Senior R&D Data Scientist

OVERVIEW General Mills is seeking a Data Scientist to join the Statistics and Data Science team within the Innovation, Technology, and Quality (ITQ) function. The ITQ function is the center of science innovation, product development, and quality activities for the company. In this role, you will be a key player on a team that is solving business problems within a data-rich science and engineering environment. You will have the opportunity to blend computer science, statistics, mathematics, modeling, and technology to transform data into actionable insights that drive business results. You will join a successful, multi-talented, analytics team and collaborate with partners inside and outside General Mills to further the growth and impact of data science on our business. KEY ACCOUNTABILITIES Work with teams to solve a wide range of problems using data. This includes an emphasis on nutrition science, epidemiology, and health research, as well as applications in consumer research, scientific experimentation, and manufacturing operations. Consult with scientists and engineers to translate and summarize complex analyses into actionable insights and recommendations that directly solve problems and influence business decisions. Develop statistical and machine learning models with Python, R, or other languages and tools. You will have the opportunity to scale analytics solutions for big data within Hadoop and Google Cloud Platform environments, working with a wide range of open-source tools. MINIMUM QUALIFICATIONS Master's degree in Statistics, Biostatistics, Computer Science, or related quantitative field; or MS in the sciences, with education in Statistics/Data Science. At least three years of analytics experience. Demonstrated ability to solve business or technical problems. Good communication skills, with the ability to collaborate and build relationships in-person and virtually. Experience in using mathematics, statistics, modeling, business analysis, and technology to transform data into advanced analytic solutions Proficiency with SQL scripting languages, and experience with relational databases such as Oracle and Hive. Experience with an analytics programming language (e.g., R or Python), and with source code repositories such as git. PREFERRED QUALIFICATIONS M.S. or Ph.D. in Biostatistics, with experience in nutrition and health applications. Experience working within a global team. Familiarity with a cloud computing platform (GCP, AWS, Azure). Experience working with in an R&D or Science organization, or experience with food industry applications. COMPANY OVERVIEW We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.