Synthetic Population Engineer
Epistemix · Remote · US · CA · UK ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote (Global)
- Python + PostgreSQL
- Geospatial data focus
- No visa sponsorship
- Equity included
You will use advanced data science techniques to continuously improve Epistemix's synthetic population, a model representing real people and their environments. Your work will enable customers in public health, insurance, and enterprise strategy to solve problems where empirical data is unavailable or privacy-sensitive.
The team builds simulation tools that allow leaders to visualize how strategies unfold across populations. You will contribute to profitable growth by making these datasets more useful, accessible, and trusted by ensuring they are continuously updated and improved.
What you'll do
- Evaluate empirical datasets to enrich synthetic populations with new attributes and social networks
- Use simulation techniques like ABMs to project future demographic trends
- Improve geographical plausibility of synthetic environments and point placement
- Expand geographical coverage to create a consistent global population representation
- Create visualizations for marketing and productizing synthetic populations
- Develop methods for external users to augment populations with proprietary data
- Collaborate with vendors to expand the ecosystem of integrated data providers
- Support customer success and engineering teams on project-specific requirements
What you'll need
- Proficient in Python for data science applications
- Experience with relational databases such as PostgreSQL
- Strong background in working with geospatial data
- Experience with simulation or machine learning models
- Ability to explain complex data sources and models accessibly
- Master’s or PhD in Data Science, CS, Math, Statistics, or related field
- Proven track record in building data products or marketplaces
- Startup mentality with ability to adapt in a fast-paced environment
Stack
- Python
- PostgreSQL
- ABMs
- Geospatial data tools
How you'll work
- Fully remote position
- Open to applicants globally
- Strong interest in US and Europe based candidates
- No visa sponsorship or transfer available
- Must have legal right to work in intended location
What you get
- Participation in stock option program
- Flexible time off with schedule autonomy
- Health, welfare and 401(k) for US employees
- Collaborative and rapidly growing team culture