Principal Data Scientist

Overview

Lead advanced analytics projects for program and promotion design, ROI measurement, pricing, segmentation, and predictive analytics. The role focuses on optimizing promotional spend and improving business activities through data science.

What you'll do

• Lead customer discussions to uncover needs and design analytics solutions.
• Measure the effectiveness of rebates, media spend, pricing, and sales force activities.
• Manage data preparation, analysis design, implementation, and results presentation.
• Collaborate with internal, descriptive analytics, and cross-functional teams.
• Introduce new data science expertise and approaches to the team.
• Guide junior members on problem formulation, modeling, refinement, and results storyboarding.
• Align consistently with team members in Greenfield, Indiana.

What you'll need

• 6+ years of experience in advanced analytics or commercial effectiveness.
• Bachelor's degree in a quantitative or management field.
• Expertise in A/B testing, regression, clustering, classification, decision trees, and forecasting.
• Expertise in probability models, market basket analysis, churn modeling, segmentation, and customer analytics.
• Advanced skills in Python, R, and Excel.
• Strong analytical, problem-solving, written, and verbal communication skills.
• Proficiency in PowerPoint and storyboarding.

Nice to have

• Master's degree.
• Experience with Tableau and SQL.
• Experience with Azure ML and model deployment.
• Experience with GitHub.
• Project management experience across multiple business functions.
• Pharma or retail domain experience.

Details

• Location: Bangalore, India.
• Travel: 0%.