Senior Data Scientist Retail To save time applying, Hormel Foods does not offer sponsorship of job applicants for employment-based visas for this position at this time. Hormel Foods Corporation is a global branded food company with over $12 billion in annual revenue across more than 80 countries worldwide. Its brands include Planters, Skippy, SPAM, Hormel Natural Choice, Applegate, Justin's, Wholly, Hormel Black Label, Columbus, Jennie-O, and more than 30 other beloved brands. The company lives by its purpose statement Inspired People. Inspired Food. to bring some of the world's most trusted and iconic brands to tables across the globe. What You Will Do As a Senior Data Scientist supporting our Retail Business Unit, you'll lead the development of advanced analytics solutions that improve how we partner with retailers and deliver value to consumers. You'll work cross-functionally to solve complex challenges in areas like demand forecasting, promotion optimization, and retail execution. Design, develop, and scale predictive and prescriptive models that support retail strategy and execution. Collaborate with sales, marketing, supply chain, and IT to identify high-impact analytics opportunities. Translate complex data into actionable insights and compelling visual stories for business stakeholders. Mentor and lead junior data scientists and foster a culture of innovation and continuous learning. Work with tools like Python, Google BigQuery, Oracle, Tableau, and Power BI to build scalable, production-ready solutions. What You Bring Required: Bachelor's degree in Data Science, Mathematics, Computer Science, or a related field. 7+ years of experience in data science, including model development and deployment. Strong programming skills and experience with large-scale data environments. Proven ability to translate business needs into data-driven solutions, especially in a CPG or retail context. Excellent communication and storytelling skills. Must be a Citizen or National of the United States, a lawful, permanent resident, or have authorization to work in the United States. Applicants must not now, or any time in the future, require sponsorship for an employment visa. Preferred: Master's degree in a quantitative field. Experience with Google Cloud Platform and Oracle databases. Familiarity with Python IDEs (e.g., PyCharm, Jupyter, Anaconda). Experience developing production-grade machine learning models. Proficiency in data visualization tools like Tableau or Power BI. Experience working with syndicated retail data (e.g., Nielsen, Circona) or POS data Benefits: Hormel Foods offers an excellent benefits package. Competitive base salary plus target incentive, discretionary annual merit increase, annual performance review, medical, dental, vision, non-contributory pension, profit sharing, 401(k) immediate eligible, stock purchase plan, relocation assistance, paid personal time (PTO), FREE two-year community/technical college tuition for children of employees, and more. Ready to Make a Difference? Join a company where your work will directly impact how millions of people experience our trusted brands. Apply today and help us continue our journey of Inspired People. Inspired Food. At Hormel Foods, base pay is one part of our total compensation package and is determined within a range. The base hiring pay range for this role is between $117,000 - $164,000 per year, and your actual base pay within that range will depend upon a variety of factors including, but not limited to, job-related knowledge, skill set, level of experience, and geographic market location. Hormel Foods Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.