JOB SUMMARY
We are looking for a Machine Learning engineer with Python, ML, Azure ML, A/B Testing, Databricks, and so forth to join a data science team. This specific team supports line of business in supply chain and demand forecasting. The data they work with is to support models. We are seeking a Data Scientist to drive machine learning and optimization initiatives that improve supply chain performance. This role focuses on developing scalable data science solutions that enhance operational efficiency, inventory management, and end-to-end supply chain decision-making. You will work cross-functionally with teams across Merchandising, Supply Chain, Operations, and Customer Insights to identify high-impact opportunities and deliver data-driven solutions that improve the customer and operational journey. The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence. 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. ML/Optimization data science projects to improve supply chain operations.

Key Responsibilities
• Partner with business stakeholders across Merchandising, Supply Chain, Operations, and Customer Insights to identify opportunities and define data science use cases that improve operational performance
• Design and develop machine learning models, optimization algorithms, and statistical solutions to solve supply chain challenges
• Build production-ready prototypes and iteratively develop end-to-end data science pipelines
• Develop and deploy scalable solutions leveraging machine learning, artificial intelligence, and advanced analytics techniques
• Collaborate with Product and Technology teams to deploy models into production within an MLOps framework
• Follow SAFe Agile methodology to deliver incremental value and continuously improve models and solutions
• Translate complex data science outputs into actionable insights for business stakeholders
• Monitor model performance and continuously refine solutions based on business feedback and evolving data
• Creating of building pipelines and model parameters.
• Ability to communicate effectively across other teams.
• Prioritize data ingestion.

Required Qualifications
• Recent Retail client experience (Example: Kroger, former Meijer, 84.51, Walmart, Amazon, Costco, Sam's Club)
• Must have a recent Retail client experience
• Machine learning
• Python
• Azure ML
• A/B testing
• Databricks
• Supply chain
• Prior retail or grocery experience is a must
• 6+ years of Python, SQL, Databricks, Azure ML, and large-scale data engineering/model deployment experience.
• 6+ years of experience developing machine learning, optimization, and statistical solutions using Python, SQL, Databricks, and Azure ML on large-scale datasets.
• Strong understanding of retail supply chain operations.
• Experience applying predictive modeling and machine learning techniques to solve inventory, forecasting, and operational performance challenges.
• Ability to translate analytical findings into actionable business decisions and measurable operational outcomes.
• 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.

Preferred Qualifications
• Sql
• Advanced Degree (MA/MS, PhD) in Mathematics, Statistics, Economics, or related quantitative field
• 6+ years of relevant data science experience in an applied role - preferable w/in retail, logistics, supply chain or CPG.
• Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK
• Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse, MLOps, GitHub

Certifications
• Azure Data Science Associate
• Azure AI
• Safe Agile