Data Scientist

San Jose, CA, US • Posted 3 hours ago • Updated 3 hours ago
Full Time
On-site
USD $98,900.00 - 228,700.00 per year
Fitment

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Job Details

Skills

  • Immigration
  • Expect
  • Modeling
  • Predictive Analytics
  • Revenue Growth
  • Sales
  • Data Collection
  • Analytical Skill
  • Data Quality
  • SQL
  • Python
  • Data Modeling
  • Machine Learning (ML)
  • Performance Tuning
  • Machine Learning Operations (ML Ops)
  • Amazon SageMaker
  • Vertex
  • Artificial Intelligence
  • Snow Flake Schema
  • Data Science
  • Analytics
  • Management
  • Finance
  • Collaboration
  • Recruiting
  • UPS
  • Privacy

Summary

Immigration sponsorship not available for this position
What you can expect

You will build intelligent systems that turn product data into growth insights. Working with advanced modeling and automation, you will scale predictive analytics across products. Your work drives smarter decisions that accelerate customer growth and retention.

About the Team

We deliver insights that power revenue growth. Our team works across Product, Sales, and Engineering to turn data into action. We help the business understand and predict customer behavior.

Responsibilities
  • Designing scalable data models and predictive systems that inform customer growth strategies.
  • Partnering with Product and Engineering teams to ensure reliable data collection and model deployment.
  • Building automated pipelines and monitoring frameworks to maintain model accuracy and performance.
  • Translating analytical findings into clear recommendations for business and product decisions.
  • Ensuring data quality and consistency across telemetry and analytics systems.

What we're looking for
  • Demonstrate strong proficiency in SQL and Python for data modeling and analysis.
  • Apply experience building and deploying machine learning models in production environments.
  • Use statistical and experimental methods to analyze and interpret product performance.
  • Collaborate effectively with cross-functional teams to translate data insights into business impact.
  • Manage model lifecycle processes, including monitoring, retraining, and performance optimization.
  • Leverage experience with MLOps tools such as MLflow, SageMaker, or Vertex AI.
  • Utilize data transformation and observability tools like dbt, Snowflake, or Great Expectations
  • Bring equivalent practical experience in data science, analytics, or related quantitative fields.

Salary Range or On Target Earnings:

Minimum:
$98,900.00

Maximum:
$228,700.00

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:

05/18/26

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.

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10516897
  • Position Id: 93a3e9aa021d22dfa067fe22ac6600fa
  • Posted 3 hours ago
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