Senior Data Scientist, Supply Chain
AI summary of the role
Lead analytics projects in supply chain, focusing on Digital Yield intelligence and digital factory data products to support Project Catalyst.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Lead Digital Yield intelligence initiatives and enable digital factory data products for Project Catalyst
- Lead creation and improvement of analyses, reports, dashboards, and AI-driven agent capabilities
- Lead complex data requests and analytics projects with analytics and data science teams
- Drive business integration and adoption of analytics tools, insights, and data products
What you’ll bring
- Bachelor's degree
- Three or more years of experience in data science or advanced analytics
- Experience in Palantir or Databricks
- Experience delivering actionable business recommendations with cross-functional stakeholders
Technologies
Palantir · Databricks · digital factory · agent-driven capabilities · dashboards · analytics tools · statistical models
About Conagra Brands
Conagra sells branded frozen, grocery, snacks and foodservice products through iconic brands while reshaping toward higher-growth frozen and snacking platforms.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Reporting to the Manager Data Science, you will lead analytics projects within defined areas of expertise by researching, collecting, analyzing, and interpreting data to identify trends and deliver insights with actionable recommendations. You will define information requirements and collaborate with technology partners to design and implement dashboards, automated solutions, and digital factory data products, including Digital Yield intelligence and engineering Center of Excellence enablement, to support Project Catalyst programs and advance a self‑service analytics culture. A Taste of Your Responsibilities Lead Digital Yield intelligence initiatives, including the development and enablement of digital factory data products and the engineering Center of Excellence, to support Project Catalyst programs Lead the creation and continuous improvement of analyses, reports, insights,
More from the job description
Reporting to the Manager Data Science, you will lead analytics projects within defined areas of expertise by researching, collecting, analyzing, and interpreting data to identify trends and deliver insights with actionable recommendations. You will define information requirements and collaborate with technology partners to design and implement dashboards, automated solutions, and digital factory data products, including Digital Yield intelligence and engineering Center of Excellence enablement, to support Project Catalyst programs and advance a self‑service analytics culture. A Taste of Your Responsibilities Lead Digital Yield intelligence initiatives, including the development and enablement of digital factory data products and the engineering Center of Excellence, to support Project Catalyst programs Lead the creation and continuous improvement of analyses, reports, insights, dashboards, and future agent‑driven capabilities enabled by artificial intelligence for internal stakeholders and external customers Lead complex data requests and analytics projects in partnership with the broader analytics and data science teams Develop and deliver advanced reports, analyses, and dashboards that support informed decision‑making Drive business integration and adoption of analytics tools, insights, and data products Provide recommendations on analytical approaches, methodologies,
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