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AI Promo Code Abuse Detection Analyst

Grace Ferreira

Freelance · Job · New_York

About the role

We've closed a new round of retail clients and their promo budgets are getting drained by coordinated coupon abuse rings faster than their marketing teams can react. This freelance engagement builds detection rules that flag account clustering, referral loop abuse, and code-sharing patterns across a client's promotional campaigns, delivered as a working model plus a report their fraud team can act on immediately.

Responsibilities

  • Build detection rules for coordinated promo code abuse patterns
  • Analyze account clustering and referral loop abuse signals
  • Deliver actionable reports to client fraud and marketing teams
  • Validate detection accuracy against confirmed abuse cases

Requirements

  • Experience with fraud or abuse detection on marketing or transaction data
  • Strong sql and spark for large-scale campaign datasets
  • Familiarity with snowflake-hosted data warehouses
  • Available for a defined multi-week project engagement

Benefits

  • Fully remote, project-based freelance work
  • Competitive project rate
  • Direct access to client fraud and marketing teams
  • Potential for repeat engagements across campaigns

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Categories

data science & analytics AI Business, Marketing & Strategy

Skills

python sql spark statistics snowflake

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Job Type

Freelance

Level

Mid-Level

Language

English

Salary Range

$80k – $100k / year

AI Expertise

data science & analytics AI Business, Marketing & Strategy

Skills

python sql spark statistics snowflake

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