As a family company, we serve people and communities. When you work at Meijer, youre 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 <ul> <li>Weekly pay </li> <li>Scheduling flexibility </li> <li>Paid parental leave </li> <li>Paid education assistance </li> <li>Team member discount </li> <li>Development programs for advancement and career growth </li> </ul> 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. As a Principal Data Scientist for the Retail Media Network, your crucial contributions will amplify customer engagement and satisfaction, boost digital conversion rates, and enhance operational efficiency through innovative, data-focused strategies for tailoring and assessing campaign performance. This encompasses the implementation of closed-loop measurement, last-touch and multi-touch attribution, as well as incremental measurement and personalization techniques. By deploying these methodologies, data scientists at Meijer deliver substantial business value, reduce risks associated with business operations, and make a marked difference in the customer experience. In this capacity, you will engage directly with teams across product development, merchandising, marketing, operations, ITS, e-commerce, and external vendor partners. Your responsibilities will include leading, advising, or managing a portfolio of highly complex data science projects, programs, or domains that significantly influence the company and necessitate a deep understanding of various architectural disciplines, including technological, solution-oriented, business, and informational/data aspects . What You'll Be Doing: <ul><li> Execute the overarching RMN data science strategy to drive in-store and digital merchandising, marketing, customer loyalty, and operational performance </li> <li>Collaborate with product development to establish requirements that align with both system capabilities and customer experience objectives for data science initiatives. </li> <li>Develop, deploy, and perfect a last-touch and multi-touch attribution framework for the retail media network through teamwork with marketing, operations, data engineering, product management, & other key players, leveraging diverse data sources including digital and in-store. </li> <li>Spearhead the design and execution of advanced statistical modeling techniques and machine learning algorithms to analyze complex data sets, uncover key drivers of consumer behavior, and attribute marketing touchpoints accurately. </li> <li>Plan and manage A/B testing to confirm and enhance the attribution models efficacy, ensuring its reliability and statistical validity. </li> <li>Keep up-to-date with the latest developments in incrementality, last-touch and multi-touch attribution techniques, industry movements, and new technologies, incorporating them to improve the models accuracy. </li> <li>Promote ongoing refinement and enhancement of the attribution & incrementality model by monitoring its effectiveness, analyzing performance indicators, and making informed adjustments. </li> <li>Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions supporting RMN team initiatives </li> <li>Partner with product development and technology teams to deploy pipelines into production MLOps environment following Safe Agile methodology </li> <li>You will architect, design, and lead the development and implementation of machine learning algorithms and models for a data science capability within Digital Services, Merchandising, Marketing, Supply Chain and Operations. </li> <li>Designs, codes, and implements new industry leading design patterns in data science, to create the convention/technique/practice that teams are accountable to follow. </li> <li>Foster a culture of innovation by keeping up-to-date with the latest industry trends and research across RMN, IAB/MRC retail media measurement standards, data science, AI and retail. </li> <li>Mentors and provides technical leadership to a team of data scientists, promoting a culture of collaboration, innovation, curiosity, accountability, & enthusiasm. </li> <li>Provides data science strategy to ensure code modernization and industry standard patterns for data science. </li> <li>Provides guidance to development teams within domain (Commerce, Services or Mobile). </li> <li>Leads non-functional requirements (NFRs) such as security, reliability, performance, maintainability, scalability, and usability related to data science. </li> <li>Promotes the implementation of new technology, solutions, and methods to improve business processes, efficiency, effectiveness, and value delivered to customers. </li> <li>Proactively identify data driven solutions for strategic cross-functional initiatives, develop and present business cases, and gain stakeholder alignment of solution </li> <li>Responsible to define, document & follow best practices & approve for ML/AI development at Meijer </li> <li>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 </li> <li>Define and analyze Key Performance Indicators to monitor the usage, adoption, health and value of the data products </li> <li>Identify and scope, in conjunction with IT, the architecture of systems and environment needs to ensure that data science systems can deliver against strategy </li> <li>Build and maintain relationships with key partners, suppliers and industry associations and continue to advance data science capabilities, knowledge and impact </li> <li>This job profile is not meant to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required </li> </ul> What You Bring with You (Qualifications): <ul><li>Advanced Degree (MA/MS, PhD) in Data Science, Computer Science, Mathematics, Statistics, Economics, or related quantitative field ? </li><li>?Certifications: Azure Data Science Associate, Azure AI, Safe Agile?? </li><li>???8+ years of relevant data science experience in an applied role preferable w/in retail, logistics, supply chain or CPG with a focus on NLP and AI?? </li> </ul>

