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Open nowPosted 2 days ago

Data Scientist

Meijer12 open roles

Where
Grand Rapids, MI
Work mode
Hybrid
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Your applicationOpen nowData ScientistMeijer · Grand Rapids, MI

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Meijer's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. Meijer postings stay open a median of 3 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.0%14 days
  5. 33.9%30 days
This job: posted 2 days ago

Meijer median: 3 days open

The posting

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.
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