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AI Vendor Performance Scoring Developer

Dylan Oliveira

Full-time · Job · Chicago

About the role

We serve 340 retail clients who collectively manage relationships with 15,000 suppliers. Right now, vendor performance evaluation is a quarterly exercise based on spreadsheets and subjective ratings from category managers who favor vendors they like. We want to replace that with a continuous, objective scoring system that tracks delivery reliability, quality consistency, price competitiveness, and sustainability compliance. You'll design and build the vendor performance scoring engine: defining the composite metrics that capture what good vendor performance looks like across different product categories, building the data pipelines that aggregate signals from ERP systems, quality records, and logistics data, and creating the API that surfaces scores to procurement teams in real time. The hard part isn't the ML — it's getting the scoring logic right for industries as different as fresh produce and industrial components. This is a senior IC role with product ownership. You'll define the scoring methodology, socialize it with procurement domain experts, and have the final say on what gets shipped. Your counterpart is a senior product manager who handles client relationships.

Responsibilities

  • Design composite vendor performance scoring methodology across product categories
  • Build data pipelines aggregating procurement, logistics, and quality signals
  • Develop APIs that surface vendor scores to procurement teams
  • Create calibration frameworks to ensure score consistency across categories
  • Build monitoring for scoring model drift and data pipeline health
  • Partner with procurement domain experts to validate and refine scoring logic

Requirements

  • 6+ years in analytics or data science with procurement or supply chain domain experience
  • Strong Python and SQL skills with data modeling expertise
  • Experience designing scoring or rating systems with multi-dimensional inputs
  • Ability to translate business domain requirements into data models
  • Track record of shipping systems used by non-technical end users

Benefits

  • Fully remote with flexible schedule
  • Comprehensive benefits package
  • $4,000 annual professional development budget
  • Equity participation
  • Performance-based bonus

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Categories

data science & analytics AI Business, Marketing & Strategy

Skills

python sql pytorch pandas spark

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$130k – $160k / year

AI Expertise

data science & analytics AI Business, Marketing & Strategy

Skills

python sql pytorch pandas spark statistics

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