Synthetic Population Engineer

Proficient experience using Python for data science applications. Working with relational databases such as PostgreSQL. Working with geospatial data. Working with simulation or machine learning models. Demonstrate empathy for users and decision makers. Possessing the passion to build the standard for synthetic populations globally. A PhD or master’s degree in Data Science or a relevant technical discipline. 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.

Identify and evaluate empirical datasets to enrich the synthetic population. Utilize simulation techniques, including ABMs, to project future demographic trends. Improve geographical plausibility of synthetic environments. Expand the geographical region covered by the synthetic population. Create visualizations for marketing and productizing synthetic populations. Develop methods for augmenting Epistemix synthetic populations with external data. Work with vendors and marketplaces to expand data provider ecosystem. Support synthetic populations team in engaging with customer success, professional services, and engineering teams.