Supply Chain Senior Data Scientist

ConAgra Foods • Chicago, IL

1d • $81,000 - $118,000 • Remote

About The Position

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.

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 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

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, and solution design
• Collaborate across functions to elevate the visibility, impact, and brand of the analytics and data science teams across the enterprise

Benefits

• Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement
• Wealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan
• Growth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement
• Balance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level