Supply Chain Data Scientist

Reporting to the Manager of Data Science, you will help build advanced data and analytics products using data science and machine learning to support the end‑to‑end supply chain. You will bring creativity and technical expertise to assess business challenges and enable the development of transformative data solutions. You will partner closely with team members to hypothesize, design, develop, and continuously improve data science products that advance data‑driven decision‑making and automation.

• Develop and deploy data mining and advanced analytics solutions to monitor, benchmark, and enhance business outcomes, including identifying improvement opportunities and performing root‑cause analysis
• Develop and deploy predictive models, simulation models, and other advanced analytics solutions to support data‑driven decisions and business goals
• Apply business knowledge to continuously enhance analytical models through new features and improvements
• Partner with cross‑functional stakeholders to align on assumptions, identify opportunities, and deliver scalable solutions
• Collaborate with peers to establish standards, promote best practices, drive solution innovation, and identify future analytical needs while staying current with industry trends
• Identify relationships and trends through statistical analysis and implement machine learning techniques for prediction, forecasting, and classification
• Advance analytics maturity and strengthen a data‑driven culture across the organization

• Bachelor’s degree
• One or more years of experience using Structured Query Language
• One or more years of experience developing and applying operational research models, data mining applications, or advanced analytics solutions
• Coding experience in Python or R programming languages with interest in learning additional languages
• Experience applying machine learning techniques such as clustering, time series analysis, classification, regression, anomaly detection, simulation, and optimization
• Experience working with large‑scale data processing tools such as Hadoop, Spark, or Map Reduce is preferred
• Experience drawing insights and solving problems using large and diverse data sets
• Demonstrated problem solving in complex environments with innovative solutions and actionable outcomes
• Willingness to travel 20–30 percent

Number of Days in Office: 3

Pay Range: $63,000–$93,000

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.

• 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

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.