Senior Data Scientist, Supply Chain

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, and solution design

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

Up to 30% travel to manufacturing locations, Omaha, NE and Chicago, IL offices

Ingredients Required for Your Success

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

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Compensation

Pay Range:$82,000-$120,000

The annual salary listed above is the expected offering for this position. An employee’s actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees’ equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees.

Our Benefits

We care about your total well-being and will support you with the following, subject to your location and role:

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

Our Company

At Conagra Brands, we have a rich heritage of making great food. We aspire to have the most impactful, energized and inclusive culture in food. As a member of our 18,000+ person team across 40+ locations, you are empowered to reach your potential, make an impact and own your career. We're in the business of building champions – within our people and our iconic brands like Birds Eye®, Slim Jim® and Reddi-Wip®.

Our focus on innovation extends beyond making great food, it also reflects our commitment to embracing new solutions that positively impact our team, the communities we serve and the health of our planet. Foodies Welcome.

Conagra Brands is an equal opportunity employer and considers qualified applicants for employment without regard to sex, race, color, religion, ethnic or national origin, gender, sexual orientation, gender identity or expression, age, pregnancy, leave status, disability, veteran status, genetic information and/or any other characteristic or status protected by national, federal, state or local law. Reasonable accommodation may be made upon request.