Position Details
About this role
Senior Data Scientist in Intercom's RAD team drives data-informed decision making by partnering with product teams, designing and building end-to-end data pipelines, and delivering scalable self-serve insights.
Key Responsibilities
- Partner with product teams to define questions and metrics; build end-to-end data pipelines; develop product success metrics; shape semantic layers and self-serve interfaces; craft data stories for across R&D and broader company
Technical Overview
Focus on analytics, data pipelines, and data products; uses SQL, Python, statistics; leverages AI-assisted tooling to accelerate analysis and storytelling; works with product managers, designers, and engineers.
Ideal Candidate
The ideal candidate has 5+ years of data experience, strong SQL and statistics background, and a track record building data pipelines and self-serve analytics to influence product decisions.
Must-Have Skills
Nice-to-Have Skills
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 5 years of data experience, Weak SQL or statistics background, No experience building data pipelines
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