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Top Data & Analytics Jobs in NYC, NY
Digital Media • Fitness • Hardware • Mobile • Software
As a Data Analyst at Peloton, you will collaborate with teams to translate challenges into data solutions, architect data models using dbt and LookML, and create self-service products. You will ensure data quality, identify trends, communicate insights to stakeholders, and make strategic recommendations to drive business goals.
Top Skills:
PythonSQL
Digital Media • Fitness • Hardware • Mobile • Software
As a Machine Learning Engineer at Peloton, you will focus on enhancing NLP/NLU capabilities, working on voice transcription, search algorithms, and building tools for dataset labeling. Collaborate with the team to implement machine learning techniques for personalized fitness content.
Top Skills:
PyTorchSpacyTensorFlow
Digital Media • Fitness • Hardware • Mobile • Software
As a Data Engineer at Peloton, you will build and maintain data pipelines, support analytics across business verticals, and collaborate on data platform advancements. You will also handle ETL/ELT processes, utilize big data architectures, and contribute to cross-functional initiatives.
Top Skills:
JavaPython
Digital Media • Fitness • Hardware • Mobile • Software
As a Data Scientist on the Product Analytics team at Peloton, you will analyze user interactions with Peloton products, lead A/B testing, define KPIs, and collaborate with cross-functional teams to enhance member engagement and feature development.
Top Skills:
PythonSQL
Digital Media • Fitness • Hardware • Mobile • Software
The Machine Learning Engineer will focus on optimizing personalization and recommendations for Peloton members by implementing and improving ML pipelines, evaluating machine learning models, conducting A/B tests, and collaborating with cross-functional teams to enhance user engagement through personalized content experiences.
Top Skills:
C/C++GoJavaKotlinPython
Digital Media • Fitness • Hardware • Mobile • Software
As a Machine Learning Infrastructure Engineer at Peloton, you will support ML development by creating scalable infrastructure solutions, collaborating with ML teams, and developing tools for ML model management, deployment, and experimentation.
Top Skills:
CC++JavaPython
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