What are the responsibilities and job description for the Data Scientist position at Epistemix?
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.
About Epistemix
Epistemix helps organizations forecast outcomes and manage risk by modeling how people behave. Our platform consists of two core products: Populus, which provides access to realistic, high-resolution synthetic population data, and Polaris, which enables scenario planning through advanced data science and simulation. Together, they empower customers to evaluate the potential impact of strategies before deploying them in the real world.
Organizations across healthcare, consumer industries, insurance, and government use Epistemix to reduce uncertainty, optimize decisions, and accelerate time to value. Whether estimating total addressable market, testing public health interventions, or forecasting behavior change, our tools help teams make confident decisions when pre-existing data may not exist.
Leading up to our Series B financing, we are hiring key roles onto the team and entering an exciting phase of growth and innovation. Join us to combine cutting-edge technology with a purpose-driven mission to make the world a better place.
Responsibilities
Support customers’ and colleagues’ efforts to use our platform to deliver data integration, visualizations, models and recommendations that create meaningful impact
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:
About Epistemix
Epistemix helps organizations forecast outcomes and manage risk by modeling how people behave. Our platform consists of two core products: Populus, which provides access to realistic, high-resolution synthetic population data, and Polaris, which enables scenario planning through advanced data science and simulation. Together, they empower customers to evaluate the potential impact of strategies before deploying them in the real world.
Organizations across healthcare, consumer industries, insurance, and government use Epistemix to reduce uncertainty, optimize decisions, and accelerate time to value. Whether estimating total addressable market, testing public health interventions, or forecasting behavior change, our tools help teams make confident decisions when pre-existing data may not exist.
Leading up to our Series B financing, we are hiring key roles onto the team and entering an exciting phase of growth and innovation. Join us to combine cutting-edge technology with a purpose-driven mission to make the world a better place.
Responsibilities
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.