Senior Data Scientist — Growth & Retention ML (Remote)

Socket.dev; San Jose (CA); Hybrid; USD 124,000 - 271,000; Full time

Benefits offered by this job

Hybrid work options

Comprehensive benefits

Job summary

Zoom is seeking an experienced product analytics/data science professional to build production ML systems that predict customer growth and retention signals. You will collaborate across engineering, product, and go-to-market teams, deploying scalable ML models and automated data pipelines with measurable business impact.

You will translate complex results into clear narratives for senior leadership and help shape revenue strategy through data-driven insights.

Qualifications

• 7+ years in product analytics or applied data science.
• Proficiency in Python (including ML libraries) and SQL for data modeling and production mdelvelopment.
• Experience building, deploying, and monitoring ML models in production with business impact.
• Strong foundations in statistics, experimentation design, and causal inference.
• Experience with product telemetry or event-stream data to model user behavior.

Responsibilities

• Build and deploy end-to-end ML models that score expansion likelihood and churn risk, informing revenue strategy.
• Design and maintain automated pipelines for retraining, monitoring, and incident response at scale.
• Partner with engineering and product to define telemetry schemas and data contracts for high-quality inputs.
• Conduct exploratory analyses and experiments to diagnose conversion changes and inform senior leadership.
• Communicate findings and model outcomes to cross-functional stakeholders clearly.

Skills

Python ML libraries

SQL

Statistics

Causal inference

Data modeling

Stakeholder comms

Experiment design

Tools

MLflow

SageMaker

Vertex AI

dbt

Snowflake

Job description

Zoom is seeking an experienced product analytics/data science professional to build production ML systems that predict customer growth and retention signals. You will collaborate across engineering, product, and go-to-market teams, deploying scalable ML models and automated data pipelines with measurable business impact.

You will translate complex results into clear narratives for senior leadership and help shape revenue strategy through data-driven insights.