As a family company, we serve people and communities. When you work at Meijer, youre 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 <ul> <li>Weekly pay </li> <li>Scheduling flexibility </li> <li>Paid parental leave </li> <li>Paid education assistance </li> <li>Team member discount </li> <li>Development programs for advancement and career growth </li> </ul> Please review the job profile below and apply today! This is a hybrid role meaning you have to be in our Grand Rapids office Monday - Wednesday. Relocation Assistance may potentially be provided. 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: <ul> <li>Deliver against the overall data science strategy to drive in-store and digital merchandising, marketing, customer loyalty, and operational performance </li><li>Partner with product development to define requirements which meet system and customer experience needs for data science projects </li><li>Partner with Merchandising, Supply Chain, Operations and customer insights to understand the journey that will be improved with the data science deliverables </li><li>Build production ready 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 </li><li>Partner with product development and technology teams to deploy pipelines into production MLOps environment following Safe Agile methodology </li><li>You will architect, design, and lead the development and implementation of machine learning algorithms and models for a data science capability within Digital Services, Merchandising, Marketing, Supply Chain and Operations. </li><li>Designs, codes, and implements new industry leading design patterns in data science, to create the convention/technique/practice that teams are accountable to follow. </li><li>Foster a culture of innovation by keeping up-to-date with the latest industry trends and research across data science, AI and retail. </li><li>Mentors data science teams and promotes a culture of curiosity, accountability, & enthusiasm. </li><li>Provides data science strategy to ensure code modernization and industry standard patterns for data science. </li><li>Provides guidance to development teams within domain (Commerce, Services or Mobile). </li><li>Leads non-functional requirements (NFRs) such as security, reliability, performance, maintainability, scalability, and usability related to data science. </li><li>Promotes the implementation of new technology, solutions, and methods to improve business processes, efficiency, effectiveness, and value delivered to customers. </li><li>Proactively identify data driven solutions for strategic cross-functional initiatives, develop and present business cases, and gain stakeholder alignment of solution </li><li>Responsible to define, document & follow best practices & approve for ML/AI development at Meijer </li><li>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 </li><li>Define and analyze Key Performance Indicators to monitor the usage, adoption, health and value of the data products </li><li>Identify and scope, in conjunction with IT, the architecture of systems and environment needs to ensure that data science systems can deliver against strategy </li><li>Build and maintain relationships with key partners, suppliers and industry associations and continue to advance data science capabilities, knowledge and impact </li><li>This job profile is not meant to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required </li></ul> Education: <ul> <li>Advanced Degree (MA/MS, PhD) in Data Science, Computer Science, Mathematics, Statistics, Economics, or related quantitative field </li><li>Certifications: Azure Data Science Associate, Azure AI, Safe Agile </li></ul> What You Bring with You (Qualifications): <ul> <li>8+ years of relevant data science experience in an applied role preferable w/in retail, logistics, supply chain or CPG with a focus on NLP and AI </li><li>Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, Ads Data Hub, BIQuery, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK </li><li>Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse, MLOps, GitHub </li><li>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 </li><li>Developed efficient and effective solutions to diverse and complex business problems </li><li>Technical team leadership experience. </li><li>Experience in Scaled Agile framework is preferred. </li><li>Proactive and action oriented </li><li>Ability to collaborate with, and present to internal and external partners </li><li>Experience in the retail industry or in a production/service environment is preferred. </li> </ul>

