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Benefits offered by this job
Equity & Incentives
Flexible Time Off
Health, Welfare and 401(k) Programs
Meaningful Impact on decision-making
Job summary
A data science company is seeking a Synthetic Population Engineer to refine and expand its synthetic population dataset. This role involves improving the accuracy and applicability of synthetic populations for varied clients, using advanced data science techniques. Candidates should have strong experience with Python, relational databases, and a relevant academic background. This position offers remote working options and a chance to make a meaningful impact in data-driven decision-making across sectors.
Qualifications
Proficient experience in Python for data science applications.
Empathy for users by explaining dataset creation clearly.
Strong passion for improving decision making using synthetic populations.
Responsibilities
Evaluate and enrich synthetic population with empirical datasets.
Use simulation techniques to project demographic trends.
Improve geographical plausibility of synthetic environments.
Skills
Data Science applications using Python
Relational databases (PostgreSQL)
Geospatial data
Simulation or machine learning models
Education
PhD or master's degree in Data Science or relevant field
Job description
A data science company is seeking a Synthetic Population Engineer to refine and expand its synthetic population dataset. This role involves improving the accuracy and applicability of synthetic populations for varied clients, using advanced data science techniques. Candidates should have strong experience with Python, relational databases, and a relevant academic background. This position offers remote working options and a chance to make a meaningful impact in data-driven decision-making across sectors.