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AI Procurement Spend Analytics Developer

Dylan Oliveira

Full-time · Job · New_York

About the role

Enterprise procurement teams manage thousands of suppliers and millions of purchase orders, but most can't answer basic questions: "How much did we spend on IT consulting last quarter?" The data exists across 15 ERP systems, each using different category codes, supplier naming conventions, and currency formats. Our spend analytics platform normalizes this mess into a single source of truth. The NLP challenge is spend classification — taking a purchase order line item like "Professional services — Phase 2 implementation support per SOW #4523" and mapping it to the right category in a 4-level taxonomy. Rule-based approaches get 60% accuracy; our ML models achieve 89%. You'll push that to 95% by handling the long tail of ambiguous line items that don't fit neatly into any category. The procurement analytics team is four engineers. You'll own the classification pipeline and work with domain experts who define the taxonomy and review edge cases.

Responsibilities

  • Improve spend classification accuracy from 89% to 95% on ambiguous line items
  • Build features from purchase order text, supplier metadata, and historical patterns
  • Design active learning workflows for edge case resolution
  • Handle multi-currency normalization and cross-ERP data harmonization
  • Create dashboards surfacing spend insights for procurement teams
  • Maintain classification taxonomy as new categories emerge

Requirements

  • 5+ years in NLP or text classification with production systems
  • Experience with enterprise data: ERP systems, purchase orders, or financial data
  • Strong Python and SQL skills for data processing at scale
  • Understanding of classification under noisy, ambiguous labels
  • Ability to work with domain experts on taxonomy refinement

Benefits

  • Fully remote with flexible hours
  • Health, dental, and vision insurance
  • $3,000 annual learning budget
  • 401(k) with match
  • Work that saves enterprises millions in procurement inefficiency

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Categories

data science & analytics AI Business, Marketing & Strategy

Skills

python sql pandas spark aws

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Job Type

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Level

Senior

Language

English

Salary Range

$100k – $130k / year

AI Expertise

data science & analytics AI Business, Marketing & Strategy

Skills

python sql pandas spark aws tableau

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