Decision Scientist

Description

Remote

Our client seeks a Decision Scientist to develop and operationalize forecasting, statistical, econometric, and machine learning solutions that support audience, viewership, advertising, and revenue management decisions. The role includes building production-ready models and data pipelines, partnering with stakeholders to translate analytical needs into scalable solutions, and presenting findings to business leaders.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $55.00 to $61.88/hr. w2

JN
- 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.

• 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, Git Hub and/or Git Lab, 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.

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