Senior Data and Applied Scientist

📋 Description

• Design, build, and maintain predictive ML models and simulations.
• Communicate model improvements, data needs, and opportunities across teams.
• Continuously optimize ML model quality.
• Research new data sources, feature engineering, and robust pipelines.
• Analyze large datasets to extract insights guiding decisions.
• Collaborate with data science teams across regions (US/India).

🎯 Requirements

• Bachelor's or Master's in data science, CS, statistics, economics, or related field.
• 3-6 years in building/deploying ML solutions and simulations.
• 1-3 years in logistics/operations preferred.
• Excellent communication across departments with ML knowledge.
• Python and SQL; Pandas, NumPy, Scikit-Learn, XGBoost.
• In-depth ML techniques incl. linear and tree-based models and metrics.