Senior Data Scientist, Product Intelligence

Senior Data Scientist, Product Intelligence

This job is no longer open

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.

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 Whiteboard product team. Whiteboard is a powerful virtual hub for real-time and asynchronous collaboration, creating more engaging and efficient meeting experiences. Any team, from enterprise to education, can use the Zoom Whiteboard experience to create, annotate, and share ideas from any device whether you’re in a Zoom meeting or not. 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 collaboration product 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.

#LI-REMOTE

Colorado Salary Range or On Target Earnings:

Minimum:

$97,920.00 USD

Maximum :

$181,170.00 USD

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.  Information about Zoom’s benefits is hereNote: 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 other locations.

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.

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. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at careers@zoom.us.

Zoom requires all U.S. employees who will work in person at a Zoom office, attend in-person Zoom meetings or have in-person customer meetings to be fully vaccinated.  Zoom will consider requests for reasonable accommodations for religious or medical reasons as required under applicable law.

Explore Zoom:

#LI-Remote

This job is no longer open
Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.