BayOne Solutions
Data Scientist - Economist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist - Economist position for a 6-month contract, offering a pay rate of "$X/hour". Work location is remote. Key skills include Data Science, Regression, and Clustering, with a focus on causal analysis and Bayesian Inference.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
Unknown
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🗓️ - Date
December 6, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Sunnyvale, CA
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🧠 - Skills detailed
#Clustering #Regression #Data Science
Role description
Implement sophisticated clustering algorithms on historical performance data to identify and validate optimal geo pair selections for testing, maximizing statistical power and experimental validity. Apply Time-Based Regression Matched Markets (TBR-MM) models to optimize investment allocation across various DMAs. Perform causal analysis with DiD, Synthetic Controls, and Time-Based Regression, quantifying incremental channel performance and supporting optimisation through iROS. Leverage Bayesian Inference for model estimations, ensuring robust uncertainty quantification and improving the stability and interpretability of causal effect results. Translate complex model outputs into clear, data-driven business recommendations for marketing stakeholders.
Implement sophisticated clustering algorithms on historical performance data to identify and validate optimal geo pair selections for testing, maximizing statistical power and experimental validity. Apply Time-Based Regression Matched Markets (TBR-MM) models to optimize investment allocation across various DMAs. Perform causal analysis with DiD, Synthetic Controls, and Time-Based Regression, quantifying incremental channel performance and supporting optimisation through iROS. Leverage Bayesian Inference for model estimations, ensuring robust uncertainty quantification and improving the stability and interpretability of causal effect results. Translate complex model outputs into clear, data-driven business recommendations for marketing stakeholders.
