As a Senior Data Scientist, Product Analytics, you will build the analytics foundation enabling fast, confident, and measurable decisions.
Own the full product analytics lifecycle: defining product success metrics, shaping instrumentation strategies, building canonical datasets, etc.
Partner closely with Product and Engineering to embed analytics into every release.
Define the questions, build frameworks to answer them at scale, and help operationalize Product Analytics as a core capability.

Requirements

Bachelor's degree in Computer Science, Engineering, Statistics, or a related field, or equivalent practical experience.
3+ years of professional experience as a Data Scientist.
Advanced SQL and Python
Experience with data orchestration tools (e.g., Airflow).
Experience with Git/GitHub
Proficiency in modern data warehouses (e.g., Clickhouse).
Familiarity with data modeling, warehousing principles, and BI tools (e.g., Thoughtspot, Mode Analytics).

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythondata orchestrationdata modelingdata warehousingBI toolsClickhouseAirflowGitGitHub

Soft Skills

analytical thinkingcollaborationcommunicationproblem-solvingdecision-making