We are seeking a Senior Data Scientist to lead cross-functional AI/ML initiatives and drive our enterprise-wide AI vision and strategy. This role bridges tactical execution and long-term strategic planning, requiring a visionary who can work both independently and collaboratively with data analytics professionals across and outside our client AI/ML solutions.

In this role you will play a key role in:

• Owning end-to-end model development for pricing, demand forecasting, and elasticity estimation; productionizing models in Azure ML and Databricks
• Implementing prescriptive analytics through optimization with Linear Programming, Mixed Integer Programming or Reinforcement Learning
• Implementing and maintaining feature stores, model monitoring workflows, and drift checks using MLflow (metrics, alerts, lineage)
• Designing and executing A/B tests or quasi-experiments to measure revenue, pricing uplift, and PCP attach rate impact
• Applying SHAP/LIME and other model interpretability tools to explain drivers of model behavior to Revenue Management partners

Your profile:

• 2–4 years of hands-on Data Science experience delivering production-grade ML solutions
• Proficiency in Python (scikit-learn, XGBoost), Spark/Delta, SQL, Azure ML, Databricks, and MLflow; familiarity with PyTorch or TensorFlow is a plus
• Strong understanding of experimental design, statistical testing, and causal inference basics
• Ability to translate technical concepts into actionable business insights; skilled in stakeholder alignment and cross-functional communication
• Experience communicating insights, assumptions, risks, and trade-offs in clear, concise, and executive-ready narratives

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