Job Description

Description

As stated in the Land O'Lakes Job Posting policy, all employees who post for an internal opening must inform their current manager at the time they apply. ​ Our growth relies on our extraordinary talent. Unlock your greatest potential at Land O'Lakes by continuing to make a difference, driving results and growing your career. Senior Data Scientist NO RELOCATION IS PROVIDED FOR THIS ROLE AND THE SELECTED CANDIDATE MUST LIVE WITHIN A COMMUTABLE DISTANCE OF ARDEN HILLS, MN Land O'Lakes, Inc., one of America's premier agribusiness and food companies, is a member-owned cooperative with industry-leading operations that span the spectrum from agricultural production to consumer foods. With sales of $15 billion, Land O'Lakes is one of the nation's largest cooperatives, ranking 216 on the Fortune 500. Building on a legacy of more than 97 years of operation, Land O'Lakes today operates some of the most respected brands in agribusiness and food production including LAND O LAKES® Dairy Foods, Purina Animal Nutrition, WinField United and Land O'Lakes Truterra. The company does business in all 50 states and more than 60 countries. Land O'Lakes, Inc. corporate headquarters are located in Arden Hills, Minn. The Senior Data Scientist is responsible for identifying, designing, and building advanced analytic solutions across the Dairy Foods business unit. The Senior Data Scientist will be a key contributor in the Dairy Foods Data & Analytics Product Team, partnering closely with business teams and IT colleagues to drive data-driven decision making. This position will translate business requirements into technical analyses and models to drive revenue, decrease costs, and/or optimize business results. The Senior Data Scientist will identify data science use cases, conduct exploratory data analysis, and implement machine learning algorithms and techniques. The Sr Data Scientist will have excellent communication skills and be comfortable communicating across a broad range of technical and non-technical audiences in a variety of settings. Experience-Education (Required): • Advanced degree in Business Analytics, Mathematics or related discipline; or an equivalent combination of demonstrated skills or experience • 5+ years professional experience in designing and developing analytics solutions • 3+ years’ experience in statistical programming such as Python, R, SAS, SPSS, etc. • Demonstrated knowledge of statistical and analytic techniques including regression, clustering, classification, etc. • Demonstrated ability to translate between business requirements and technical specifications and to communicate results and findings with non-technical business partners • Experience using traditional and modern platforms including cloud storage and compute technologies • Intermediate to Advanced SQL skills Competencies-Skills (Required): • Identify key business requirements that will drive the design, development, implementation, and delivery of models, quantitative analyses, and other analytical solutions • Conceptualize, design, and develop analytical solutions that are stable and scalable to meet business needs using the latest technologies • Partner closely with Data Architecture, Data Management, and Data Visualization teams to build optimal analytical solutions that lead to the desired business outcomes • Collaborate with and influence multiple stakeholder groups to ensure alignment with standards, guidelines and best practices • Provide thought leadership and education to business partners regarding analytic best practices • Enable analytic end-users by onboarding new end-users to the analytic platforms while providing recurring training workshops, prototype sessions and holding office hours • Aid in enabling enterprise roll out of advanced analytic capabilities • Identify, report, and escalate risks to manager and stakeholders appropriately Experience-Education (Preferred): • Master’s degree in Business Analytics, Computer Science, Mathematics, Statistics, or a related discipline; or an equivalent combination of demonstrated skills and experience • Experience working with modern data platforms like Databricks, Snowflake, Power BI. Competencies-Skills (Preferred): • CPG and manufacturing industry experience • Experience with cloud-based model training and production • Experience with Docker containerization • Experience working in a scrum/agile team; utilizing tools such as Azure Devops, Jira, version1 The salary range for this role is $105,040 - $157,560 Grade: E13