Data Scientist, Product Analytics
New York City
Applications have closed
Peloton
Access high-energy workouts, instantly. Discover Peloton: streaming fitness classes to you live and on-demand.ABOUT THE ROLE
Peloton is seeking a Product Analyst/Data Scientist on the Product Research & Analytics team to support the innovation, iteration, and optimization of our engagement products. This Product Analyst/Data Scientist will work as part of a cross-functional team of Product Managers, Engineers, Designers, and User Researchers to better understand how members are interacting with Peloton products and to inform and evaluate new features and experiences developed by the Product team.
YOUR DAILY IMPACT AT PELOTON
- Own analytics for one to three core workstreams, from metrics definition and data instrumentation design to ongoing reporting, investigation, and generative research
- Collaborate with Product Managers, User Researchers, Designers, and Engineers to lead experimentation processes: designing and measuring A/B tests that help us understand the impact of new/alternate versions of features on user behavior
- Develop a deep understanding of user personas, fitness routines, and retention drivers for our members
- Evaluate engagement trends across markets - compare workout/content engagement and feature usage among members within our growing global community
- Become an expert on your workstreams: provide insight into behaviors and difficulties of members on their journey from app download through sustained long-term engagement; help guide roadmap and evaluation of new features to enhance this user journey
- Partner with cross-functional Product and Business teams on research & development efforts related to software improvements and new market expansion
- Work in a lean and agile way, focusing on team members' desired outcomes over granular tasks and continuously assessing tradeoffs between precision and action-ability
YOU BRING TO PELOTON
- BA/BS degree, preferably in a technical field
- Have 3+ years of overall experience in an analytics capacity with a focus on problem-solving and providing concrete insights; some experience conducting analysis with a product/UX focus is desirable (an advanced degree may contribute to years of experience)
- Have solid technical skills when it comes to data wrangling and handling large datasets: can use SQL for data extraction (including sophisticated joins, CTE, and query optimization), and have a solid understanding of Python syntax required for data cleaning and exploratory analysis (e.g. pandas, numpy)
- Have experience with A/B testing and have demonstrated experience designing and assessing experiments
- Have an understanding of statistics and data science methodologies (e.g. hypothesis testing, regressions, and other machine learning techniques such as clustering)
- Have proven experience defining and owning project success metrics
- Have a passion for data storytelling via decks and dashboards and a proven ability to efficiently relay your insights to non-technical audiences and senior leadership
- Comfortable handling your project timelines, prioritizing tasks with user and business impact in mind, assessing speed/precision tradeoffs, and proactively communicating project statuses to collaborators and teammates
- Work well collaboratively, both in a cross-functional context - with Product Managers, Project Managers, User Researchers, Designers, and Engineers - and as a part of joint research projects with Product Analytics teammates
- Are curious, ask good questions, are always excited to learn new methods, approaches, and perspectives, and are eager to investigate exciting trends in the data
BONUS
- Previous experience working on a product analytics team for a B2C software or software+hardware product
- Solid understanding of event-based data collection and related technical concepts (e.g. SDK, device vs. cloud mode, schema management) and tools (e.g. Segment)
- Experience with product analytics SaaS tools (e.g. Amplitude, Mixpanel, Pendo, etc.)
- Understanding of adjacent quantitative and qualitative research methods and techniques (e.g. usability testing, concept testing, market sizing, etc.)
#LI-JB2
ABOUT PELOTON:
Peloton is the leading interactive fitness platform globally, with a passionate community of nearly 7 million Members in the US, UK, Canada, Germany, and Australia. Peloton makes fitness entertaining, approachable, effective, and convenient, while fostering social connections that motivate its Members to commit to their fitness journeys. An innovator at the nexus of fitness, technology, and media, Peloton reinvented the fitness industry by developing a first-of-its-kind subscription platform that seamlessly combines the best equipment, proprietary networked software, world-class streaming digital fitness and wellness content, and best-in-class fitness experts and Instructors..
Peloton is an equal opportunity employer and committed to creating an inclusive environment for all of our applicants. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address.
If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence.
Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Agile Amplitude Clustering Consulting Machine Learning NumPy Pandas Python R&D Research SQL Statistics Streaming Testing UX
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Data Engineer II jobs
- Open Junior Data Scientist jobs
- Open Senior Data Architect jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Manager jobs
- Open Data Quality Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open CI/CD-related jobs