Senior Data Scientist, PXT Analytics
Core
Define metrics and measurement frameworks to measure and improve developer productivity and technology efficiency across engineering initiatives.
Role type
Senior IC data scientist (developer productivity & analytics)
Builds
Production ML models, dashboards, reports, and analytics engineering pipelines for developer experience initiatives
Domain
Software engineering / Developer productivity / Data analytics
Required skills
Data analysis, statistical modeling, machine learning, data mining, SQL, Python, data warehousing, metric definition, hypothesis testing, dashboard design, analytics engineering
Preferred skills
Agile methodologies, analytics engineering orchestration, software delivery metrics, AI-assisted coding, interactive visualization, mentoring
Technologies
Airflow, Redshift, CI/CD, Claude Code, Copilot, Databricks, GitHub, JIRA, Looker, Machine Learning, Python, SQL, Snowflake, Tableau, dbt
Responsibilities
Partner with product managers and engineers to translate business goals into measurable productivity frameworks; Analyze large datasets (CI/CD logs, developer activity) to uncover trends and bottlenecks; Build models measuring the productivity impact of AI-assisted development and CI/CD enhancements; Design and run experiments to test hypotheses on tool adoption and workflow changes; Create and maintain dashboards and reports on key efficiency metrics; Build and maintain scalable analytics engineering pipelines
Seniority
Senior, hands-on IC
