Data Scientist with Retail||Grand Rapids, MI Hybrid
Adarsh Kumar
Role: Data Scientist with Retail
Location: Hybrid - Grand Rapids, MI (See Schedule Below)
Duration: Seven Month Contract - Extension/FTE Potential (FTE for W2 Talent ONLY)
Top Skills' Details
1. Ability to build custom algorithms from scratch (not just packages)
2. 6+ years of Python, Databricks, Azure ML, SQL while handing large data sets
4. Come from a retail background
Job Description
Our client is 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.
- 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
Additional Skills & Qualifications
What you'll bring:
- Experience delivering machine learning and/or optimization solutions in real-world applications (supply chain preferred)
- Strong ability to partner with cross-functional teams and translate business problems into analytical solutions
- Experience developing end-to-end data science pipelines from prototype to production
- Familiarity with deploying models in an MLOps environment
- Comfort working in Agile/SAFe development environments
- Strong communication skills with the ability to influence both technical and non-technical stakeholders
What you'll be doing as a Data Scientist:
• Advanced Degree (MA/MS, PhD) in Mathematics, Statistics, Economics, or related quantitative field
• Certifications: Azure Data Science Associate, Azure AI, Safe Agile
• 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
- 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
• Proactive 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
Employee Value Proposition (EVP)
The Data Science team at our client leads the strategy, development and integration of Machine Learning and Artificial Intelligence at our client. 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.
Work Environment
Hybrid Mon - Wed onsite. Thur. and Friday remote.
Business Drivers/Customer Impact
ML/Optimization data science projects to improve supply chain operations
Regards,
Adarsh Jaiswal