Data Scientist

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

• 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., Analysis Skills, Artificial Intelligence (AI), Call Centers, Code Reviews, Communication Skills, Cross-Functional, Customer Retention/Renewal, Customer/Consumer Behavior, Data Analysis, Data Modeling, Data Quality, Data Science, Identify Issues, Incident Response, Leadership, Machine Learning, Machine Tool, Problem Solving Skills, Product Documentation, Production Machining, Production Systems, Python Programming/Scripting Language, Revenue Growth, Risk, SQL (Structured Query Language), Sales, Snowflake Schema, Software as a Service (SaaS), Statistics, Systems Reliability, Telemetry, Transformation Tools, Webinar, Work From Home

$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

At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!

Anticipated Position Close Date, 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.

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.

Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.