Epistemix · 3 weeks ago
Synthetic Population Engineer
United States
Full-time
Remote
Mid, Senior LevelEpistemix is a company that helps organizations forecast outcomes and manage risk by modeling how people behave. They are seeking a Synthetic Population Engineer to improve and enrich their synthetic population models using advanced data science techniques, contributing to customer success and the overall growth of the company.
AnalyticsConsumer GoodsHealth CareSoftware
No H1B
Responsibilities
Identify and evaluate empirical datasets and use them to enrich the synthetic population to enable new use cases, including through adding new individual attributes and detailed social networks
Utilize simulation techniques, including ABMs, to project future demographic trends
Improve the geographical plausibility of synthetic environments, ensuring realistic placement of homes, workplaces, schools, and other points of interest (e.g., along roads, close to real world population centers)
Expand the geographical region covered by the Epistemix synthetic population, with the goal of creating a fully integrated and consistent representation of the global population
Create visualizations for marketing and productizing synthetic populations
Develop innovative methods for supporting external users in augmenting Epistemix synthetic populations with their own proprietary data
Work with external vendors and marketplaces to expand the ecosystem of data providers that can be integrated with the synthetic population
Support the synthetic populations team in engaging with customer success, professional services, and engineering teams to understand project specific synthetic population requirements
Qualification
Required
Proficient experience in using Python for data science applications
Proficient experience in working with relational databases such as PostgreSQL
Proficient experience in working with geospatial data
Proficient experience in working with simulation or machine learning models
Demonstrate empathy for users and decision makers by explaining how the synthetic population was created in an accessible way for all
Possessing the passion to build the standard for synthetic populations globally to improve decision making across social, health, economic, and environmental policies and advancing data science into more commercial applications
A PhD or master's degree in Data Science or a relevant technical discipline such as Computer Science, Mathematics, Statistics, Epidemiology, or Public Health
Proven track record of success building data products and/or data marketplaces
Having a startup mentality with understanding the risks and the ability to flex across needs of an evolving team in a fast-paced environment
Preferred
Additional database management experience preferred
Benefits
Equity & Incentives – Participation in our stock option program.
Flexible Time Off – Autonomy to manage your schedule and work-life balance.
Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees).
Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference.
Company
Epistemix
Epistemix simulates how people behave so organizations can test strategies, forecast outcomes, and make faster, smarter decisions.
Founded in 2018
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$14.3M2024-07-01Series A· $7M
2023-06-01Convertible Note· $2.8M
2022-02-11Series Unknown· $2.5M
Leadership Team
John Cordier
Chief Executive Officer
John Grefenstette
Co-Founder of Epistemix, Inc.
Recent News
2022-03-04
SEC
2022-02-28
Company data provided by crunchbase