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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! Supports quality assurance across Meijer’s Softlines Own Brand businesses to ensure product quality, consistency, and customer satisfaction while maintaining high standards for fit, workmanship, durability, and reliability. This position follows our hybrid schedule: Monday-Wednesday in Grand Rapids MI office, Thursday-Friday remote. What You’ll Be Doing: Supports the QA team in maintaining processes, infrastructure, and training programs that help ensure Meijer Own Brand apparel and softlines products meet customer expectations for quality and safety throughout development and production, minimizing issues, returns, and recalls. Provides apparel technical support to the quality team responsible for Softlines. Supports the development of product standards for apparel and softlines tech packs. Supports the creation and ongoing maintenance of testing protocols for apparel and softlines products. Partners with the Apparel Regulatory Specialist to ensure regulatory requirements are accurately incorporated into testing protocols and tech packs. Coordinates with testing labs and manufacturers to ensure products are evaluated in accordance with Meijer quality standards. Reviews apparel testing failures and supports the QA team in implementing appropriate corrective actions. Collaborates with Technical Designers to help maintain garment construction standards. Provides administrative and operational support for Meijer’s quality management system for apparel and softlines, including activities related to the vendor scorecard and qualification program. Supports lab selection processes and assists with activities related to vendor and manufacturer evaluation. Communicates with Meijer team members, vendors, and overseas agents to support apparel quality initiatives and requirements. Assists in developing and implementing post-launch product evaluation strategies, including the review of customer return data, complaint data, and in-store assessments. Executes directives from the QA Manager that support the strategic direction of the business. 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 Bring With You (Qualifications): Bachelor’s degree, with a preference for a degree in Apparel and Textile Technology or Design. 3 years of related experience in apparel quality assurance at the retail level. Demonstrated leadership and cross-functional collaboration with internal and external teams. Strong knowledge of apparel quality management systems Working knowledge of Acceptable Quality Level standards Familiarity with garment construction standards and approaches for a variety of fabrics including cut & sew knits, sweater knits and wovens Experience working with overseas agents, indirect vendors and manufacturers. Ability to proactively recognize and address potential issues which could impact merchandise quality Positive individual who thrives on building new processes and influencing others in a dynamic, fast paced environment Able to generate accurate work product quickly as requested and influence others to do the same Ability to work across all divisions and levels of the organization. Excellent written and verbal communication skills Strong organizational skills Proficient with Microsoft Word, Excel, PowerPoint and Outlook, SharePoint Experience working with PLM systems a plus Proven ability to independently problem solve, analyze and assess

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.