Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.
Get past ATS filters
Benefits offered by this job
Participation in stock option program
Flexible time off
Health and welfare programs
Opportunity to make a meaningful impact
Job summary
A data science company is seeking a Synthetic Population Engineer to enhance their synthetic population model using advanced data science techniques. The role requires expertise in Python and relational databases, with responsibilities including enriching datasets, projecting demographic trends, and ensuring realistic data representation. This full-time remote position offers equity, flexible time off, and the chance to significantly impact data-driven decision-making.
Qualifications
Empathy for users, explaining data sources and models understandably.
Passion for building global synthetic population standards.
Startup mentality with flexibility in a fast-paced environment.
Responsibilities
Identify and evaluate empirical datasets to enrich the synthetic population.
Utilize simulation techniques to project future demographic trends.
Improve the geographical plausibility of synthetic environments.
Expand regional coverage of the synthetic population.
Create visualizations for marketing synthetic populations.
Support users in augmenting synthetic populations with proprietary data.
Engage with teams to understand project-specific requirements.
Skills
Python for data science applications
Relational databases (PostgreSQL)
Working with geospatial data
Simulation or machine learning models
Education
PhD or master’s degree in Data Science or related field
Job description
A data science company is seeking a Synthetic Population Engineer to enhance their synthetic population model using advanced data science techniques. The role requires expertise in Python and relational databases, with responsibilities including enriching datasets, projecting demographic trends, and ensuring realistic data representation. This full-time remote position offers equity, flexible time off, and the chance to significantly impact data-driven decision-making.