Data Scientist – Product Analytics

Data Scientist – Product Analytics

Requirements

• BA/BS degree, preferably in a technical field
• 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 supply to years of experience)
• Solid technical skills when it comes to data wrangling and handling large datasets: can use SQL for data extraction (including sophisticated joins, CTE, window functions and query optimization), and have a proven understanding of Python syntax required for data cleaning and exploratory analysis (e.g. pandas, numpy)
• Experience with A/B testing and have demonstrated experience designing and assessing experiments
• Understanding of statistics and data science methodologies (e.g. hypothesis testing, regressions, and other machine learning techniques such as clustering)
• Experience defining and owning project success metrics
• Ability to efficiently communicate insights to non-technical audiences and senior leadership
• Comfortable leading project timelines, prioritizing tasks with user and business impact in mind, and proactively communicating project statuses to collaborators and teammates
• Work well collaboratively in a cross-functional context
• Curious and humble: ask good questions, are always excited to learn new methods, approaches, and perspectives, and are eager to investigate interesting trends in the data
• 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.)
• Experience with social engagement features/products, growth loops, network effects and product virality
• Understanding of adjacent quantitative and qualitative research methods and techniques (e.g. usability testing, concept testing, market sizing, etc.)

Responsibilities

• Own analytics for one core workstream on Peloton digital apps, from metrics definition and data instrumentation design to ongoing reporting, investigation, and generative research
• Be a key contributor to strategic decisions and roadmap formation for workstream
• 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
• Define and own reporting and interpretation of KPI’s & metrics for workstream, feature launches and A/B tests
• 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 authority on your workstream: 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
• 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

Preferred Qualifications

• Some experience conducting analysis with a product/UX focus is desirable
• Previous experience working on a product analytics team for a B2C software or software+hardware product