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.
A Taste of Your Responsibilities
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
Ingredients Required for Your Success
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 MapReduce 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
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Compensation
Pay Range:$63,000-$93,000The 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.