key initiatives. This is a high profile role that is critical to Devoted Health’s success and will involve exciting data initiatives such as forecasting and experimental design.Healthcare experience or previous experience driving Data Science initiatives is a PLUS.Responsibilities will include:
Working closely with key business stakeholders to meet the analytical needs of the business, and providing insight in a rapid, iterative, and collaborative process
Developing thoughtful reports and dashboards that help operations teams improve their business decision-making
Identifying patterns in the analyses you conduct, and using those patterns to improve the speed and accuracy of our processes
Communicating results to an audience of mixed technical backgrounds
Required skills and experience:
Ability to work in a fast-paced startup environment
7+ years of individual technical contributor experience
4+ years of working on Data Science initiatives for a member-focused team
Experience collaborating effectively with stakeholders
Advanced SQL skills
Experience with Python or R
Equally comfortable building dashboards and reports for KPIs, and doing deep-dive statistical analysis; such as predictive modeling and experimental design to influence the business
 #LI-BC1#LI-RemoteSalary range: $161,000 - $180,000 per yearOur Total Rewards package includes:
Employer sponsored health, dental and vision plan with low or no premium
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And more....
The salary and/or hourly range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining a team member's base salary and/or rate, several factors may be considered as applicable (e.g., location, specialty, years of relevant experience, education, credentials, budget and internal equity).Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.


Staff Data Scientist Utilization Management

At Devoted Health, we’re on a mission to dramatically improve the health and well-being of older Americans by caring for every person like family. That’s why we’re gathering smart, diverse, and big-hearted people to create a new kind of all-in-one healthcare company — one that combines compassion, health insurance, clinical care, service, and technology - to deliver a complete and integrated healthcare solution that delivers high quality care that everyone would want for someone they love. Founded in 2017, we've grown fast and now serve members across the United States.  And we've just started. So join us on this mission!Job DescriptionWhy Devoted:Make a difference... a big difference. You will have the opportunity, in a unique and dynamic culture, to be a part of something incredibly meaningful. We’re a disruptive startup with an inspiring mission. Learn and grow alongside our world-class team of healthcare, technology, and data leaders, dedicated to building a health plan and clinical services that care for everyone like they were our own mothers or fathers. Our team and board members have decades of experience in health care entrepreneurship, data, technology, services, and policy. With their support, we look forward to building a health plan and clinical services that will give seniors easy access to the high-quality care they deserve.A bit about this role:The Staff Data Scientist will serve as a crucial partner to the Utilization Management business area, using data to help the operations teams achieve excellence in operations. This individual will build robust data pipelines that underpin our products and operations. They will foster a data-driven culture by using their technical expertise to identify opportunities to improve key outcomes and operational efficiency. This individual will report into our Data Science team, and will work alongside Product Managers, Software Engineers, and Business Leads to solve key challenges for the company. This is a high profile role that is critical to Devoted Health’s success.In this role, you will become an expert in utilization management operations data and build pipelines that improve accuracy of key utilization metrics that drive our business. You will serve as a key advisor on critical utilization and medical management trends and patterns that help to power all areas of our business including Provider Performance, Stars, Clinical, and Medical Economics. You will support the organization in measuring the impact and effectiveness of utilization management programs and partner with the team to scale critical workflows as we grow. You will support the team on improving data capture to enable the utilization management team and provider partners to better care for our members. Critical to our success, you will partner with compliance ensuring the data that is generated from the workflows is compliant with our CMS guidelines and you will identify opportunities within the workflow to improve the operation.Experience with utilization management or medical economics is a PLUS. Responsibilities will include:
Working closely with key business stakeholders to meet the analytical needs of the business, and providing insight in a rapid, iterative, and collaborative process
Developing thoughtful reports and dashboards that help operations teams improve their business decision-making
Identifying patterns in the analyses you conduct, and using those patterns to improve the speed and accuracy of our processes
Communicating results to an audience of mixed technical backgrounds
Required skills and experience:
Ability to work in a fast-paced startup environment
5+ years of individual technical contributor experience
3+ years of working on Data Science initiatives in clinical or medical economics
Experience collaborating effectively with stakeholders
Advanced SQL skills
Experience with Python or R
Equally comfortable building dashboards and reports for KPIs, and doing deep-dive statistical analysis; such as predictive modeling and experimental design to influence the business
#LI-BC1#LI-RemoteSalary range: $130,000 - $156,000 per yearOur Total Rewards package includes:
Employer sponsored health, dental and vision plan with low or no premium
Generous paid time off
$100 monthly mobile or internet stipend
Stock options for all employees
Bonus or commission eligibility for all roles
Parental leave program
401K program
And more....
*Our total rewards package is for full time employees only. Intern and Contract positions are not eligible.The salary and/or hourly range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining a team member's base salary and/or rate, several factors may be considered as applicable (e.g., location, specialty, years of relevant experience, education, credentials, budget and internal equity).Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.


