Remote Decision Scientist — Forecasting & ML Solutions

Eliassen Group; Salt Lake City (UT); Remote; USD 114,000 - 129,000; Part time

Job summary

Eliassen Group is seeking a Decision Scientist to design and operationalize forecasting, econometric, and ML solutions for audience, viewership, advertising, and revenue management decisions. The role emphasizes building production-grade models, robust data pipelines, and close collaboration with business stakeholders to translate analytics into scalable, impactful decisions.

The ideal candidate will have advanced statistics and ML expertise, strong Python/SQL skills, and experience with cloud

Qualifications

• Advanced expertise in statistics, forecasting, econometrics, and ML.
• Strong programming experience with Python and SQL.
• Experience with production data pipelines, cloud environments, CI/CD, Docker, GitHub/GitLab, and relational databases.
• Expertise in time series forecasting, Bayesian statistics, GLMs, econometric modeling, ML algorithms, optimization, and simulation.

Responsibilities

• Develop and maintain forecasting, statistical, econometric, and machine-learning models.
• Analyze audience, viewership, advertising impressions, and demographic performance data.
• Support revenue management, pricing, and business decision-making initiatives across businesses.
• Build, deploy, and maintain production-ready data science solutions.
• Create and support automated data pipelines and model deployment processes.
• Partner with stakeholders to translate analytical needs into scalable solutions.
• Present findings and recommendations to business leaders and clients.

Skills

Python

SQL

Data pipelines

Cloud environments

CI/CD

Docker

GitHub/GitLab

Time series forecasting

Bayesian statistics

GLMs

Econometric modeling

Machine learning

Optimization

Simulation

Education

Master's or PhD in Statistics, Econometrics, OR/Industrial Engineering, Mathematics, ML

Tools

Snowflake

Job description

Eliassen Group is seeking a Decision Scientist to design and operationalize forecasting, econometric, and ML solutions for audience, viewership, advertising, and revenue management decisions. The role emphasizes building production-grade models, robust data pipelines, and close collaboration with business stakeholders to translate analytics into scalable, impactful decisions.

The ideal candidate will have advanced statistics and ML expertise, strong Python/SQL skills, and experience with cloud