Principal Data Scientist

What You’ll Be Doing

• Architect AI-Driven Decision Systems: Design and implement RAG (Retrieval-Augmented Generation) systems that ground LLMs in proprietary supply chain data to provide accurate, real-time strategic recommendations.
• Optimize Complex Operations: Use Gurobi to solve high-dimensional supply chain constraints, moving beyond simple heuristics to find the mathematically "best" path for our global operations.
• Accelerate with AI-Native Workflows: Utilize advanced coding assistants like Claude Code within VS Code to automate boilerplate and focus your energy on strategic problem-solving.
• Drive Actionable Insights & Influencing: Lead end-to-end analytical projects, moving beyond "what happened" to prescribing solutions and proving the causal ROI of specific business interventions.
• Master Executive Storytelling: Use AI to help synthesize complex model outputs into high-impact narratives and "What-If" simulators that speak the language of the C-suite.
• Partner Across the Ecosystem: Collaborate with our Innovation and Enablement teams to integrate models into a robust, strategically aligned autonomous ecosystem.
• Ensure Governance & Scalability: Build solutions that are scalable and can be governed to measure model drift and impact.

Where you'll be working

This hybrid role will have a defined work location that includes work from home and assigned office days as set by the manager.

What We're Looking For

You are a "Strategic Scientist" who sees AI as a force multiplier. You have the technical depth to build a complex model from scratch, but the business acumen to know when an explainable model is the more powerful choice for a stakeholder. You thrive on the challenge of influencing a "room full of skeptics" with data-backed conviction.

You'll Need To Have

• Bachelor's degree or four or more years of work experience.
• Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
• Experience as a data scientist, analyst, or statistical modeler.
• Experience using LLMs or coding agents (e.g., Claude Code, GitHub Copilot) to enhance productivity and code quality.
• Experience with Google BigQuery, Teradata, Python/R, SQL, Alteryx, and visualization tools like Tableau.

Even better if you have one or more of the following

• Degree in business intelligence and analytics, computer science, or mathematics.
• Master's degree.
• Proven track record of presenting complex technical findings to non-technical senior executives.
• Experience with Data Warehousing or Teradata SQL.
• Knowledge of distributed computing tools, like Hive or Spark.
• Experience with SiteCatalyst/Clickstream.
• Experience with programming languages, like Java or Scala.

Where you'll be working

In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

Benefits

• Health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance.
• Matched 401(k) savings plan.
• Up to 8 company paid holidays per year and up to 6 personal days per year.
• Paid parental leave, adoption assistance and tuition assistance.
• Newly hired employees receive up to 15 days of vacation per year, which grows with additional service.

Pay

• This is an incentive based position with the potential to earn more.
• The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $120,500.00 - $231,000.00.

Schedule

• Scheduled Weekly Hours: 40

This response is AI-generated, for reference only.