Data Scientist – Fitness Analytics (New Grad) – Peloton
Peloton (NASDAQ: PTON) is the connected fitness platform connecting 6+ million members to world-class instructors through its iconic Bike, Tread, Row, and Guide hardware — and a library of 50,000+ on-demand and live fitness classes. Peloton's hardware sensors capture heart rate, cadence, power output, and resistance data during every workout, creating one of the richest sports performance datasets in the consumer fitness industry. Peloton uses this data to build personalized fitness recommendations, predict member churn, and develop the Peloton Health Scores quantifying fitness improvement. We are hiring New Grad Data Scientists in New York to build the analytics powering Peloton's connected fitness ecosystem.
Responsibilities
- Build member engagement and retention prediction models — using workout frequency, class completion, output trend, and feature adoption data to predict churn risk with 90+ day lead time
- Develop fitness progression models analyzing heart rate, cadence, and power output trends to measure individual member fitness improvement and generate personalized goal recommendations
- Build class recommendation systems — collaborative filtering and content-based models recommending the next Peloton class based on member fitness history, instructor preference, and workout cadence
- Analyze instructor performance analytics — modeling class completion rates, member satisfaction scores, and replay rates to identify high-performing instructors and class formats
- Develop Peloton's health score models integrating VO2 max estimates, resting heart rate trends, and workout consistency into a composite fitness progress metric
- Conduct A/B test analysis for Peloton's product experiments — measuring the impact of new features, pricing changes, and notification strategies on engagement and subscription retention
Requirements
- Bachelor's or Master's degree in Data Science, Statistics, Sports Science, or Computer Science
- Python and SQL proficiency for fitness data analysis and ML model development
- Strong statistical skills — A/B testing, causal inference, survival analysis for subscription churn
- Understanding of recommendation systems, time-series analysis, or wearable health data
- Passion for fitness, wellness, and using data to help people achieve their health goals
Benefits
- Competitive salary with Peloton RSU equity and annual bonus
- Free Peloton Bike, Tread, or Row hardware for employees
- All-access Peloton membership for employees and household members
- Medical, dental, and vision benefits
- 401(k) with Peloton matching