Data Scientist - Business Process Re-Engineering

What you'll do

• Partner with business teams to scope supply chain problems, build end-to-end analytics solutions, and communicate business impact to leadership.
• Develop, operationalize, monitor, and iterate on data science models, algorithms, dashboards, and self-service tools.
• Evaluate emerging AI and visualization technologies and define metrics to measure solution performance and value.

What they ask for

• PhD in a related field and 5+ years of industry experience, or MS in a related field and 8+ years of hands-on industry experience.
• Demonstrated experience in forecasting, optimization, or simulation within supply chain or operations.
• Experience building and deploying large-scale data science and machine learning models, including MLOps practices and production workflows.
• Experience with Python and advanced SQL, and building scalable GenAI solutions with agentic approaches.

Nice to have

• Attention to detail, data integrity, and data wrangling.
• High intellectual curiosity about business needs.

Tools

Python, SQL, Scikit Learn, TensorFlow, PyTorch, Snowflake, Docker, Kubernetes

AI focus

Build and deploy machine learning and GenAI solutions, especially agentic systems using MCP servers, agents, and skills; evaluate LLMs, RAG, and vector databases.