Remote Decision Scientist: Forecasting, ML & Data Pipelines

Eliassen Group; Chicago (IL); Remote; USD 76,000 - 85,000; Full time

Benefits offered by this job

Medical, Dental, Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking a Decision Scientist to build and operationalize forecasting, statistical, econometric, and ML models that drive audience, viewership, advertising, and revenue management decisions.

The role involves delivering production-ready solutions, data pipelines, and presenting findings to business leaders. Remote work is offered; W2 engagement with comprehensive benefits is provided.

Qualifications

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

Responsibilities

• Develop and maintain forecasting, statistical, econometric, and ML models.
• Analyze audience, viewership, advertising impressions, and demographic data.
• Support revenue management, pricing, and business decisions.
• Build, deploy, and maintain production-ready data science solutions.
• Create automated data pipelines and deployment processes.
• Collaborate with stakeholders to translate analytics into scalable solutions.
• Present findings to leaders and clients.

Skills

Python

SQL

Pipelines

Cloud

Docker

GitHub

GitLab

Time series

Bayesian statistics

Econometric modeling

ML algorithms

Pipelines

Education

Master's or PhD in Statistics, Econometrics, Operations Research, Industrial Engineering, Mathematics, Machine Learning, or related field

Tools

Snowflake

CI/CD tools

Job description

Eliassen Group is seeking a Decision Scientist to build and operationalize forecasting, statistical, econometric, and ML models that drive audience, viewership, advertising, and revenue management decisions.

The role involves delivering production-ready solutions, data pipelines, and presenting findings to business leaders. Remote work is offered; W2 engagement with comprehensive benefits is provided.