Senior Data Scientist
Zoom · India
- Hybrid
- Full-time
- $150,000 / year
- India
Job highlights
- Build revenue intelligence engine for growth.
- Develop ML systems for go-to-market strategy.
- Design telemetry models and analyze user behavior.
- Manage MLOps lifecycle and A/B testing.
- Mentor junior scientists and present to executives.
About the role
Senior Data Scientist
This role involves engineering Zoom's Revenue Intelligence Engine to transform raw telemetry into actionable insights that drive customer growth, retention, and expansion. Responsibilities include building scalable systems for lead scoring, expansion modeling, and churn prediction within a multi-product SaaS environment. Tasks span data exploration, model development, deployment, monitoring, and strategic storytelling. Collaboration with Product and Data Engineering ensures telemetry contracts, reusable analytics frameworks, and production-ready models. Efforts include investigating conversion issues and presenting findings to executives. The work directly influences revenue by supporting Sales, Product, and CS teams with data-driven decision-making tools.
About The Team
This role sits within the Revenue Intelligence team, focused on building the data foundation and ML systems that drive Zoom’s go-to-market strategy. The team partners with Sales, Product, Customer Success, and Data Engineering to ensure that the right signals reach the right people at the right time — from PQL scores surfaced in the GTM stack to experimentation insights delivered to Product leadership.
Responsibilities
- Designing telemetry models to predict user journey transitions and support growth initiatives.
- Conducting exploratory data analysis and diagnosing trends like conversion drops or churn spikes.
- Managing the MLOps lifecycle, including retraining pipelines and model registry oversight.
- Defining batch and real-time inference strategies for model serving architecture.
- Maintaining dashboards, alerts, and incident response protocols for model performance.
- Establishing data validation frameworks and ensuring schema and data quality standards.
- Develop analytics design systems and own experimentation — standardize metric definitions across products, build modular dbt data models, and own the full A/B testing lifecycle from design to ship/no-ship recommendations
- Mentor and communicate at scale — guide junior data scientists, maintain model cards and runbooks, and present findings and business recommendations to VP/C-level stakeholders
What we’re looking for
Required Qualifications
- 8+ years of experience in product analytics or applied data science with education in Statistics, Data Science, Computer Science, Economics, or a related quantitative field.
- Demonstrate expertise in SQL and Python with advanced querying and data modeling skills.
- Build, deploy, and monitor ML models with a solid foundation in statistics and experimentation.
- Work with telemetry and event data to model user behavior effectively.
- Leverage MLOps platforms like MLflow, SageMaker, or Vertex AI for production environments.
- Utilize data transformation tools such as dbt and Snowflake for analytics workflows.
- Apply business intuition to growth, conversion funnels, and customer lifecycle challenges.
- Develop A/B testing frameworks to inform product and business decisions.
- Communicate insights clearly to stakeholders, including VP and executive-level audiences.
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.
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.
Key skills/competency
- Senior Data Scientist
- Revenue Intelligence
- MLOps
- Python
- SQL
- dbt
- Snowflake
- A/B Testing
- Predictive Modeling
- User Behavior Analysis
Skills & topics
- Senior Data Scientist
- Data Science
- Machine Learning
- Python
- SQL
- MLOps
- dbt
- Snowflake
- A/B Testing
- Revenue Intelligence
- SaaS
- Analytics
- Statistics
- Computer Science
- Growth
- Retention
- Churn Prediction
How to get hired
- Tailor your resume: Highlight 8+ years of experience in data science, SQL, Python, and ML model deployment.
- Showcase technical skills: Emphasize expertise in MLOps platforms, dbt, Snowflake, and A/B testing frameworks.
- Quantify impact: Provide examples of how your work drove customer growth, retention, or expansion.
- Demonstrate communication: Prepare to present complex findings clearly to executive-level stakeholders.
- Understand Zoom's culture: Research Zoom's commitment to collaboration and customer-centricity.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the core responsibilities of a Senior Data Scientist at Zoom?
- As a Senior Data Scientist at Zoom, you will engineer the Revenue Intelligence Engine, build scalable systems for lead scoring, expansion modeling, and churn prediction, explore data, develop and deploy ML models, and present findings to executives. You will also mentor junior data scientists and establish data quality standards.
- What technical skills are essential for this Senior Data Scientist role at Zoom?
- Essential technical skills include advanced SQL and Python, expertise in building, deploying, and monitoring ML models, experience with MLOps platforms (like MLflow, SageMaker, or Vertex AI), proficiency with data transformation tools (dbt, Snowflake), and a strong foundation in statistics and experimentation.
- What is the expected experience level for the Senior Data Scientist position at Zoom?
- Zoom is looking for candidates with 8+ years of experience in product analytics or applied data science. A relevant educational background in Statistics, Data Science, Computer Science, Economics, or a related quantitative field is also required.
- How does Zoom support work-life balance for its Senior Data Scientists?
- Zoom promotes a structured hybrid approach, balancing office and remote work. Their benefits program is designed to support employees' physical, mental, emotional, and financial health, aiming to achieve a healthy work-life balance.
- What kind of impact can a Senior Data Scientist make at Zoom?
- A Senior Data Scientist at Zoom directly influences revenue by providing data-driven tools to Sales, Product, and CS teams. Your work will drive customer growth, retention, and expansion through actionable insights derived from the Revenue Intelligence Engine.
- What are the opportunities for career growth for a Senior Data Scientist at Zoom?
- Zoom fosters a collaborative, growth-focused environment with opportunities to stretch skills and advance careers. As a Senior Data Scientist, you will have the chance to mentor junior team members and present to executive leadership, offering significant professional development.
- How are interviews conducted at Zoom for the Senior Data Scientist role?
- Zoom utilizes BrightHire, a tool that assists in creating a consistent and thoughtful interview experience, which may include recordings. They are committed to fair hiring practices and ensuring candidates are evaluated on skills, experience, and potential.