Improve Decision Making in Low-Data Environments
Synthetic Population Engineer
Location
United States
Posted
93 days ago
Salary
0
Seniority
Senior
Job Description
Synthetic Population Engineer
Epistemix
• Identify and evaluate empirical datasets and use them to enrich the synthetic population to enable new use cases, including through adding new individual attributes and detailed social networks. • Utilize simulation techniques, including ABMs, to project future demographic trends. • Improve the geographical plausibility of synthetic environments, ensuring realistic placement of homes, workplaces, schools, and other points of interest (e.g., along roads, close to real world population centers). • Expand the geographical region covered by the Epistemix synthetic population, with the goal of creating a fully integrated and consistent representation of the global population. • Create visualizations for marketing and productizing synthetic populations. • Develop innovative methods for supporting external users in augmenting 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.
Job Requirements
- 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.
- Demonstrate empathy for users and decision makers by explaining how the synthetic population was created (e.g., which data sources and models were used) in an accessible way for all.
- 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.
- A PhD or master’s degree in Data Science or a relevant technical discipline such as Computer Science, Mathematics, Statistics, Epidemiology, or Public Health.
- Proven track record of success building data products and/or data marketplaces.
- Having a startup mentality with understanding the risks and the ability to flex across needs of an evolving team in a fast-paced environment.
Benefits
- 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.
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