Senior Data Scientist, Product Intelligence

Key Skills

Algorithms, C Programming, C++, Data Analytics, Java Programming, Personalization, Python Programming, Text segmentation

Job Description

Work Styles at Zoom

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.

Senior Data Scientist, Product Intelligence

FULL TIME, US-REMOTE

The Data Team at Zoom brings data closer to the decision. We know that to deliver customer happiness we need to build best in class products. We support this by empowering Product with behavioral insights to help them build better products. While providing these insights, we also need to ensure that we’re meeting the consent, privacy, and regulatory needs of hundreds of millions of users worldwide.

This role will be part of the Product Intelligence team and will be working closely with the Carrier Platform product team. The Carrier Platform for Zoom provides a foundation of global, reliable, compliant PSTN interconnection services at scale. This role will work closely with Product, Engineering and the Data Engineering team to help ensure the success of the product. The ideal candidate will have experience partnering with Product to define success metrics and define data requirements to ensure we are set up for success when the product or feature launches. The ideal candidate will have experience measuring product impact using causal inference and A/B testing. The individual will play a key role in providing insights around product usage beyond just the “What?” but to answer the “Why?” behind user behavior. Our team values diversity, collaboration, creativity and most importantly - having fun! Come join us! 

Responsibilities

• Size potential impact of new products or features to impact the Product roadmap.
• Partner with Product to define success metrics that quantify the performance of the product and its impact on the business.
• Analyze usage and behavioral data and build data models that enable insights and power dashboards.
• Apply statistical methods, such as causal inference or A/B testing, to quantify the business impact of new features.
• Partner with cross-functional teams to scope, prioritize, lead and drive data science initiatives to completion.
• Identify new opportunities and influence strategic decision-making across the organization.
• Partner closely with Product and Engineering to drive product direction and decision-making.
• Mentor and coach junior team members.

Qualifications

• Degree in a quantitative field such as analytics, statistics, economics, computer science, or applied math
• Minimum of 6+ years (4+ with advanced degree) experience working in an analytical role
• Strong communication skills, both written and verbal; able to translate ambiguous, unstructured business problems into actionable analyses
• Advanced SQL ability
• Proficient with Python and statistical libraries such as scikit-learn, pandas, etc
• Strategic thinker who can tie the micro and macro view together
• Experience influencing product strategy through statistical analyses and data story-telling
• Previous experience working with a carrier or telecom platform is a bonus

Ensuring a diverse and inclusive workplace where we learn from each other is core to Zoom’s values. We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records as well as any qualified applicants requiring reasonable accommodations in accordance with the law.

We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.

We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.