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Data Scientist

Meijer

Grand Rapids, MI · HybridFull-timeSeen 4w agoSeen in employer's feed 6 days ago

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At a glance

Compensation
No compensation found
Location
Grand Rapids, MIHybrid
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Master's degree

Job overview

The Data Scientist joins Meijer’s Pharmacy Analytics team to develop and integrate analytics for pharmacy operations. The role builds data-driven solutions using statistics, machine learning, and artificial intelligence to support patient experience, customer loyalty, and operational performance. It works with business, technology, and vendor partners to develop and deploy data science pipelines, monitor product value, and advance the team’s capabilities.

Skills & qualifications

RequiredNice to have

Skills

PythonDatabricksAzure MLAzure Cognitive ServicesSQLPySparkNumPyPandasScikit-LearnTensorFlowPyTorchAzure SynapseAzure Data FactoryADLSAzure DevOpsMLOpsMicrosoft FabricPower BI ReportingSemantic ModelsOntologyCopilotNatural Language ProcessingSpeech RecognitionText RecognitionImage RecognitionSupervised LearningUnsupervised LearningForecastingEconometric Time Series ModelingData ScienceStatisticsMachine LearningArtificial IntelligenceData WranglingCollaborationPresentationProactivityCuriosityAction OrientationLearning Agility

Qualifications

Advanced Degree in Quantitative Field4+ Years Data Science ExperienceRetail ExperiencePharmaceutical ExperienceLogistics ExperienceSupply Chain ExperienceCPG ExperienceIntellectual Property RightsHIPAAHealth Information ConfidentialityCredit Information Confidentiality

Benefits

Parental Leave
Tuition Assistance

Full job description

Hybrid

Grand Rapids, MI

Full time

R000705566

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 Pharmacy Analytics team at Meijer leads the strategy, development and integration of analytics for Meijer Pharmacy. Data Scientists on the team will drive data wrangling, statistics, Machine Learning, Artificial Intelligence and system efficiencies by delivering innovative data driven solutions. Through these applications, data scientists drive material business value, mitigate business and operational risk, and significantly impact customer experience. This role works directly with merchandising, marketing, operations, IT, and vendor partners.

What You'll Be Doing:

  • Deliver against the overall data science strategy to drive a safe and secure patient experience, marketing, customer loyalty, and operational performance.

  • Partner with stakeholders to define requirements which meet system and customer experience needs for data science projects.

  • Partner with stakeholders 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, data transformations, 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 environment following Safe Agile methodology as required.

  • Develop data driven solutions for strategic cross-functional initiatives, develop and present business cases, and gain stakeholder alignment of solution.

  • Help to define, document and follow best practices for ML/AI development at Meijer.

  • Deliver communication to data consumers to ensure they understand data science products, have the proper training, and are following the best practices in application of data science products.

  • Monitor and analyze Key Performance Indicators to ensure the usage, adoption, health and value of data products.

  • Partner and communicate with internal teams and IT to ensure the architecture of data and systems are meeting data science team service level needs

  • Maintain relationships with key partners, suppliers and industry associations and continue to advance data science capabilities, knowledge and impact

  • This 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 Bring With You:

  • Advanced Degree (MA/MS, PhD) in Mathematics, Statistics, Economics, Sociology or related quantitative field

  • 4+ years of relevant data science experience in an applied role preferable in retail, pharmaceutical, logistics, supply chain or CPG industry.

  • Demonstrated strength in using: Python, Databricks, Azure ML, Azure Cognitive Service, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch.

  • Experience with Azure Cloud technologies: Azure Synapse, Azure Data Factory, ADLS, and Azure DevOps/MLOps

  • Experience with Microsoft Fabric, PowerBI Reporting, Semantic Models, Ontology, Copilot

  • 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, curious 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. Appreciation of HIPAA and other personal health or credit information confidentiality.

We opened our doors more than 90 years ago with the goal of helping people provide for themselves and their family. Today we’re a multi-billion dollar retailer with more than 70,000 employees across six states. Our Midwest geography includes corporate offices in Grand Rapids, Michigan, plus manufacturing facilities, distribution centers and over 270 stores across Michigan, Illinois, Indiana, Kentucky, Ohio and Wisconsin.

Meijer is an Equal Opportunity Employer, fostering a diverse and inclusive workplace. We are committed to treating all persons with dignity and respect. Meijer's policy is to not discriminate because of any applicant or team member's race, color, national origin, sex, sexual orientation, gender identity or expression, pregnancy, religion, age, physical or mental disability, uniformed service or veteran status, or any other lawfully-protected classification. If you have a disability and require a reasonable accommodation to complete any part of your application, please click here to submit your request . Submissions that are not seeking help to complete the application due to a disability will not be responded to.

How this job compares

Set against the 5,010 open Data Scientist jobs on Olive Jobs, counted October 28, 2026.

Pay
  • This postingNot listed
  • Michigan median$125–218K/yr53 salary ranges
  • US median$35–50/hr90 hourly ranges
Openings
Olive Jobs lists 79 open Data Scientist jobs in Michigan and 5,010 across the US. 5% of them nationwide are listed as remote or flexible.
Hiring the most in Michigan
Experience
This posting asks for at least 4 years of experience; Data Scientist postings that state a minimum ask for 5 years at the median (4,315 postings).
Education
This posting asks for a master's degree; 724 of the 5,010 open Data Scientist jobs (14%) ask for a master's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 28, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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