Senior Supply Chain AI Analytics (Data) Engineer 100% Remote
KPM Notes:
We cannot submit someone with “decent” comm skills/personality. They must be “excellent”. Honestly, best if American or someone that’s been here for 20 + years, etc.
Resumes that work are Data Scientists that were Data Engineers. … Heavy AI, SCM Analytics in scope. Must have that SCM-AI experience.
This is for one of those Microsoft, Google, Amazon type companies…Client only wants people with F50 client experience – NOT healthcare, insurance, education or financial institutions.
Do not inflate resumes! We need resumes that speak to contributions made, real results, not a laundry list of tech stacks.
MUST‑HAVE (Non‑Negotiable)
Candidates missing any of the below should not be submitted.
Experience & Seniority
- 8+ years in analytics engineering, data engineering, or 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
Business & Communication
More important than ANY tech chops:
- 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