Senior Data Scientist

Zoom • San Jose, CA

8d • $124,000 - $271,200

About The Position

The Senior Data Scientist will build production machine-learning systems that predict customer growth and retention signals, partnering with engineering, sales, and product teams and using scalable MLOps practices. The role directly influences revenue strategy through automated, data-driven scoring and insights. The team delivers predictive intelligence for revenue growth decisions and turns product usage data into actionable business outcomes through collaboration across data engineering, product, and go-to-market functions.

Requirements

• 7+ years in product analytics or applied data science.
• Deep proficiency in Python, including machine-learning libraries, and SQL for data modeling, analysis, and production model development.
• Experience building, deploying, and monitoring machine-learning models in production environments with real business impact.
• Strong foundations in statistics, experimentation design, and causal inference applied to ambiguous business problems.
• Experience working with product telemetry or event-stream data to model user behavior and lifecycle transitions.
• Ability to communicate complex technical findings clearly to non-technical stakeholders, including senior leadership.

Nice To Haves

• Experience operating MLOps platforms such as MLflow, SageMaker, or Vertex AI, and data transformation tools such as dbt or Snowflake, or equivalent practical experience.
• Experience with model-serving frameworks, data-quality tooling, or observability platforms in a SaaS environment.
• Ability to guide early-career team members through code review, pairing, and knowledge sharing.

Responsibilities

• Build and deploy end-to-end machine-learning models, from exploration through production, to score customer expansion likelihood and churn risk and inform revenue strategy.
• Design and maintain automated pipelines for model retraining, monitoring, and incident response to ensure prediction accuracy and system reliability at scale.
• Partner with engineering and product teams to define telemetry schemas and data contracts, ensuring high-quality inputs for longitudinal user behavior modeling.
• Conduct exploratory analyses and experiments to diagnose conversion changes, validate product hypotheses, and deliver actionable recommendations to senior leadership.
• Communicate findings and model outcomes to cross-functional stakeholders, translating complex results into clear narratives that guide sales, product, and customer success decisions.

Benefits

• The benefits program offers a variety of perks, benefits, and options to support employees' physical, mental, emotional, and financial health, work-life balance, and meaningful community contribution.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed