Senior Supply Chain AI Analytics Data Scientist
Sunnyvale, CA; Hybrid 3 days ; need local to CA
LinkedIn with profile photo and must be created before 2022
must be excellent Comms

Experience & Seniority
10+ years in analytics engineering, data science
Proven ability to own medium–large projects end‑to‑end with minimal guidance
Clear track record delivering production, business‑critical data products
Core Technical Skills
Advanced SQL (Presto/Hive or equivalent)
Strong Python (pandas, NumPy; production-grade usage)
Hands-on experience building and maintaining scalable ETL/ELT pipelines
Data modeling & warehouse design (dimensional models, star/snowflake schemas, Databricks or similar)
Analytics & Statistics
Practical application of statistical methods (regression, hypothesis testing, time series)
Experience conducting root-cause analysis and quantifying business impact
Ability to synthesize analysis into clear, executive-ready insights
Domain & Modeling
Supply chain, logistics, manufacturing, or operations domain experience
Predictive or forecasting use cases (demand forecasting, lead time prediction, risk scoring)
Advanced Analytics
Machine learning frameworks (scikit learn, PyTorch) for applied business problems
Scenario modeling or simulation frameworks for operational decisions
Visualization & Tooling
Dashboarding / visualization tools (Tableau or similar)
Experience using AI assisted development tools to accelerate engineering work
Business & Communication
EXCELLENT communication skills with technical and non-technical stakeholders
Experience partnering closely with Operations / Finance / Planning Managers
Fluent in translating ambiguous business needs into reliable data solutions

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