Senior Data Scientist
Remote (IND)remotesenior
via Workday
About this role
What you can expect This role involves engineering Zoom's Revenue Intelligence Engine to transform raw telemetry into actionable insights that drive customer growth, retention, and expansion. Responsibilities include building scalable systems for lead scoring, expansion modeling, and churn prediction within a multi-product SaaS environment. Tasks span data exploration, model development, deployment, monitoring, and strategic storytelling. Collaboration with Product and Data Engineering ensures telemetry contracts, reusable analytics frameworks, and production-ready models. Efforts include investigating conversion issues and presenting findings to executives. The work directly influences revenue by supporting Sales, Product, and CS teams with data-driven decision-making tools.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, sql, snowflake, sagemaker, dbt…
2
Level fit
This role is senior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is remote-eligible — we factor in your stated location and time-zone overlap.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonsqlsnowflakesagemakerdbtmlflowvertex aiteamszoom