--- title: 'Data Scientist at Epistemix' canonical: 'https://feeny.ai/job/data-scientist-epistemix-united-states-ghye54d22xmh' type: 'job' last_seen: '2026-09-05' --- # Data Scientist at Epistemix - **Company:** Epistemix - **Location:** United States - **Employment:** full-time - **Work type:** remote - **Posted:** 2025-12-08 - **Last confirmed live:** 2026-09-05 - **Apply:** https://jobs.ashbyhq.com/epistemix/2cf258de-d6ff-4c32-9f78-a4d9f2913b61 ## Job description 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 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. ## 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 ## QUALIFICATIONS - 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. 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. - 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. ## About Epistemix ## Company Overview - **One-liner**: Epistemix provides an agent-based simulation platform that enables organizations to forecast population behavior, manage risk, and make data-driven decisions in low-information environments. - **Entity Type**: Private (Post-Series A; raised $19.5M in total funding across 7 rounds) - **Headquarters**: Pittsburgh, Pennsylvania, United States (with an office in the United Kingdom) - **Founded**: 2018 - **Founders**: John Cordier (CEO) ## Core Business - **Primary industry/industries**: Simulation Software, Population Modeling, Decision Intelligence, Public Health - **Target customers**: Government agencies (public health), Global Corporations (CPG, healthcare, finance), and Research Organizations (B2B, Enterprise) - **Mission or purpose statement**: Epistemix is building the tools to make sense of complex population dynamics to empower better decisions — replacing uncertainty with clarity and moving decision-making from guesswork to insight. ## Products & Services - **[Populus]**: A population data platform that provides a statistically representative 1:1 synthetic population of a target market. Used for sizing Total Addressable Market (TAM), segmenting audiences, enriching existing data, and discovering patterns traditional analyses miss. (Data/API Platform) - **[Polaris]**: A scenario planning platform that empowers organizations to test strategies, optimize decisions, and shorten decision cycles through simulation, AI, and inference. Users can ask "What If...?" to understand the impact of different scenarios (e.g., product launches, resource allocation, health benefit adoption). (SaaS Simulation Platform) - **Custom Consulting / Modeling Services**: Epistemix partners with clients to build bespoke agent-based models for specific strategic challenges (e.g., disease spread, market saturation, political polarization). (Service) ## Market Standing - **Total Funding**: $19.5M (across 7 rounds) - **Latest Round (Seed/Series A mix)**: - Series A (2024-03-31): $5.0M from 3 investors - Venture Round (2022-02-11): $5.1M - Seed Round (2022-03-01): $5.0M from 4 investors - **Notable Investors/Partners**: Not fully disclosed in public sources, but seed/Series A syndicate includes multiple unnamed institutional investors. Partners include leading public health agencies and global corporations. - **Growth Signals**: - Headcount grew 15% YoY (16 employees as of mid-2025). - LinkedIn followers grew 30.2% over the past year. - Website traffic grew 281.6% year-over-year. - Actively hiring with 14 open positions (including AI Engineers, Data Scientists, and Backend Engineers). - Clients include major public health agencies and global CPG/healthcare firms. ## Competitive Advantages - **Proprietary Synthetic Population Technology**: Epistemix builds statistically representative "digital twins" of entire populations (countries, cities, target demographics) without using real PII. This allows them to model behavior in environments where traditional data is sparse or unavailable. - **Agent-Based Modeling (ABM) at Scale**: Unlike traditional statistical models, their ABM simulates the interactions of millions of individual "agents," capturing emergent behaviors (e.g., tipping points, market saturation, cultural movements) that aggregate models miss. - **Academic-to-Commercial Bridge**: Born from academic research, the platform has been validated in high-stakes environments (e.g., pandemic response), providing a strong credibility moat. - **High Switching Costs**: The platform integrates deeply into client planning workflows. Once an organization builds its decision-making process around Epistemix’s simulation outputs, the cost and risk of switching to a less sophisticated alternative are high. ## Strategic Focus - **Product-Led Growth & Platformization**: Shifting from bespoke consulting to a self-service and scalable SaaS platform (Populus/Polaris). - **Industry Expansion**: Moving beyond public health into CPG, financial services, and climate resilience. - **AI Integration**: Leveraging AI and inference engines within the platform to accelerate scenario creation and improve prediction accuracy. - **Talent Acquisition**: Bulking up engineering and data science teams (hiring for AI Engineers, Synthetic Population Engineers, and Senior Backend Engineers) to accelerate product development. ## Why Work Here - **Mission-Driven**: Work on the "biggest challenges of our time" — pandemics, climate change, political polarization — by giving leaders the tools to make sense of complex dynamics. - **Culture & Values**: Guided by values of **Empathy** (understanding users, constraints, motivations), **Clarity** (keeping things simple, being forthright), **Inspiration** ("checkers, not chess" — focus on long-term strategy), and **Grit** (sustained effort to win). - **Technical Depth**: Strong emphasis on agent-based modeling, synthetic populations, and AI. Tech stack includes Python, TypeScript, Django, React, Postgres, Kubernetes, AWS, Terraform, and modern CI/CD tooling. - **Growth Opportunity**: As a 16-person company growing rapidly (15% YoY headcount growth) with $19.5M in funding, new hires have significant ownership and impact over product direction. - **Work Modes**: Primarily in-office presence (HQ in Pittsburgh, PA) with some flexible arrangements. The team culture emphasizes direct collaboration on complex modeling challenges. ## Sources 1. [epistemix.com](https://epistemix.com/) 2. [epistemix.com (About)](https://epistemix.com/about) 3. [epistemix.com (Careers)](https://epistemix.com/careers) 4. [LinkedIn Company Page](https://www.linkedin.com/company/epistemix) 5. [Ashby Job Board](https://jobs.ashbyhq.com/epistemix) 6. [Wellfound (AngelList) - Epistemix](https://wellfound.com/company/epistemix) ## Other roles at Epistemix - [Manager, Strategic Operations](https://feeny.ai/job/manager-strategic-operations-epistemix-united-states-mdmr3gxg5z73) — United States - [Infrastructure Architect](https://feeny.ai/job/infrastructure-architect-epistemix-united-states-rrkq2tbah3s0) — United States - [AI Engineer](https://feeny.ai/job/ai-engineer-epistemix-united-states-dpxypqt55x7z) — United States - [Synthetic Population Engineer](https://feeny.ai/job/synthetic-population-engineer-epistemix-united-states-gj0qtws52gg1) — United States - [Senior Back End Software Engineer](https://feeny.ai/job/senior-back-end-software-engineer-epistemix-united-states-xf60zc9ynjeh) — United States - [Data Scientist](https://feeny.ai/job/data-scientist-moonpig-london-snyv8sk5y734) — London, United Kingdom - [Data Scientist](https://feeny.ai/job/data-scientist-siteminder-pune-sbsqk7vby9be) — Pune, India - [Data Scientist](https://feeny.ai/job/data-scientist-platform-science-brazil-qbe9ryqqenny) — Brazil - [Data Scientist](https://feeny.ai/job/data-scientist-lyft-seattle-q264zy62f5ah) — Seattle, WA - [Data Scientist](https://feeny.ai/job/data-scientist-funding-circle-london-z7stq48ttw59) — London, United Kingdom