Principal Data Scientist Compliance And Claims

At Devoted Health, we’re on a mission to dramatically improve the health and well-being of older Americans by caring for every person like family. That’s why we’re gathering smart, diverse, and big-hearted people to create a new kind of all-in-one healthcare company — one that combines compassion, health insurance, clinical care, service, and technology - to deliver a complete and integrated healthcare solution that delivers high quality care that everyone would want for someone they love. Founded in 2017, we've grown fast and now serve members across the United States.  And we've just started. So join us on this mission!Job DescriptionWhy Devoted:Make a difference... a big difference. You will have the opportunity, in a unique and dynamic culture, to be a part of something incredibly meaningful. We’re a disruptive startup with an inspiring mission. Learn and grow alongside our world-class team of healthcare, technology, and data leaders, dedicated to building a health plan and clinical services that care for everyone like they were our own mothers or fathers. Our team and board members have decades of experience in health care entrepreneurship, data, technology, services, and policy. With their support, we look forward to building a health plan and clinical services that will give seniors easy access to the high-quality care they deserve.A bit about this role:The Principal Data Scientist will serve as a crucial partner to many business areas, ensuring visibility into and measurement of all elements of Devoted’s health plan compliance reporting and program effectiveness; including partnering with our claim operations team on ongoing oversight and performance.This individual will partner with Product Managers and Software Engineers to ensure core audit concepts are appropriately represented in Devoted’s proprietary software. This individual will build robust data pipelines that underpin our operations and audits of them. They will foster a data-driven culture by using their technical expertise to identify opportunities to improve key outcomes and operational efficiency. They will partner with business leads and our delegated operations team to measure and improve program effectiveness. This is a high profile role that is critical to Devoted Health’s success.This role will be the technical lead in audits of our business. This individual will become a SME in the technical specifications of CMS audits, collaborate across business areas to ensure a consistent technical implementation of specifications, and represent Devoted in audits.Experience in highly regulated areas with extensive audits is a big PLUS. Responsibilities will include:
Serve as the technical lead of audits, ensuring consistent implementation of audit concepts across the business and helping build a robust tool set for data extraction and submission
Working closely with key business stakeholders to provide visibility and insight in a rapid, iterative, and collaborative process
Designing and developing comprehensive monitoring of performance and supplemental benefit operations across compliance, finance, member experience, and ops SLAs of delegated entities
Partnering with business leads to Identify patterns and improve the speed and accuracy of our processes
Communicating results to an audience of mixed technical backgrounds
Required skills and experience:
Ability to work in a fast-paced startup environment
7+ years of individual technical contributor experience
5+ years of working on Data Science initiatives
Experience collaborating effectively with stakeholders
Advanced SQL skills
Experience with Python or R
Equally comfortable building dashboards and reports for KPIs, and leading technical solutions to support data extraction and submission in audits
Knowledge of CMS audits is strongly preferred
#LI-BC1#LI-RemoteSalary range: $161,000 - $180,000 per yearOur Total Rewards package includes:
Employer sponsored health, dental and vision plan with low or no premium
Generous paid time off
$100 monthly mobile or internet stipend
Stock options for all employees
Bonus or commission eligibility for all roles
Parental leave program
401K program
And more....
*Our total rewards package is for full time employees only. Intern and Contract positions are not eligible.The salary and/or hourly range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining a team member's base salary and/or rate, several factors may be considered as applicable (e.g., location, specialty, years of relevant experience, education, credentials, budget and internal equity).Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.


Staff Data Scientist Pricing Experimentation

At Coinbase, 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 Web3 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 ourmission-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.
Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line.
Specifically, we’re looking for a Staff Data Scientist to join our Retail Trading Team. In this role, you’ll take charge of pricing experimentation and play a pivotal role in determining our pricing strategy: you’ll spearhead testing design and analysis, find opportunities to improve engagement and our bottom line, and communicate your ideas to execs and leaders across the company
What you’ll be doing (ie. job duties):
Act as a strategic partner and collaborate with cross-functional stakeholders to develop pricing experiment hypotheses
Design and implement multiple pricing experiments simultaneously and evaluate results to determine the optimal pricing strategy
Explore advanced experiment techniques such as small sample enhancements, Bayesian approaches and apply them successfully for complex experiments
Develop frameworks to facilitate decision-making around metric trade-offs, particularly when they involve multiple organizations
Aggregate learnings to inform the pricing framework, principles, and future decisions
Synthesize data learnings into compelling stories and communicate them throughout Coinbase and to senior executives
Initiate, develop, and maintain data pipelines and data models with outstanding craftsmanship
What we look for in you (ie. job requirements):
Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
PhD in Statistics, Economics or a related field
Minimum 5 years of experience in pricing experimentation, data analysis and statistical modeling
Strong proficiency in SQL, Python, R, or other programming languages used for data analysis and statistical modeling
Ability to independently create plans for analytics projects and a track record of overseeing large / complex analytical projects spanning multiple teams
Excellent communication and presentation skills with the ability to explain complex data and analysis to non-technical stakeholders.
Strong attention to detail and ability to work under tight deadlines
Nice to haves:
Experience applying causal inference techniques outside of controlled experiments
Experience applying causal inference techniques outside of controlled experiments
Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range from $201,450 to $237,000 + target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
ID: P51651
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 Know Your Rights 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).
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.