Synthetic Population Engineer

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🕒 February 26

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Epistemix

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

☁️ SaaS

🤖 Artificial Intelligence

🤝 B2B

💰 $7M Series A - Epistemix on 2024-06

SaaS • Artificial Intelligence • B2B

Epistemix is a SaaS decision-making platform that uses large synthetic population and agent-based simulation models, AI, and inference to help organizations test scenarios, forecast trends, and optimize interventions in low-data and uncertain environments. Customers overlay their data on representative 1:1 synthetic populations to generate consumer insights, forecast adoption and tipping points, and run scenario planning for marketing, public health, pharmaceuticals, and policy decisions to reduce risk and improve outcomes.

📋 Description

• 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.

🎯 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.