Senior Data Scientist, Supply Chain

Role Overview

• Lead Digital Yield intelligence initiatives
• Develop and enable digital factory data products
• Support Project Catalyst programs
• Lead creation and improvement of analyses, reports, insights, dashboard
• Drive business integration and adoption of analytics tools
• Provide recommendations on analytical approaches
• Collaborate across functions to elevate visibility and impact of analytics teams
• Up to 30% travel to manufacturing locations

Requirements

• Bachelor’s degree
• Three or more years of experience in a data science or advanced analytics function, with Consumer Packaged Goods experience preferred
• Experience in Palantir or Databricks
• Experience delivering actionable business recommendations and partnering with cross‑functional stakeholders
• Demonstrated track record of learning and applying modern analytics tools, technologies, and frameworks
• Familiarity with a range of analytical and statistical models

Benefits

• Comprehensive healthcare plans
• Wellness incentive program
• Mental wellbeing support
• Fitness reimbursement
• Bonus incentive opportunity
• Matching 401(k)
• Stock purchase plan
• Career development opportunities
• Employee resource groups
• On-demand learning
• Tuition reimbursement
• Paid-time off
• Parental leave
• Flexible work-schedules
• Volunteer opportunities