Senior Data Scientist
Zoom Communications, Inc.
IndiaremotePosted 1 month ago
Z
Skill Required
Data-ScientistRevenue-AnalyticsProduct-AnalyticsMachine-Learning-EngineeringGrowth-AnalyticsSenior-Data-ScienceSenior-Staff-Data-ScientistSenior-Machine-Learning-Data-ScientistSenior-Data-Scientist-JobsSenior-Data-Science-SpecialistSenior-Manager-Data-ScienceSenior-Data-Science-EngineerSenior-Director-Data-ScienceData ScientistSOCdata engineeringDesign SystemStatisticsEngineeringObservabilitySnowflakedesigninganalyticsMLflowbuildingTestNGPythondesignDesign PatternsMachine LearningdbtSQLandGoAIFulltime
Key highlights
- Required: 8+ years of experience in product analytics or applied data science
- Required expertise: SQL, Python, ML modeling, MLOps platforms (MLflow, SageMaker, or Vertex AI), dbt, and Snowflake
- Hybrid work approach centered around offices and remote work environments
- Benefits program supporting physical, mental, emotional, and financial health, plus work-life balance and community contribution
- Role involves collaboration with Sales, Product, Customer Success, and Data Engineering teams
- Responsibilities include presenting findings and business recommendations to VP/C-level stakeholders
Role overview
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, with tasks spanning data exploration, model development, deployment, monitoring, and strategic storytelling. The role sits within the Revenue Intelligence team, which builds the data foundation and ML systems driving Zoom's go-to-market strategy. The team partners with Sales, Product, Customer Success, and Data Engineering to ensure 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.
- Collaborate with Product and Data Engineering to ensure telemetry contracts, reusable analytics frameworks, and production-ready models.
- Investigate conversion issues and present findings to executives.
- Support Sales, Product, and CS teams with data-driven decision-making tools that directly influence revenue.
Requirements
- 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.
Benefits
- As part of Zoom's award-winning workplace culture and commitment to delivering happiness, the benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health.
- Benefits support work-life balance.
- Benefits contribute to employees' community in meaningful ways.
Additional details
- Ways of Working: structured hybrid approach centered around Zoom offices and remote work environments; the work style of each role (Hybrid, Remote, or In-Person) is indicated in the job description/posting.
- About Zoom: Zoomies help people stay connected so they can get more done together; Zoom set out to build the best collaboration platform for the enterprise and helps people communicate better with products including Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
- Zoom is a problem-solver-focused organization that works at a fast pace to design solutions with customers and users in mind, offering opportunities to stretch skills and advance careers in a collaborative, growth-focused environment.
- Zoom is committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential.
- If an accommodation is required during the hiring process, candidates can let Zoom know and the company will support them at every step.
- Applicants who require an accommodation due to a qualifying medical disability can submit an Accommodations Request Form, and someone from Zoom's team will reach out soon.
- Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through the Accommodations Request Form.
- Interviews are supported by BrightHire, a tool that helps Zoom create a consistent and thoughtful interview experience and may include recordings.
- Candidates should refer to Zoom's candidate privacy statement for more information on how their data is used.
- The role was originally posted on Himalayas.