Decision Scientist: Forecasting & ML (Remote)

Eliassen Group; Hagåtña (GU); Remote; USD 76,000 - 85,000; Part time

Job summary

Eliassen Group seeks a Decision Scientist to develop forecasting, statistical, econometric, and machine learning solutions to support audience, viewership, advertising, and revenue management decisions. The role involves building production-ready models, data pipelines, and partnering with stakeholders to translate analytical needs into scalable solutions.

Remote contract position with competitive hourly rates and collaboration with business leaders across multiple teams.

Qualifications

• 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 time series forecasting, Bayesian statistics, generalized linear models, econometric modeling, machine learning 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

Statistics

Forecasting

Econometrics

Machine learning

Python

SQL

Data pipelines

CI/CD

Docker

GitHub

GitLab

Relational databases

Education

Master's or PhD in Statistics/ Econometrics/ OR/ Industrial Engineering/ Mathematics/ Machine Learning

Quantitative field

Tools

Snowflake

Python

SQL

Docker

GitHub

GitLab

Job description

Eliassen Group seeks a Decision Scientist to develop forecasting, statistical, econometric, and machine learning solutions to support audience, viewership, advertising, and revenue management decisions. The role involves building production-ready models, data pipelines, and partnering with stakeholders to translate analytical needs into scalable solutions.

Remote contract position with competitive hourly rates and collaboration with business leaders across multiple teams.