Decision Scientist

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

Description

Remote

Our client seeks a Decision Scientist to develop and operationalize forecasting, statistical, econometric, and machine learning solutions that support audience, viewership, advertising, and revenue management decisions. The role includes building production-ready models and data pipelines, partnering with stakeholders to translate analytical needs into scalable solutions, and presenting findings to business leaders.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $55.00 to $61.88/hr. w2

JN -092026-108667

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.

Experience Requirements

• Advanced expertise in statistics, forecasting, econometrics, and machine learning.
• Strong programming experience with Python and SQL.
• Experience with production data pipelines, cloud environments, CI/CD, Docker, GitHub and/or GitLab, and relational databases.
• Expertise in one or more of: time series forecasting, Bayesian statistics, generalized linear models, econometric modeling, machine learning algorithms, optimization, and simulation.
• Preferred: PhD, Snowflake, media or entertainment industry experience, audience or viewership forecasting, advertising and impressions analytics, revenue management and pricing analytics, linear TV or streaming analytics.

Education Requirements

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