Major Duties<ul><li>Serves as a Senior Data Scientist leading teams for the most complex projects. May also serve as a team participant or an independent analyst on professional data science teams.</li><li>Applies the rigors of the data science discipline to data analysis in Cyber, Information Technology and economic analyses of complex and potentially controversial major information technology systems and networks.</li><li>Responsible for advanced level data science analytics characterized as highly unstructured and complex, having little definition or clarity, and especially complex analytic projects assigned to the organization.</li><li>Provides business metrics and support for the most complex projects to identify improvements (contribution to the improvement should be monitored initially and over multiple iterations).</li><li>Coordinates with the data steward to ensure that the information used follows the regulatory and security policies in place.</li><li>Qualify where information can be stored or what information, external to the organization, may be used in support of the use case.</li><li>Lead analytical projects, providing direction and guidance to project members of a professional nature in the execution and implementation of projects.</li></ul>Qualifications/ Specialized ExperienceWho May Apply: Only applicants who meet one of the employment authority categories below are eligible to apply for this job. You will be asked to identify which category or categories you meet, and to provide documents which prove you meet the category or categories you selected. See Proof of Eligibility for an extensive list of document requirements for all employment authorities. Current Army Cyber Excepted Service (CES) Employee Current Army Defense Civilian Intelligence Personnel System (DCIPS) Employee Current Civilian Employees of the Organization Applying to Cyber Excepted Service (CES) Positions Current Department of Army Civilian Employees Current DoD Cyber Excepted Service (CES) Employee (non-Army) Current DoD Defense Civilian Intelligence Personnel System (DCIPS) Employee (non-Army) Current Permanent DoD Civilian Employee (non-Army) Applying to Cyber Excepted Service Positions Non-Department of Defense (DoD) Transfer Applying to Cyber Excepted Service Positions Army CES positions apply Veteran's Preference to preference eligible candidates, as defined by Section 2108 of Title 5 U.S.C., in accordance with the procedures provided in DoD Instruction 1400.25, Volume 3005, "CES Employment and Placement". If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you must submit documents verifying your eligibility with your application package. In order to qualify, you must meet the education and experience requirements described below. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student; social). You will receive credit for all qualifying experience, including volunteer experience. Your resume must clearly describe your relevant experience; if qualifying based on education, your transcripts will be required as part of your application. Additional information about transcripts is in this document. Basic Requirement for Data Scientist: A. Degree: Bachelor's degree (or higher degree) in in mathematics, statistics, computer science, data science or field directly related to the position. OR B. Combination of Education and Experience: Courses equivalent to a major field of study (30 semester hours) as shown in A above, plus appropriate experience or additional education. In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below: GG-11 Qualifying Experience: To qualify based on your experience, your resume must describe one year of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) assisting with analyzing data in cyber, information technology, or other areas to ensure plans meet programming requirements; (2) analyzing economic information to ensure plans meet budgetary requirements; (3) working on a team providing business metrics and support for complex projects to identify needed improvements; (4) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research. GG-12 Qualifying Experience: To qualify based on your experience, your resume must describe one year of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) analyzing data in cyber, information technology and/or economic information to ensure plans meet programming or budgetary requirements; (2) providing business metrics and support for complex projects to identify needed improvements; (3) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research. GG-13 Qualifying Experience: To qualify based on your experience, your resume must describe two years of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) leading teams in analyzing data in cyber, information technology to ensure plans meet programming; (2) analyzing economic information to ensure plans meet budgetary requirements; (3) providing business metrics and support for complex projects to identify needed improvements; (4) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research; (5) ensuring information used is in compliance with regulations and security policies.

Data Scientist Jobs in Grand Rapids, MI

Principal Data Scientist
November 18, 2024

Principal Data Scientist Retail Media Network
November 17, 2024

Ai Genai Data Scientistsenior Associate
November 16, 2024

Senior Data Scientist Retail Media Network
November 11, 2024

Principal Data Scientist Retail Media Network
November 10, 2024

Data Scientist Senior
November 4, 2024

Principal Data Scientist
November 4, 2024

Principal Data Scientist
November 3, 2024

Data Scientist Senior
November 2, 2024

Data Scientist
October 30, 2024

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Data Scientist Jobs in Grand Rapids, MI

Principal Data ScientistNovember 18, 2024

Principal Data Scientist Retail Media NetworkNovember 17, 2024

Ai Genai Data Scientistsenior AssociateNovember 16, 2024

Senior Data Scientist Retail Media NetworkNovember 11, 2024

Principal Data Scientist Retail Media NetworkNovember 10, 2024

Data Scientist SeniorNovember 4, 2024

Principal Data ScientistNovember 4, 2024

Principal Data ScientistNovember 3, 2024

Data Scientist SeniorNovember 2, 2024

Data ScientistOctober 30, 2024