Epistemix is hiring a
Data Scientist

Summary

The job is for a Data Scientist as a Synthetic Population Engineer at Epistemix. The role involves enhancing and developing synthetic populations, working with various teams, and contributing to best practices for standardizing the development of synthetic populations globally.

Requirements

• A PhD or master’s degree in data science or a relevant technical discipline like mathematics, statistics, computer science, or computational social science
• Proficient experience in using Python for data science applications
• Working with relational databases such as PostgreSQL (additional database management experience preferred)
• Working with geospatial data
• Working with simulation or machine learning models

Responsibilities

• Identify and evaluate empirical datasets and use them to augment synthetic population attributes (e.g. health histories) and relationships (e.g. social networks)
• Enhance geographical realism of places such as homes, workplaces, and schools
• Improve realism of our baseline behavioral model (e.g. synthetic individuals visit friends and relatives)
• Contribute to best practices for standardizing the development of synthetic populations for countries around the world
• Develop software packages for visualizing synthetic populations, and create visualizations for marketing and productizing synthetic populations
• Deliver synthetic populations as self-contained products with comprehensive documentation that can be marketed to external users
• Develop workflows that enable external users to augment Epistemix synthetic populations with their own proprietary data
• Work with external vendors and marketplaces to expand the ecosystem of data providers that can be integrated with the synthetic population
• Support the synthetic populations team in engaging with customer success, professional services, and engineering teams to understand project specific synthetic population requirements

Preferred Qualifications

• Empathy for users and decision makers using the synthetic population in their work and being able to translate the complexity into understandable information by our users and customers
• Possessing the passion to build the standard for synthetic populations globally to improve decision making across social, health, economic, and environmental policies and advancing data science into more commercial applications
• Proven track record of success building data products and/or data marketplaces

Benefits

• 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