Senior Data Scientist

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

Immigration sponsorship is not available for this position.

What you can expect

You will build production machine-learning systems that predict customer growth and retention signals. You will partner across engineering, sales, and product teams using scalable MLOps practices. You will directly influence revenue strategy through automated, data-driven scoring and insights.

About the Team

Our team delivers predictive intelligence that drives revenue growth decisions. We collaborate across data engineering, product, and go-to-market functions. We exist to turn product usage data into actionable business outcomes.

Responsibilities

• Building and deployingend-to-end machine learning models — from exploration through production — that score customer expansion likelihood and churn risk, directly informing revenue strategy.
• Designing and maintainingautomated pipelines for model retraining, monitoring, and incident response, ensuring prediction accuracy and system reliability at scale.
• Partnering with engineering and product teamsto define telemetry schemas and data contracts, ensuring high-quality inputs that support longitudinal user behavior modeling.
• Conducting exploratory analyses and experimentsto diagnose conversion changes, validate product hypotheses, and deliver actionable recommendations to senior leadership.
• Communicating findings and model outcomesto cross-functional stakeholders, translating complex results into clear narratives that guide sales, product, and customer success decisions.

What we’re looking for

• 7+ years in product analytics or applied data science
• Demonstrate deep proficiency in Python (including ML libraries) and SQL for data modeling, analysis, and production model development.
• Show experience building, deploying, and monitoring machine learning models in production environments with real business impact.
• Apply solid foundations in statistics, experimentation design, and causal inference to ambiguous business problems.
• Exhibit experience working with product telemetry or event-stream data to model user behavior and lifecycle transitions.
• Communicate complex technical findings clearly to non-technical stakeholders, including senior leadership.

Nice to have

• Operate MLOps platforms (such as MLflow, SageMaker, or Vertex AI) and data transformation tools (such as dbt or Snowflake), or demonstrate equivalent practical experience.
• Bring experience with model serving frameworks, data quality tooling, or observability platforms in a SaaS environment.
• Guide early-career team members through code review, pairing, and knowledge sharing to elevate collective team capability.

Salary Range or On Target Earnings:

Minimum:

$124,000.00

Maximum:

$271,200.00

In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.

Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.

We also have a location based compensation structure; there may be a different range for candidates in this and other locations

Anticipated Position Close Date:

09/18/26

Ways of Working

Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.

Benefits

As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.

About Us

Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.

Our Commitment

At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.

If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

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