About this opportunity
General Mills, Inc. lists this Sr Data Scientist (Operations Research) opportunity in minneapolis, Minnesota. Review the employer’s description below for duties, qualifications and application requirements.
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.**급여 범위**이 직책의 급여 범위는 다음과 같습니다.$110,800 - $184,800 AnnualGeneral Mills에서는 구성원의 경력에 따라 현재 직무에 대한 성과와 기술을 반영하여 급여를 지급하고자 노력합니다. 이 직무의 급여 범위는 학력, 기술, 경력, 인증 등을 포함하되 이에 국한되지 않고 채용 결정에 고려되는 수많은 요소를 나타냅니다. 따라서 합격자의 급여는 명시된 범위 내에서 결정될 수 있습니다. General Mills는 기본 급여 외에도 전반적인 복지에 초점을 맞춘 경쟁력 있는 종합 보상 패키지를 제공합니다. 우리는 건강 혜택, 은퇴 및 재정적 복지, 휴가 프로그램, 복지 지원 및 부가 혜택의 토대를 제공하게 되어 자랑스럽게 생각합니다. 혜택은 직무, 국가, 지역, 노조 여부 및 기타 고용 상태 요인에 따라 달라질 수 있습니다. 귀하는 연간 인센티브 프로그램 참여 대상이 될 수도 있습니다. 인센티브 지급 여부는 개인 및 조직 성과 등 다양한 요인에 따라 달라집니다.
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Worksite address
minneapolis, MN, 55400, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.