Top Data & Analytics Jobs

As an Analytics Engineer at Peloton, you will build and maintain data models and infrastructure, ensuring data quality through monitoring and troubleshooting pipelines. You will work closely with stakeholders to develop Looker dashboards and documentation while promoting best practices within the team.

The Senior Data Scientist will own analytics for multiple core workstreams, collaborating with cross-functional teams to understand user interactions with Peloton products, define KPIs, evaluate engagement trends, and provide data-driven insights for product strategy and improvements.

The Machine Learning Infrastructure Engineer will drive ML infrastructure and operations, collaborating with ML Engineers and Data Scientists to support model development and deployment. Key responsibilities include building scalable infrastructure for model lifecycle management, creating an internal training platform, and deploying data stores for batch pipelines and real-time recommendations.