Remote Decision Scientist: Forecasting & ML

Eliassen Group; Honolulu (HI); Remote; USD 76,000 - 84,000; Part time

Job summary

Eliassen Group is seeking a Decision Scientist for a remote contract role in the United States. You will develop forecasting and ML models, analyze audience and advertising data, and deploy scalable data science solutions with production pipelines.

Collaborate with stakeholders to translate analytical needs into actionable insights and present results to leadership. Ideal candidates have advanced statistics expertise, Python/SQL proficiency, and experience in cloud environments and CI/CD.

Qualifications

• Advanced expertise in statistics, forecasting, econometrics, and ML.
• Strong programming skills in Python and SQL.
• Experience with production data pipelines and cloud environments.
• PhD or Master’s in a quantitative field preferred.

Responsibilities

• Develop and maintain forecasting, statistical, econometric, and machine learning models.
• Analyze audience, viewership, advertising impressions, and demographic data.
• Support revenue management, pricing, and business decision-making initiatives.
• 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

Relational databases

Time series forecasting

Bayesian statistics

Generalized linear models

Econometric modeling

Machine learning algorithms

Optimization

Simulation

Education

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

Tools

Snowflake

Docker

GitHub

GitLab

Job description

Eliassen Group is seeking a Decision Scientist for a remote contract role in the United States. You will develop forecasting and ML models, analyze audience and advertising data, and deploy scalable data science solutions with production pipelines.

Collaborate with stakeholders to translate analytical needs into actionable insights and present results to leadership. Ideal candidates have advanced statistics expertise, Python/SQL proficiency, and experience in cloud environments and CI/CD.