Shape the future of data science from anywhere as a Synthetic Population Engineer with Epistemix. Utilize advanced models to enhance synthetic populations and support impactful decision-making. As a Synthetic Population Engineer at Epistemix, you will leverage cutting-edge data science techniques to develop and improve a statistically significant synthetic population.

Your expertise in Python, relational databases like PostgreSQL, and geospatial data will enable you to enrich datasets, improving data accessibility for diverse use cases. Make an impact in public health and social policy by contributing to realistic modeling that informs decision-makers. Key Responsibilities:

- Identify and evaluate datasets to enhance the synthetic population
- Utilize simulations to project demographic trends




- Improve geographical accuracy of synthetic environments
- Create compelling visualizations for marketing purposes
- Collaborate with external vendors to expand data ecosystems Requirements:
- Proficient in Python and relational databases like PostgreSQL
- Expertise in geospatial data and simulation models
- Passion for improving decision-making through data
- PhD or master’s in Data Science or related field
- Proven history of building data products Enhance your data science career by refining synthetic populations at Epistemix, shaping impactful societal decisions.

📌 Remote Synthetic Population Engineer at Epistemix (Edmonton)
🏢 Socket.dev
📍 Edmonton