Senior Data Scientist and Solution Architect
Core
Lead architectural direction and development of high-impact AI/ML solutions to transform complex supply chain challenges into measurable business outcomes.
Role type
Senior IC data scientist and solution architect (supply chain AI)
Builds
Scalable AI/ML solutions, predictive analytics, LLM-powered applications, and agentic workflows for NPI, Product, and Test Engineering teams.
Domain
Supply chain operations, generative AI, large language models (LLM), and agentic systems.
Deliverable
production ML models
Required skills
Generative AI & LLM development, Agentic AI systems design, RAG pipeline construction, Advanced statistical analysis, Time-series analysis, Python (Pandas, Scikit-learn, PyTorch/TensorFlow), SQL, System design for data pipelines, Prompt engineering, Vector database management, Model evaluation frameworks.
Preferred skills
MLOps practices, Experience with large-scale unstructured and multi-modal datasets, Supply chain domain expertise.
Technologies
Python, Pandas, Scikit-learn, PyTorch, TensorFlow, SQL, Spark, Snowflake, MLflow, Kubeflow, Vector databases, MCP, A2A frameworks.
Responsibilities
Translate business objectives into scalable data science projects; Architect and deploy sophisticated models including predictive analytics and LLM applications; Drive methodological rigor in experimental design and model evaluation; Partner with AI Engineers for seamless research-to-production integration; Pilot cutting-edge methodologies like Agentic Frameworks and RAG; Foster technical excellence and ensure model ethics and interpretability.
Seniority
Senior, hands-on IC with strategic leadership
