The Customer Success 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 empowers organizations to make smarter decisions by simulating real-world outcomes using synthetic populations. Our platform enables clients in healthcare, insurance, and government to analyze complex systems and human behavior, delivering actionable insights for critical challenges.
Our mission is to revolutionize decision-making through the use of synthetic populations and simulation, creating a positive impact on industry, government, and academia. Having secured Series A funding, we’re 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
Skills and 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 quickly growing team that values curiosity and creativity. We are fully remote, with team members in both the United States and Europe. Benefits include incentives such as our stock option program, flexible time off, eligibility for participating in the Epistemix Health and Welfare Program for employees in the United States, and the opportunity to apply your skill set to make an impact.
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.