Lead the design and deployment of advanced Machine Learning and Generative AI solutions to optimize global supply chain operations. Collaborate with cross-functional teams to drive measurable improvements in forecasting, logistics, and inventory management. Utilize expertise in supply chain analytics, end-to-end ML lifecycle management, and experience building scalable models in a production environment.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
At Staffworxs, we don’t just connect talent — we power transformation. Headquartered in Frisco, TX, with teams in Bengaluru and Hyderabad, we combine global reach with deep expertise. Our Digital & Data Analytics practice drives growth and innovation for some of the world’s top CPG brands, who continue to retain us as their trusted partner. If you’re ready to make an impact, you’re in the right place.
Job Details
Title: Supply Chain Lead Data Scientist
Location: USA or Canada (Remote)
Duration: 12+ Months
Pay Rate: Open, DOE
Client Industry: Leading Retail Brand
Skills Required: Supply Chain Data Science, Machine Learning, Generative AI, Time-Series Forecasting, Causal Modeling, Python/R/Scala/Rust, MLFlow, Spark, Cloud Platforms (AWS/Azure/GCP), Deep Learning Frameworks (TensorFlow/PyTorch)
Job Description
Staffworxs is partnering with a top-tier retail organization to hire an experienced Supply Chain Lead Data Scientist. This role will lead the design and deployment of advanced Machine Learning (ML) and Generative AI (GenAI) solutions to optimize global supply chain operations.
The ideal candidate will have deep expertise in supply chain analytics, end-to-end ML lifecycle management, and experience building scalable models in a production environment. You’ll collaborate closely with engineering and business teams to drive measurable improvements in forecasting, logistics, and inventory management.
Key Responsibilities:
- Design and deploy advanced ML models for demand forecasting, inventory optimization, and logistics planning
- Collaborate with cross-functional teams to deliver scalable and production-ready solutions
- Apply expertise in time-series forecasting, causal modeling, and Generative AI
- Own the full ML lifecycle: problem scoping, data preparation, model development, deployment, and monitoring
- Build batch and real-time algorithms with A/B testing, automated validation, and monitoring tools
- Stay up to date with emerging GenAI and supply chain technologies
Required Qualifications:
- 8+ years of professional experience in Data Science with a focus on supply chain or logistics
- Proficiency in Python, R, Scala, or Rust
- Strong experience with AWS, Azure, or GCP and big data tools like Spark
- Hands-on experience with MLFlow or similar tools
- Practical knowledge of Generative AI technologies (open-source LLMs, APIs, deployment)
- Strong business acumen in supply chain and retail operations
- Excellent communication and leadership skills
- Self-starter who can work independently and drive initiatives
Preferred Qualifications:
- Advanced degree (MS/PhD) in Computer Science, Data Science, or Supply Chain Management
- Prior experience in retail or logistics environments
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch
Why Join:
- Influence the future of AI-driven supply chain innovation
- Contribute to high-impact, long-term projects
- Work with both traditional ML and cutting-edge GenAI applications
- Enjoy full remote flexibility across the US and Canada
- Collaborate with world-class engineering teams on enterprise-scale AI systems
Staffworxs is an Equal Opportunity Employer.
We celebrate diversity and are committed to creating an inclusive workplace for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.
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