Supply Chain Data Scientist
4 weeks ago
As a Supply Chain Senior Data Scientist at Conagra Brands, you will leverage your analytical and programming skills to drive data-driven solutions for our Supply Chain end-to-end. You will partner with cross-functional teams to develop and deploy data mining and advanced analytics to monitor, benchmark, and optimize business needs.
Key Responsibilities:
- Develop and deploy data mining and advanced analytics to monitor, benchmark, and optimize business needs
- Identify relationships and trends, perform statistical analysis, and implement machine learning algorithms for prediction, forecasting, and classification
- Develop and deploy models, simulation models, and other advanced analytics solutions to ensure data-driven decision-making to meet Supply Chain goals
- Advance our analytics and data-driven culture
Requirements:
- 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 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
What We Offer:
- Comprehensive healthcare plans
- Wellness incentive program
- Mental wellbeing support
- Fitness reimbursement
- Great pay
- Bonus incentive opportunity
- Matching 401(k) and stock purchase plan
- Career development opportunities
- Employee resource groups
- On-demand learning and tuition reimbursement
- Paid-time off
- Parental leave
- Flexible work-schedules
- Volunteer opportunities
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.
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