Sr Data Scientist (Operations Research)

General Mills

• $110K — $184K *
Food & Beverages
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in data science, decision sciences, operations research, or a related quantitative field; 3+ years for PhD candidates.
  • Master's or PhD in operations research, industrial engineering, computer science, or a similar quantitative field.
  • Strong SQL and Python skills, with complex database expertise.
  • Experience with large-scale optimization, machine learning, and data visualization.
  • Sound quantitative and analytical judgment to identify and solve data-related issues.
  • Excellent communication and collaboration skills with an emphasis on customer needs.

Responsibilities

  • Partner with leadership and teams to develop advanced optimization models.
  • Provide actionable data science insights and guide strategic technical roadmaps.
  • Design modeling frameworks for complex business issues.
  • Build scalable operations research models for real-time insights.
  • Evaluate and recommend new technologies for optimal business value.
  • Monitor and enhance model performance with feedback.
  • Frame business challenges as statistical problems and devise timely solutions.
  • Communicate analytical recommendations clearly and effectively.
  • Educate teams on data-driven decision-making's importance.
  • Develop long-term data science processes and standards.

Benefits

  • Comprehensive health benefits.
  • Retirement and financial wellbeing support.
  • Generous time off programs.
  • Wellbeing support and perks.
  • Participation in an annual incentive program based on performance.
Full Job Description


At General Mills, data helps us make better decisions and create food people love. As a Senior Data Scientist, you will work on challenging, large-scale projects with significant business impact. You will challenge historical assumptions, translate business needs into analytical solutions, and recommend new ways to drive action through data-driven insights.

In this role, you will apply expertise in optimization, simulation, machine learning, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with product owners, business partners, AI engineers, and other Data Scientists to define technical problem statements, test hypotheses, and develop efficient, accurate analytical models that support business decisions.

What You'll Do
  • Partner with data science leadership, AI engineering, business partners, and product owners to develop optimization models using leading tools and technologies.
  • Provide data science leadership within a product team through strong partnership, actionable insights, and strategic and tactical technical roadmap recommendations.
  • Design and develop modeling frameworks and architectures for deterministic and combinatorial optimization, advanced machine learning, and other complex business problems.
  • Build production-ready, reusable, large-scale or scalable operations research models that deliver real-time insights and align with General Mills technology standards.
  • Evaluate emerging technologies and recommend solutions that balance effort, quality, scalability, and business value.
  • Monitor and improve model performance, optimality, recommendation quality, and other relevant metrics, incorporating feedback from business partners.
  • Apply critical thinking to frame business needs as statistical or analytical problems and develop solutions that balance technical completeness, complexity, and timely value delivery.
  • Clearly communicate the why and how behind recommendations to build trust and understanding in analytical solutions.
  • Advocate for and educate others on the value of data-driven decision-making and analytical methods.
  • Identify and develop long-term data science processes, frameworks, tools, and standards.
  • Collaborate with other Data Scientists by asking questions, engaging in shared problem-solving, and actively soliciting and providing feedback.


Required Qualifications
  • 5+ years of experience working in data science, decision sciences, operations research, or a closely related quantitative field; 3+ years may be considered for candidates with a PhD.
  • Master's or PhD degree in operations research, industrial engineering, computer science, or a closely related quantitative field.
  • Strong proficiency in SQL and Python, with a solid understanding of complex databases.
  • Experience with large-scale optimization, machine learning, and data visualization.
  • Strong quantitative and analytical judgment, including the ability to identify questionable data, investigate root causes, and develop practical solutions.
  • Strong communication and collaboration skills, with the ability to understand customer needs and deliver solutions aligned with business priorities.

Preferred Qualifications
  • Applied experience in business operations, commercial functions, or a related business area.


Additional Considerations
  • Applicants must be currently authorized to work in the U.S. General Mills will not sponsor applicants for a U.S. work visa.

SALARY RANGE

The salary range for this position is:
$110,800 - $184,800 Annual
At General Mills we strive for each employee's pay at any point in their career to reflect their experiences performance and skills for their current role. The salary range for this role represents the numerous factors considered in the hiring decisions including, but not limited to, educations, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.

Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well-being. We are proud to offer a foundation of health benefits, retirement and financial wellbeing, time off programs, wellbeing support and perks. Benefits may vary by role, country, region, union status, and other employment status factors. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including, individual and organizational performance.

ELIGIBILITY

Applicants must meet a minimum 18-year age qualification.

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