Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
US · CA · UK · Pittsburgh, Pennsylvania, United States
Open 5 months, first seen by us 155 days agoMeaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference. This is a remote position open to applicants located in the United States. Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.
Location type: RemoteFrom the employer’s posting
Employment type: Full-timeFrom the employer’s posting
Department: Data ScienceFrom the employer’s posting
Must be legally authorized to work in the United States and not require employer sponsorship now or in the future
Work with customer teams to plan data integration, modeling and visualization for decisions
Develop, test and validate simulation models for healthcare use cases
Contribute to customer onboarding content so users reach first successes
Provide informal support, tips and troubleshooting to customer users
Run reviews with customers to document and improve measurable impact
Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making
Collaborate with customer and internal teams to develop, test, and validate simulation models, ensuring their accuracy and relevance for healthcare use cases
Contribute to customer onboarding experiences and content, helping to ensure customers quickly achieve their first successes with the platform
Engage with customer users to provide informal support, tips, and troubleshooting
Participate in reviews with customers to document and improve measurable impact
Ability to collaborate with diverse users and internal teams
Strong communication skills: verbal, code, visualizations, and maps
Understanding of key concepts of the healthcare industry required. Prior healthcare experience (broadly defined) very strongly preferred
Proficiency in Python and associated data science technologies
Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools
2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. (Work in PhD program can count toward experience)
Expertise in SQL or NoSQL databases preferred
Experience with more than one company size or business stage preferred
- Expertise in SQL or NoSQL databases preferred - 2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. (Work in PhD program can count toward experience) - Masters or Ph.D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field
- 2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. (Work in PhD program can count toward experience) - Masters or Ph.D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field - Experience with more than one company size or business stage preferred
We build simulation and data-driven modeling tools that let leaders visualize how strategies will unfold across populations and systems before they commit resources.
In the employer’s words · Read in context
Open 5 monthsWe first saw this posting 155 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Day 155
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 10,000 similar postings that came down. Coming down is not always a hire.
1 open job
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Comfort working in a dynamic environment with evolving priorities and customer needs - Proficiency in Python and associated data science technologies - Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools
- Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools - Expertise in SQL or NoSQL databases preferred - 2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. (Work in PhD program can count toward experience)
- Proficiency in Python and associated data science technologies - Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools - Expertise in SQL or NoSQL databases preferred
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
The Data Scientist supports data integration and modeling for a portfolio of customers, supporting adoption and high-impact use of the Epistemix software platform. This role contributes to profitable growth by driving customer satisfaction, accelerating time to insights, and accelerating our time to value for customers. Ultimately, your work supports customer satisfaction, customer retention, and revenue growth from existing customers.
The most consequential decisions in public health, life sciences, insurance, and enterprise strategy share a common problem: they involve human behavior, network effects, and downstream effects that cannot be safely tested before action is taken. Traditional analytical techniques built on historical data were not built for this. Epistemix was.
We build simulation and data-driven modeling tools that let leaders visualize how strategies will unfold across populations and systems before they commit resources. By clarifying which variables drive outcomes, where leverage exists, and how they interact, we help organizations move from uncertainty to conviction. Getting these decisions right means faster interventions, better-allocated resources, and measurable improvements in human and economic outcomes. We exist to make that possible.
Our platform gives organizations access to realistic, high-resolution population data and the modeling infrastructure to run scenario planning at scale. Together, these capabilities let decision-makers stress-test strategies in a controlled environment before deploying them in the real world across healthcare, consumer industries, insurance, and government. We are approaching our Series B and actively building the team that will define what comes next.
Support customers’ and colleagues’ efforts to use our platform to deliver data integration, visualizations, models and recommendations that create meaningful impact
Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making
Collaborate with customer and internal teams to develop, test, and validate simulation models, ensuring their accuracy and relevance for healthcare use cases
Provide guidance for proposals on feasibility of scope and how to ensure impact
Contribute to customer onboarding experiences and content, helping to ensure customers quickly achieve their first successes with the platform
Engage with customer users to provide informal support, tips, and troubleshooting
Collaborate with premium support customers by integrating data and creating models, simulations, or visualizations. Support recommendation development and action plans
Participate in reviews with customers to document and improve measurable impact
Provide feedback to Product and Sales teams to align offerings with customer needs
Follow advancements in data science, machine learning, and healthcare analytics
Commitment to understanding customer needs and helping them achieve goals
Creative mindset with a passion for tackling challenging problems with data
Ability to collaborate with diverse users and internal teams
Strong communication skills: verbal, code, visualizations, and maps
Strong foundation in machine learning, data modeling, and predictive analytics
Understanding of key concepts of the healthcare industry required. Prior healthcare experience (broadly defined) very strongly preferred
Comfort working in a dynamic environment with evolving priorities and customer needs
Proficiency in Python and associated data science technologies
Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools
Expertise in SQL or NoSQL databases preferred
2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. (Work in PhD program can count toward experience)
Masters or Ph.D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field
Experience with more than one company size or business stage preferred
Must be legally authorized to work in the United States and not require employer sponsorship now or in the future.
By joining Epistemix, you will become part of a collaborative and rapidly growing team that values curiosity and creativity. We are fully remote, with team members in the United States and Europe. Benefits include:
Equity & Incentives – Participation in our stock option program.
Flexible Time Off – Autonomy to manage your schedule and work-life balance.
Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees).
Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference.
This is a remote position open to applicants located in the United States. Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.
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Pittsburgh, Pennsylvania, United States
Why Join Epistemix? By joining Epistemix, you will become part of a collaborative and rapidly growing team that values curiosity and creativity. We are fully remote, with team members in the United States and Europe. Benefits include: - Equity & Incentives – Participation in our stock option program.
- Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference. This is a remote position open to applicants located in the United States. Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.
- Experience with more than one company size or business stage preferred - Must be legally authorized to work in the United States and not require employer sponsorship now or in the future. Why Join Epistemix?
- Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference. This is a remote position open to applicants located in the United States. Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.