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!

**This position is Hybrid and will require you to be on site in our Grand Rapids Corporate office 3 days a week (Monday-Wednesday)**

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.

What You’ll Be Doing:

• Deliver against the overall data science strategy to drive in-store and digital merchandising, marketing, customer loyalty, and operational performance
  • Partner with product development to define requirements which meet system and customer experience needs for data science projects
  • Partner with Merchandising, Supply Chain, Operations and customer insights to understand the journey that will be improved with the data science deliverables
  • Build prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs
  • Partner with product development and technology teams to deploy pipelines into production MLOps environment following Safe Agile methodology

• Proactively identify data driven solutions for strategic cross-functional initiatives, develop and present business cases, and gain stakeholder alignment of solution
• Responsible to define, document and follow best practices and approve for ML/AI development at Meijer
• Own communication with data consumers (internal and external) to ensure they understand the data science products, have the proper training, and are following the best practices in application of data science products
• Define and analyze Key Performance Indicators to monitor the usage, adoption, health and value of the data products
• Identify and scope, in conjunction with IT, the architecture of systems and environment needs to ensure that data science systems can deliver against strategy
• Build and maintain relationships with key partners, suppliers and industry associations and continue to advance data science capabilities, knowledge and impactThis job profile is not meant to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required

What You’ll Be Doing:

• Advanced Degree (MA/MS, PhD) in Mathematics, Statistics, Economics, or related quantitative field
• Certifications: Azure Data Science Associate, Azure AI, Safe Agile
• 6+ years of relevant data science experience in an applied role – preferable w/in retail, logistics, supply chain or CPG
• Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK
• Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse, MLOps, GitHub
• Solid experience working with large datasets and developing ML/AI systems such as: natural language processing, speech/text/image recognition, supervised and unsupervised learning models, forecasting and/or econometric time series models
• Proactive and action oriented
• Ability to collaborate with, and present to internal and external partners
• Able to learn company systems, processes and tools, and identify opportunities to improve
• Detail oriented and organized
• Ability to meet production deadlines
• Strong communications, interpersonal and organizational skills
• Excellent written and verbal communication skills
• Understanding of intellectual property rights, compliance and enforcement