Data Scientist

Data Scientist – Jobs via Dice

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Top Skill Sets for Senior Data Scientist:

• 6 years overall experience with SQL, Python, Databricks, and handling large data sets.
• Understand models and convert outputs into predictions.
• Campaign experience – setting up offers and coupons and strong retail fundamentals.
• End-to-end modeling, hands‑on writing algorithms for consumer‑facing marketing and loyalty.
• Deployment and ML Ops experience.

• Lead: 3+ data scientists.
• Validate code and act as a thought leader for strategy while engaging with business stakeholders.
• Ability to build custom algorithms from scratch (not just packages).
• 8+ years of Python, Databricks, Azure ML, SQL while handling large data sets.
• Forecasting libraries and algorithm development for customer and coupon relevance.
• Execute personalization strategies.

Job duties for Senior Data Scientist:
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 that 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.
• Define, document and follow best practices 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 best practices in application.
• Define and analyze Key Performance Indicators to monitor usage, adoption, health and value of the data products.
• Identify and scope, in conjunction with IT, system architecture needs to ensure data science systems deliver against strategy.
• Build and maintain relationships with key partners, suppliers and industry associations to advance data science capabilities.

• Partner with product development to define requirements that 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 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.
• Partner with product development and technology teams to deploy pipelines into production MLOps environment following Safe Agile methodology.
• 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.
• Design, code, and implement new industry leading design patterns in data science to create conventions that teams are accountable to follow.
• Foster a culture of innovation by keeping up‑to‑date with the latest industry trends and research across data science, AI and retail.
• Mentor data science teams and promote a culture of curiosity, accountability, & enthusiasm.
• Provide data science strategy to ensure code modernization and industry standard patterns for data science.
• Provide guidance to development teams within domain (Commerce, Services or Mobile).
• Lead…