Remote Decision Scientist: Forecasting & ML

Eliassen Group

Richmond (VA)

Remote

USD 76,000 - 84,000

Part time

14 days+
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Job summary

Eliassen Group is seeking a Decision Scientist for a remote contract role to develop forecasting, econometric, and ML solutions that drive audience, viewership, advertising, and revenue decisions.

You will build production-ready models and data pipelines, collaborate with stakeholders to translate analytical needs into scalable solutions, and present findings to business leaders to guide strategic decisions.

Qualifications

  • Advanced expertise in statistics, forecasting, econometrics, and ML.
  • Strong Python and SQL programming skills.
  • Experience with production data pipelines and cloud environments.
  • Familiarity with CI/CD, Docker, GitHub/GitLab, and relational databases.
  • PhD preferred; media or entertainment industry experience a plus.

Responsibilities

  • Develop and maintain forecasting, statistical, econometric, and ML models.
  • Analyze audience, viewership, ad impressions, and demographic data.
  • Support revenue management, pricing, and business decisions.
  • Build, deploy, and maintain production-ready DS solutions.
  • Create and support automated data pipelines and model deployment.
  • Partner with stakeholders to translate analytic needs into scalable solutions.
  • Present findings to business leaders and clients.

Skills

Python
SQL
Production data pipelines
Cloud environments
CI/CD
Docker
GitHub/GitLab
Relational databases
Time series forecasting
Bayesian statistics
Econometric modeling
Machine learning
Optimization
Simulation

Education

Master's or PhD in Statistics / Econometrics / OR / IE / Math / ML

Tools

Snowflake

Job description

Eliassen Group is seeking a Decision Scientist for a remote contract role to develop forecasting, econometric, and ML solutions that drive audience, viewership, advertising, and revenue decisions.

You will build production-ready models and data pipelines, collaborate with stakeholders to translate analytical needs into scalable solutions, and present findings to business leaders to guide strategic decisions.

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