General Mills

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

REMOTEPosted 19 days ago

Job summary

  • Job post source

    This job is directly from General Mills

  • Job overview

    The Sr. Data Scientist role at General Mills focuses on applying advanced analytics and machine learning to optimize supply chain operations, driving data-driven decision making and productivity improvements.

  • Responsibilities and impact

    The role involves developing optimization and machine learning models, collaborating with business partners and data science teams, building scalable analytics engines, monitoring model performance, and communicating insights to cross-functional teams.

  • Compensation and benefits

    The salary range is $108,900 to $181,700 annually, with a competitive total rewards package including health benefits, retirement plans, time off, wellbeing support, perks, and eligibility for an annual incentive program.

  • Experience and skills

    Candidates need 4+ years of data science experience with 2+ years in optimization, proficiency in Python and SQL, experience with commercial solver suites, and a bachelor's degree in a quantitative field; a master's degree and supply chain experience are preferred.

  • Company information

    General Mills is a major food company focused on delivering products people love, emphasizing data-driven solutions in supply chain operations.

  • Job location and travel

    The preferred location is Minneapolis, MN, but remote work within the U.S. is considered; relocation or international remote work is not offered.

  • Unique job features

    The role offers opportunities to work on next-generation supply chain optimization models using advanced machine learning and commercial solvers, with a focus on real-time insights and collaboration across teams.

Company overview

General Mills is a leading global food company that produces a wide range of consumer foods, including cereals, snacks, yogurt, and convenience meals. They generate revenue primarily through the sale of their well-known brands such as Cheerios, Betty Crocker, and Haagen-Dazs, distributed in over 100 countries. Founded in 1928, General Mills has a rich history of innovation and acquisitions, including the purchase of Blue Buffalo Pet Products in 2018, which expanded their portfolio into the pet food market. The company is also committed to sustainability and community engagement, aiming to reduce their environmental footprint and support global food security initiatives.

How to land this job

  • Tailor your resume to emphasize your expertise in machine learning, optimization, and supply chain operations research, highlighting your experience with Python programming and commercial solver suites like Gurobi.

  • Showcase your ability to build scalable, production-ready optimization and simulation models, and your skill in collaborating with cross-functional teams to translate complex data into actionable business insights.

  • Apply through multiple platforms including General Mills' corporate careers page and LinkedIn to maximize your application visibility for this senior data scientist role.

  • Connect with current General Mills employees in the supply chain or data science divisions on LinkedIn; start conversations by referencing recent company projects, asking about their experience with supply chain analytics, or expressing enthusiasm about General Mills’ innovation in data-driven decision making.

  • Optimize your resume for ATS by incorporating keywords from the job description such as 'optimization models,' 'machine learning,' 'supply chain,' 'Python,' 'commercial solver suites,' and 'data-driven insights' to ensure it passes automated screenings.

  • Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify the best job portals, and find relevant LinkedIn contacts, allowing you to focus your energy on preparing for interviews and networking effectively.

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