Remote Decision Scientist: Forecasting & ML Mastery

Eliassen Group; Boston (MA); Remote; USD 76,000 - 84,000; Part time

Job summary

Eliassen Group is seeking a Decision Scientist to develop and operationalize forecasting, statistical, econometric, and machine learning solutions for audience, viewership, advertising, and revenue management decisions. You will build production-ready models and data pipelines while partnering with stakeholders to translate analytical needs into scalable solutions.

Remote opportunity with competitive W2 benefits (medical, dental, vision, 401k with match).

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: time series forecasting, Bayesian statistics, generalized linear models, econometric modeling, machine learning algorithms, optimization, and simulation.
• Preferred: PhD, Snowflake, media/entertainment experience, audience/viewership forecasting, advertising analytics, revenue management.

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.
• 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

CI/CD

Docker

Git

Databases

Time series

Bayesian

Econometrics

Machine Learning

Education

Master's or PhD in Statistics/OR/Math/ML

Tools

Snowflake

Job description

Eliassen Group is seeking a Decision Scientist to develop and operationalize forecasting, statistical, econometric, and machine learning solutions for audience, viewership, advertising, and revenue management decisions. You will build production-ready models and data pipelines while partnering with stakeholders to translate analytical needs into scalable solutions.

Remote opportunity with competitive W2 benefits (medical, dental, vision, 401k with match).