Remote Decision Scientist - Forecasting & ML

Eliassen Group; San Juan (PR); Remote; USD 76,000 - 84,000; Full time

Job summary

Eliassen Group is seeking a Decision Scientist to develop forecasting, statistical, econometric, and ML solutions that support audience, viewership, advertising, and revenue management decisions.

The role involves building production-ready models, data pipelines, and collaborating with stakeholders to translate analytical needs into scalable solutions, with findings presented to business leaders.

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, ML algorithms, optimization, and simulation.
• PhD preferred; Snowflake and media/entertainment experience 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 and maintain automated data pipelines and deployment processes.
• Partner with stakeholders to translate analytics needs into scalable solutions.
• Present findings to business leaders and clients.

Skills

Statistics

Forecasting

Econometrics

Machine Learning

Python

SQL

Production pipelines

Cloud

Docker

CI/CD

GitHub / GitLab

Time Series

Bayesian

GLM

Optimization

Education

Master's or PhD in Statistics/ Econometrics/ OR related

Tools

Snowflake

Docker

Relational databases

Job description

Eliassen Group is seeking a Decision Scientist to develop forecasting, statistical, econometric, and ML solutions that support audience, viewership, advertising, and revenue management decisions.

The role involves building production-ready models, data pipelines, and collaborating with stakeholders to translate analytical needs into scalable solutions, with findings presented to business leaders.