Senior Supply Chain Analytics Engineer / Data Scientist

Job Overview

We are seeking a Senior Supply Chain Analytics Engineer / Data Scientist with a strong blend of data engineering, advanced analytics, and AI-driven supply chain insights experience. The ideal candidate will have a proven background building scalable data solutions, conducting deep analytical investigations, and delivering business-critical insights in fast-paced enterprise environments.

This role requires someone who can partner closely with Operations, Planning, and Finance stakeholders to translate complex business problems into reliable, production-grade analytical solutions.

Required Experience

• 8+ years of experience in Analytics Engineering, Data Engineering, or Data Science
• Strong experience owning medium to large-scale projects end-to-end with minimal guidance
• Proven track record delivering production-grade, business-critical data products
• Experience working in large enterprise or product-based environments preferred

Core Technical Skills

• Advanced SQL skills (Hive, Presto, or equivalent)
• Strong Python programming experience using pandas, NumPy, and related libraries
• Hands-on experience building and maintaining scalable ETL/ELT pipelines
• Strong understanding of data modeling and warehouse design
• Experience with dimensional modeling, star/snowflake schemas
• Experience with Databricks, Spark, or similar big data platforms

Analytics & Data Science Skills

• Strong understanding of statistical methods including:
  • Regression analysis
  • Hypothesis testing
  • Time series analysis
• Experience performing root-cause analysis and quantifying business impact
• Ability to generate executive-ready insights from complex datasets
• Experience with AI-driven analytics, forecasting, or optimization models is highly preferred

Business & Communication Skills

• Excellent verbal and written communication skills
• Ability to work with both technical and non-technical stakeholders
• Experience partnering with Operations, Finance, and Planning teams
• Strong problem-solving and stakeholder management skills
• Ability to work through ambiguous business requirements and convert them into scalable data solutions

Preferred Background

• Experience supporting Supply Chain, Logistics, Operations, Forecasting, or Planning analytics
• Experience in large-scale technology or product-driven organizations preferred
• Strong ownership mindset and ability to thrive in fast-paced environments

Work Model

• Onsite or Hybrid candidates in Sunnyvale, CA preferred