Senior Full Stack Data Scientist to help shape product analytics and ML tooling.
Partner with Product Management and Engineering to design metrics and workflows.
Build data models and production pipelines with telemetry.
Develop analytics/ML/causal inference frameworks to reveal usage patterns and improvements.
Evaluate surfaces (Notebooks/ worksheets/ dashboards) to disseminate insights.
Influence decisions with PM/Engineering and report to executives as needed.

🎯 Requirements

MS/PhD in quantitative field; 8+ years of data science experience.
Expert SQL & Python with scikit-learn, numpy, pandas.
Experience with large-scale machine-generated data.
Fluent with MPP databases (Snowflake, Redshift, BigQuery, Vertica).
Strong data-driven storytelling to influence leaders.
Adaptable and proactive in a dynamic environment.

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