Data Scientist (Product)

• Embed with either the iOS or web team from planning through launch, defining hypotheses, success criteria, core metrics, and measurement approaches while partnering with Engineering and Data Engineering on instrumentation and data quality
• Lead analysis to uncover patterns in product and user behavior, prioritize high-leverage opportunities, recommend actions, and measure realized impact
• Design and evaluate A/B tests and other product measurements, setting appropriate guardrails and turning results into decisions
• Create executive-ready visualizations, dashboards, experiment readouts, and decision memos that drive alignment on what happened and what the team should do next
• Build machine learning and statistical models to solve core user problems, improve the product experience, and deliver measurable user impact
• Design AI-native tools, systems, and automated workflows that accelerate data science and analytics while enabling self-service capabilities

Benefits

• Comprehensive medical, dental, and vision plans
• We’ve done team off-sites to places like Paris, London, Park City, Los Angeles, and Nashville with more planned in the future
• Anything you need to do your best work- Fluency using AI across exploration, analysis, experimentation, and modeling, including providing relevant context, debugging incorrect outputs, and converting repeatable work into reliable workflows
• 3+ years of experience in product analytics or product data science, acting as the analytics voice within a consumer product team
• High proficiency in SQL and either Python or R, including libraries such as pandas, NumPy, SciPy, or Tidyverse, with strong data-model reasoning and the ability to write and understand analytical code
• A bachelor’s degree in a behavioral or quantitative field, or equivalent practical experience, with a strong statistical foundation
• Experience applying statistical analysis, experimental design, causal inference, and machine learning to product problems, with the judgment to choose an appropriately simple method and translate the result into a specific, actionable recommendation
• Strong written and verbal communication skills, including the ability to explain uncertainty and limitations, persuade technical and nontechnical partners, and lead decisions through to action
• Experience with iOS or web analytics, including instrumentation, release measurement, funnels, or experimentation
• Experience with dbt, cloud data warehouses, and large event datasets
• Experience applying product analytics to a consumer creative product
• Experience building reusable AI-powered data science systems, such as agents, orchestration layers, automated analyses, or evaluation and review workflows
• Strong user empathy, curiosity, and excitement about learning in a fast-moving environment
• A proactive, independent working style: you pursue leads, find the people and context you need, operate through ambiguity, and follow work through from recommendation to action