Remote Synthetic Population Engineer

Epistemix

Toronto

Remote

CAD 80,000 - 100,000

Full time

14 days+
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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.
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