Data Scientist Marketing

Zoom
San Jose (CA)Posted 16 March 2026

Job Description

What you can expect This role will drive revenue growth through sophisticated data analysis, predictive modeling, and AI-powered insights. You will transform complex marketing data into actionable strategies that optimize customer acquisition, retention, and lifetime value. Working closely with Marketing leadership, you will leverage advanced statistical methods, machine learning, and large language models to unlock new opportunities and maximize marketing ROI. About the Team Zoom's Information Technology team is dedicated to delivering customer happiness, enhancing business efficiency, and fostering agility through innovation, data insights, and automation. Our impact is evident in seamless user experiences, streamlining processes, and supporting Zoom's growth in communication and collaboration. Responsibilities Conducting advanced inferential statistical analysis to measure marketing campaign effectiveness and attribution Building and deploy machine learning models to predict customer behavior, churn, and lifetime value Leading end-to-end marketing analytics projects that directly impact revenue growth and customer acquisition Designing and implement sophisticated multi-touching attribution models and marketing mix optimization Creating executive-level dashboards and presentations in Tableau that communicate complex insights clearly Partnering with Marketing, Sales, and Product teams to identify growth opportunities through data- driven insights Providing strategic guidance on marketing analytics best practices, experimentation design, and measurement frameworks What we’re looking for Have Bachelor's, Master's or PhD in Statistics, Data Science, Computer Science, Economics, or related quantitative field. Have 7-10 years of experience in marketing analytics. Possess expert-level proficiency in inferential statistics, hypothesis testing, and causal inference methods Have 5+ years of advanced SQL experience with complex query optimization and data modeling & Python programming for data science (pandas, scikit-learn, statsmodels, PyTorch/TensorFlow) Own demonstrated experience building and deploying machine learning models in production environments Have experience with marketing automation platforms (Marketo, HubSpot, Salesforce Marketing Cloud) Possess familiarity with A/B testing platforms, experimentation frameworks and customer data platforms (CDPs) Have knowledge of digital marketing channels (paid search, social, display, email) and their measurement Salary Range or On Target Earnings: Minimum: $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: 03/23/26 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, an ... (truncated, view full listing at source)
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