Reporting to the Manager of Supply Chain Analytics and Data Science you will utilize analytical, statistical and programming skills to collect, analyze and interpret large datasets to help develop data and value-driven solutions to solve challenges for our Supply Chain end to end. You will join a newly formed team transforming our analytical and digital culture. Daily responsibilities include partnering with cross-functional teams across Conagra to hypothesize, formulate, develop, deliver and improve data science products to help improve and advance data-driven insights, decisions, simulation, actions and automation

What You'll Do:

• Develop and deploy data mining and advanced analytics to monitor, benchmark, and optimize business needs, identifying areas for improvement and deeper, root-cause analysis
• Develop and deploy models, simulation models, and other advanced analytics solutions to ensure data-driven decision-making to meet Supply Chain goals
• Apply business acumen to continuously develop new features to improve analytical models
• Partner with cross-functional business stakeholders on assumptions, opportunities, and solutions
• Collaborate to guide standards, best practices, solution innovation, future solution needs and keep current with industry trends
• Identify relationships and trends, perform statistical analysis and implement machine learning algorithms for prediction, forecasting and classification
• Advance our analytics and data-driven culture

You'll Have:

• Bachelor's Degree
• 3+ years of experience developing and applying operational research models, data mining applications, and advanced analytics
• Prior CPG or Supply Chain experience
• Experience solving problems with an emphasis on product development
• Experience using statistical computer languages (R, Python, SQL) to manipulate data and draw insights from large datasets
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks) and their real-world advantages/drawbacks
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage) and experience with applications
• Hands-on experience with Databricks, Snowflake and other Cloud platforms
• A drive to learn and master new technologies and techniques
• Excellent written and verbal communication skills for coordinating across teams
• We ask that you travel up to 20-30% to Omaha or Chicago
• Number of days in the office: 3

Relocation assistance is available for this position. Preference will be given to local candidates

At this time, we require applicants for this role to be legally authorized to work in the United States without requiring employer sponsorship either now or in the future.

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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:

Conagra Brands is one of North America's leading branded food companies. We have a rich heritage of making great food, and a team that’s passionate about innovation and growth. Conagra offers choices for every occasion through iconic brands, such as Birds Eye®, Marie Callender's®, Banquet®, Healthy Choice®, Slim Jim®, Reddi-wip®, and Vlasic®, and emerging brands, including Angie's® BOOMCHICKAPOP®, Duke's®, Earth Balance®, Gardein®, and Frontera®.

We pride ourselves on having the most impactful, energized and inclusive culture in the food industry. For more information, visit www.conagrabrands.com.

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. ​