7+ years product analytics or data science experience
Deep proficiency in python and sql
Experience building and monitoring ml models in production
The role involves building end-to-end machine learning models that score customer expansion likelihood and churn risk to directly inform revenue strategy
Job Summary
The role involves building end-to-end machine learning models that score customer expansion likelihood and churn risk to directly inform revenue strategy.
Candidates will partner across engineering, sales, and product teams to define telemetry schemas and ensure high-quality data inputs for longitudinal user behavior modeling.
Zoom offers a structured hybrid work environment with a total direct compensation philosophy including base salary, bonus, and equity value.
Matching Summary
The role involves building end-to-end machine learning models that score customer expansion likelihood and churn risk to directly inform revenue strategy.
Salary
Base: $124,000.00 - $271,200.00; Bonus/Equity: Included in Total Direct Compensation; Benefits: Comprehensive perks for physical, mental, and financial health
Skills & Requirements
Must-have
7+ years product analytics or data science experience
Deep proficiency in Python and SQL
Experience building and monitoring ML models in production
Solid foundations in statistics and causal inference
Experience with product telemetry and event-stream data
Nice-to-have
Experience with MLOps platforms like MLflow or SageMaker
Knowledge of model serving frameworks and observability tools
Ability to guide early-career team members through code review
Experience with dbt or Snowflake data transformation tools
Key Requirements
7+ years in product analytics or applied data science
Proficiency in Python ML libraries and SQL
Production deployment and monitoring experience
Strong statistical and experimentation design skills