Data Scientist, Product

Required

• A bachelor’s degree in a behavioral or quantitative field, or equivalent practical experience, with a strong statistical foundation.
• 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.
• 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.
• Fluency using AI across exploration, analysis, experimentation, and modeling, including providing relevant context, debugging incorrect outputs, and converting repeatable work into reliable workflows.
• 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.