Data Scientist
Core
Define metrics, design A/B tests, and analyze product/agent performance to measure real-world impact on client outcomes.
Role type
Senior Product Data Scientist (AI/ML focus)
Builds
Dashboards, self-serve tools, statistical models, and analytical frameworks for product and ML decisions.
Domain
AI infrastructure, autonomous agents, enterprise operations
Deliverable
dashboards & analysis
Required skills
experimental design, A/B testing, causal inference, SQL, Python, product metrics definition, root-cause analysis, statistical modeling
Preferred skills
LLMs/AI agents evaluation, unstructured data analysis, enterprise B2B product experience, modern analytics infrastructure
Technologies
SQL, Python, experimentation platforms, data warehouses, business intelligence tools
Responsibilities
Define and track product/agent metrics; design and interpret A/B tests; connect offline model evaluations with production performance; build dashboards and analytical tools; investigate anomalies and regressions; partner with Engineering to improve instrumentation and data quality.
Seniority
Senior, hands-on IC