Data Scientist (Analytics)
Core
Build and scale internal analytics capabilities by creating dashboards, models, and insights to power business and product teams.
Role type
Senior Data Scientist (Analytics & BI)
Builds
Production-grade dashboards, metrics definitions, and analytical models for capacity, availability, ROI, adoption, and revenue.
Domain
AI Infrastructure / Developer Platforms / SaaS
Deliverable
dashboards & analysis
Required skills
SQL, medallion data architecture design, data transformation, stakeholder requirement gathering, forecasting, experimentation design
Preferred skills
AI infrastructure experience, time-series forecasting (ARIMA/Prophet), model-serving workflows, test design
Technologies
dbt, Airbyte, Databricks
Responsibilities
Define and instrument core metrics around capacity, availability, ROI, product adoption, revenue and costs; Ingest and transform raw data using tools like dbt, Airbyte, and Databricks; Analyze product, operational and commercial data to identify opportunities and quantify tradeoffs; Present findings and recommendations to technical and nontechnical audiences including company leaders.
Seniority
Senior, hands-on IC