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 selfservice 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 agentdriven 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 decisionmaking

• 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

• Bachelors 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 crossfunctional 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

The annual salary listed above is the expected offering for this position. An employees actual annual salary will be based on but not limited to: location relevant experience/level and skillset while balancing internal Conagra employees 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 18000 person team across 40 locations you are empowered to reach your potential make an impact and own your career. Were 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.