Data Scientist, Product to Market Optimization

What you'll do

• Develop and test machine learning, optimization, and statistical models for retail product-to-market problems.
• Analyze large datasets and develop analytical solutions using Python and SQL.
• Write reliable, maintainable code and contribute to testing, documentation, and code management.
• Evaluate model performance and measure business impact using appropriate statistical methods.
• Troubleshoot, improve, and operationalize analytical solutions with senior data scientists.
• Communicate analytical findings and requirements to business, product, and engineering partners.

What we're looking for

• Master’s degree in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics/Statistics, Data Science, or a related quantitative field.
• 2 to 3 years of experience in data science, machine learning, operations research, or applied analytics.
• Experience working on retail, supply chain, pricing, inventory, merchandising, or related business problems.
• Strong foundation in machine learning, statistics, and quantitative problem solving.
• Hands-on proficiency in Python and SQL.
• Strong analytical, communication, and collaboration skills.
• Experience with mathematical optimization, including linear or mixed-integer programming, and tools such as Gurobi, Pyomo, OR-Tools, or equivalent (preferred).
• Exposure to PySpark, Databricks, GCP, Git, or production data science environments (preferred).