PRINCIPAL, DATA SCIENTIST

Requirements

• Masters with > 16 years OR Ph.D. with > 15 years of relevant experience
• Minimum 10 years of experience as a data science technical lead
• Deep experience in building data science solution in areas like fraud prevention, forecasting, shrink and waste reduction, inventory management, recommendation, assortment and price optimization
• Ability to lead multiple data science projects end to end
• Strong experience in machine learning: Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation, Gen-AI
• Ability to scale and deploy data science solutions
• Strong Experience with one or more of Python and R
• Experience in GCP/Azure
• Strong Experience in Python, PySpark
• Google Cloud platform, Vertex AI, Kubeflow, model deployment
• Strong Experience with big data platforms – Hadoop (Hive, Map Reduce, HQL, Scala)
• Experience with GPU/CUDA for computational efficiency

Benefits

• Incentive awards for performance
• Maternity and parental leave
• PTO
• Health benefits