Global Synthetic Population Architect (Remote)

Epistemix; United States; On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Equity & Incentives

Flexible Time Off

Health, Welfare and 401(k) Programs

Meaningful Impact

Job summary

Epistemix is seeking a Synthetic Population Engineer to enhance their synthetic population model using advanced data science techniques. This fully remote role involves evaluating datasets, improving geographical plausibility, and working with customers to utilize synthetic population data for decision-making. A strong background in Python, geospatial data, and a relevant advanced degree is required. Join us to apply your creativity in a collaborative, innovative environment with flexible benefits and a meaningful impact.

Qualifications

• Experience with using Python for data science applications.
• Working with relational databases such as PostgreSQL.
• Understanding of geospatial data and simulation models.

Responsibilities

• Identify and evaluate empirical datasets to enrich the synthetic population.
• Utilize simulation techniques to project future demographic trends.
• Improve geographical plausibility in synthetic environments.

Skills

Python for data science applications

Relational databases (PostgreSQL)

Geospatial data

Simulation or machine learning models

Education

PhD or master's degree in Data Science or relevant technical discipline

Job description

Epistemix is seeking a Synthetic Population Engineer to enhance their synthetic population model using advanced data science techniques. This fully remote role involves evaluating datasets, improving geographical plausibility, and working with customers to utilize synthetic population data for decision-making. A strong background in Python, geospatial data, and a relevant advanced degree is required. Join us to apply your creativity in a collaborative, innovative environment with flexible benefits and a meaningful impact.