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AI Retail Loyalty Program Churn Predictor

Sophia Ferreira

Full-time · Job · New_York

About the role

We serve over 200 enterprise clients in the retail and grocery sector. The person in this role will help us answer a question our clients ask constantly: which loyalty members are about to stop redeeming points? Our existing demand forecasting models are strong, but loyalty churn has been handled with basic rule-based flags until now. You'll build the first proper predictive model for this, working under the guidance of our senior data science lead while owning the end-to-end pipeline from raw transaction logs to a churn risk score.

Responsibilities

  • Build and validate a churn prediction model for retail loyalty program members
  • Clean and join transaction, redemption, and enrollment datasets
  • Present model results and risk segments to client success managers
  • Support monthly retraining as new transaction data arrives

Requirements

  • 1-2 years of hands-on experience with Python and pandas for data analysis
  • Basic understanding of classification models and evaluation metrics
  • Comfortable writing SQL queries against large transactional tables
  • Eagerness to learn retail domain specifics from senior teammates

Benefits

  • Fully remote position
  • Mentorship from senior data scientists
  • Health insurance
  • Home office stipend
  • Career growth path into senior analyst roles

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Categories

data science & analytics AI Product & Strategy

Skills

python sql pandas statistics scikit-learn

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Job Type

Full-time

Level

Junior

Language

English

Salary Range

$60k – $80k / year

AI Expertise

data science & analytics AI Product & Strategy

Skills

python sql pandas statistics scikit-learn

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