Remote Decision Scientist: Forecasting & ML

Eliassen Group; Hartford (CT); Remote; USD 76,000 - 85,000; Full time

Job summary

Eliassen Group seeks a Decision Scientist to develop forecasting, statistical, econometric, and ML solutions supporting audience, viewership, advertising, and revenue decisions. You will build production-ready models and data pipelines, collaborating with stakeholders to translate analytical needs into scalable solutions and presenting findings to leadership.

Role emphasizes remote engagement, advanced statistical methods, and production deployment across cloud environments.

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 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.

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

Python

SQL

Data pipelines

Cloud environments

Docker

GitHub

GitLab

CI/CD

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 related field

Tools

Snowflake

Job description

Eliassen Group seeks a Decision Scientist to develop forecasting, statistical, econometric, and ML solutions supporting audience, viewership, advertising, and revenue decisions. You will build production-ready models and data pipelines, collaborating with stakeholders to translate analytical needs into scalable solutions and presenting findings to leadership.

Role emphasizes remote engagement, advanced statistical methods, and production deployment across cloud environments.