GAC Solutions
Sr Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Scientist with a contract length of "unknown", offering a pay rate of "unknown". Work location is "unknown". Key skills required include Azure ML, Databricks, A/B Testing, and experience in pricing and demand forecasting.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 6, 2026
🕒 - 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
Florida, United States
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🧠 - Skills detailed
#A/B Testing #API (Application Programming Interface) #Azure #Azure DevOps #Programming #Monitoring #Scala #ML (Machine Learning) #Forecasting #DevOps #Batch #Reinforcement Learning #Data Engineering #MLflow #Databricks #Data Science
Role description
Own end-to-end model development for pricing, demand forecasting, and elasticity estimation; productionize models in Azure ML and Databricks.
Implement prescriptive analytics through optimization with Linear Programming, Mixed Integer Programming or Reinforcement Learning.
Implement and maintain feature stores, model monitoring workflows, and drift checks using MLflow (metrics, alerts, lineage).
Design and execute A/B tests or quasi-experiments to measure revenue, pricing uplift, and PCP attach rate impact.
Apply SHAP/LIME and other model interpretability tools to explain drivers of model behavior to Revenue Management partners.
Contribute to CI/CD workflows (Azure DevOps), support data contracts with Data Engineering, and develop scalable API and batch-serving patterns.
Communicate insights, assumptions, risks, and trade-offs in clear, concise, and executive-ready narratives.
Own end-to-end model development for pricing, demand forecasting, and elasticity estimation; productionize models in Azure ML and Databricks.
Implement prescriptive analytics through optimization with Linear Programming, Mixed Integer Programming or Reinforcement Learning.
Implement and maintain feature stores, model monitoring workflows, and drift checks using MLflow (metrics, alerts, lineage).
Design and execute A/B tests or quasi-experiments to measure revenue, pricing uplift, and PCP attach rate impact.
Apply SHAP/LIME and other model interpretability tools to explain drivers of model behavior to Revenue Management partners.
Contribute to CI/CD workflows (Azure DevOps), support data contracts with Data Engineering, and develop scalable API and batch-serving patterns.
Communicate insights, assumptions, risks, and trade-offs in clear, concise, and executive-ready narratives.
