The Principal Data Scientist at Meijer leads the design and implementation of advanced machine learning and AI solutions to enhance customer loyalty, merchandising, marketing, and operational efficiency. This role partners cross-functionally with teams including product development, supply chain, and IT to deliver scalable, production-ready data science pipelines leveraging cutting-edge technologies. Additionally, the position fosters innovation, mentors data science teams, and drives strategic initiatives to maximize business value in the retail sector.
As a family company, we serve people and communities. When you work at Meijer, you’re provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family – take care of your career and your community!
Meijer Rewards
Weekly pay
Scheduling flexibility
Paid parental leave
Paid education assistance
Team member discount
Development programs for advancement and career growth
Please review the job profile below and apply today!
The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. Data Scientists on the team will drive customer loyalty, digital conversion, and system efficiencies by delivering innovative data driven solutions. Through these solutions, the data scientists drive material business value, mitigating business and operational risk, and significantly impacts the customer experience. This role works directly with product development, merchandising, marketing, operations, ITS, ecommerce, and vendor partners. The position will lead, consult or oversee multiple highly complex data science projects/programs/domains that have significant impacts and require in-depth technical knowledge across multiple specific architecture disciplines such as technology, solution, business, or information/data.What You'll Be Doing:
What You'll Bring With You:
Data Science, Machine Learning, Artificial Intelligence, Retail Analytics, Python, Azure ML, MLOps, Natural Language Processing, Data Pipelines, Agile Leadership
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