Senior Data Scientist
Role details
Job location
Tech stack
Job description
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.
Requirements
Demonstrate deep proficiency in Python (including ML libraries) and SQL for data modeling, analysis, and production model development.
Essential
Show experience building, deploying, and monitoring machine learning models in production environments with real business impact.
Essential
Apply solid foundations in statistics, experimentation design, and causal inference to ambiguous business problems.
Essential
Exhibit experience working with product telemetry or event-stream data to model user behavior and lifecycle transitions.
Essential
Communicate complex technical findings clearly to non-technical stakeholders, including senior leadership.
Essential
Operate MLOps platforms (such as MLflow, SageMaker, or Vertex AI) and data transformation tools (such as dbt or Snowflake), or demonstrate equivalent practical experience.
Non Essential
Bring experience with model serving frameworks, data quality tooling, or observability platforms in a SaaS environment.
Non Essential
Guide early-career team members through code review, pairing, and knowledge sharing to elevate collective team capability.
Benefits & conditions
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, $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.