Data Scientist
Core
Inform strategy, define success metrics, and drive business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling to help product and business teams.
Role type
Data Scientist
Builds
Production ML models, data warehouse metrics, and experimental analysis for product features
Domain
Productivity software / Data Science
Deliverable
production ML models | dashboards & analysis | product features
Required skills
Statistics, experimental design and analysis, SQL, relational data modeling, Python or Scala, distributed data processing (Spark/Redshift), advanced statistical modeling (GLM, mixed effects)
Preferred skills
Experience with search ranking/relevance measurement, curiosity about AI tools
Responsibilities
Design and analyze experiments to measure product feature impact, investigate high-level customer collaboration patterns, add metrics and aggregations to the data warehouse, build models to predict customer segment growth, partner with cross-functional stakeholders to drive data-informed decision-making
Seniority
Mid-level, hands-on IC
