Data Scientist

Job Description

This person will be joining the Data Science organization and will be supporting revenue management and pricing. This person will be focused on dynamic pricing; building optimization structures, working with machine learning models, conducting forecasting and operational research. This person will be working across teams and should have experience gathering requirements and providing reporting as it relates to pricing.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• 2+ years of experience building and deploying ML models in enterprise environments
• Proficiency in PySpark, Python, and ML frameworks (e.g., scikit-learn, Tensor Flow, PyTorch)
• Strong background in machine learning; building optimization structures, creating and assessing models
• Strong coding skills and experience with scalable data workflows and model deployment and experience working with recommendation modeling
• Experience collaborating with stakeholders- gathering requirements and reporting on data
• Experience with linear programming, predictive analytics, forecasting, dynamic pricing, time-series forecasting
• Experience with operational research
• Hands-on experience with Databricks, Azure ML, AWS Sage Maker, or Google Vertex AI