Data Scientist

Key Skills

Java Programming, Python Programming, SQL, A/B Testing, Tableau, R Programming, Google Analytics, Spotfire, Optimizely, DOMO

Job Description

In most cases, you will have the opportunity to choose your preferred working location from the following options when you join Zoom: in-person, hybrid or remote. Visit this page for more information about Zoom's Workstyles.

About Us

Zoomies help people stay connected so they can get more done together. We set out to build the best video product 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 Webinar.

We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.

The Data Science team lies at the foundation of Zoom’s success. We are looking for a rock-star to join our team to help us solve for a wide range of analytics challenges in the areas of campaign marketing and eCommerce.

We are looking for highly motivated individuals who would be excited to partner with our stakeholders to develop data products & solutions that will impact hundreds of millions of our users across the world. Expert communication, problem-solving, and having an innovative spirit will be the keys to success in this role.

You'll be working cross-functionally with teams of Product Engineers, Product Managers, Data Engineers, Sales and Marketing Managers on some of the most critical projects in the company.

RESPONSIBILITIES:

• Research customer cohorts and design A/B experiments for web optimizations & marketing campaigns by splitting users groups into test and control and sampling users in the best way to drive open/click rates and conversions
• Develop compelling insights for leadership and recommend next best actions on new growth initiatives
• Become a thought leader and design scalable data & A/B testing ecosystems to ensure the business capitalizes on every growth opportunity
• Manage data engineering projects to ensure accuracy and timely delivery
• Build and maintain statistical models that deliver value to our partner teams
• Lead and conduct deep-dive research and analyses to identify opportunities

REQUIREMENTS

• Minimum 4+ years of experience using data to facilitate decisions OR
• Minimum 3+ years of experience in A/B testing using popular measurement tools (Optimizely, VWO, Google Experiments, Adobe Target, etc.)
• Minimum 4+ years of experience in SQL
• Experience managing projects end-to-end in an agile framework in a cross-functional capacity
• Experience with statistical analysis using Python or R
• Bachelor's degree or (Masters or PhD in Computer Science, Data Science or other quantitative field) and 4 years of experience using data to facilitate decisions

PREFERRED

• 2+ years of experience using Google Analytics
• 2+ years of experience using Tableau/Domo/Spotfire

• Experience in Salesforce Marketing Cloud and Pardot are a plus