Sr. Data Scientist - Supply Chain Operations Research (Minneapolis Preferred, Remote Eligible)

JOB OVERVIEW:

Do you see patterns or opportunities that others don't see? Do you enjoy asking questions and analyzing data to deepen your knowledge? Do you like to challenge historical assumptions and recommend new ways to drive action based on data-driven insights? Do you like to find the best way to tackle a problem and share the approach with others?

To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with product owners, business partners, and other Data Scientists in the supply chain space to define a technical problem statement and hypothesis to test. In addition, you will develop efficient and accurate analytical models that mimic business decisions.

KEY ACCOUNTABILITIES

• Work closely with data science leadership, machine learning engineering, and business partners/product owners to develop optimization and machine learning models using best-in-class tools and technology.
• Provide data science leadership within a product team through strong partnership, actionable insights, strategic and tactical technical roadmap recommendations.
• Construct production-ready, reusable, large-scale or scalable complex optimization, simulation & machine learning models that provide real-time insights aligning with General Mills technology standards.
• Design and development of modelling framework and architecture for deterministic/combinatorial optimization and advanced machine learning to solve complex supply chain problems in a variety of areas like supply-demand planning, procurement, manufacturing, logistics, etc.

• Be a storyteller to explain the 'why and how' of data-driven recommendations to cross-functional teams.

• Responsible for monitoring and improvement of model performance metrics in terms of accuracy, optimal / near optimal recommendations, with feedback incorporated from business partners.
• Design, prototype, and build next-generation supply chain engines and services delivering productivity improvement and cost reductions using advanced modelling expertise and literature research.
• Be a part of the team, collaborate, ask questions, engage, and solicit feedback from other Data Scientists
• In addition to project-based work, will be expected to participate in activities such as technical standards definition and modelling documentation
  

MINIMUM QUALIFICATIONS

• 4+ years of relevant data science experience with at least 2 years of experience in optimization
• Bachelor's Degree required in any of the quantitative fields like operations, research/statistics / industrial engineering, etc.
• High proficiency with Python programming in developing optimization models using different types of commercial solver suites.
• Hands-on experience building IP / MIP models with sound knowledge of supporting algorithms.
• Comfortable working with large and dynamic Data Frames & writing complex SQL queries.
• Highly adaptable, curious, and willing to work independently on complex and challenging problems.
• Bias for action with the ability to deliver outstanding results through task prioritization and time management.

PREFERRED QUALIFICATIONS

• Master's degree in any of the quantitative fields (Operations research / Statistics / Industrial engineering) or computer science with commensurate work experience in supply chain technology or data science
• Relevant experience in Data Science with a preference for supply chain optimization/operations research experience
• Experience with Google Cloud Platform or other cloud platforms
• Experience in building optimization and simulation models in supply chain and logistics operations/warehouse using a commercial solver engine like Gurobi on a cloud stack is a plus.

ADDITIONAL CONSIDERATIONS

• The preferred location for this role is Minneapolis, MN; however, remote work-at-home applications within the United States will be considered.
• Relocation or international remote working arrangements (outside of the US) will not be considered.