Decision Scientist

Job Description

Description

Remote\n
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\nOur 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.\n
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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\n
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\nJN -092026-108667\n
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Responsibilities

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• Develop and maintain forecasting, statistical, econometric, and machine learning models.
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• Analyze audience, viewership, advertising impressions, and demographic performance data.
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• Support revenue management, pricing, and business decision-making initiatives across businesses.
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• Build, deploy, and maintain production-ready data science solutions.
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• Create and support automated data pipelines and model deployment processes.
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• Partner with stakeholders to translate analytical needs into scalable solutions.
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• Present findings and recommendations to business leaders and clients.

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Experience Requirements

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• Advanced expertise in statistics, forecasting, econometrics, and machine learning.
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• Strong programming experience with Python and SQL.
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• Experience with production data pipelines, cloud environments, CI/CD, Docker, GitHub and/or GitLab, and relational databases.
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• Expertise in one or more of: time series forecasting, Bayesian statistics, generalized linear models, econometric modeling, machine learning algorithms, optimization, and simulation.
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• 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.

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Education Requirements

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