Zoomies help the world connect — and deliver happiness while doing it. We set out to build the best video conferencing product for the enterprise, and today help people communicate better with products like Zoom Phone, Zoom Rooms, Zoom Video Webinars, Zoom Apps, and OnZoom.

We’re problem-solvers and self-starters, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to dig deep into 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 - you'll be working cross-functionally with teams of engineers, scientists, marketers, and product professionals on some of the most critical projects in the company - whether it's exploratory research to predict user behavior, or running experiments to optimize untapped areas of growth, or developing machine learning models that deliver “happiness” to our users more consistently and at scale. If you are passionate about data engineering and looking to join a fun and fast-moving team, we’d love to meet you! Our team is taking Zoom's data culture to the next level by integrating predictive models into our infrastructure, and we are looking for someone like you to help us get there! This role is based in Pittsburgh or Phoenix.

Responsibilities

• Own and optimize Zoom’s data architecture to address the data needs of our rapidly-growing business

• Join a group of passionate people committed to delivering “happiness” to our users and to each other

• Partner with data scientists, sales, marketing, operation, and product teams to build and deploy machine learning models that unlock growth

• Build custom integrations between cloud-based systems using APIs

• Write complex and efficient queries to transform raw data sources into easily accessible models by coding across several languages such as Java, Python, and SQL

• Architect, build, and launch new data models that provide intuitive analytics to the team

• Build data expertise and own data quality for the pipelines you create

Requirements

• Ten or more years of relevant software engineering experience (Python, Scala and Java) in a data-focused role

• Passion for creating data infrastructure technologies from scratch using the right tools for the job

• A knack for writing, clean, readable, maintainable code

• Expertise in building out data pipelines, efficient ETL design, implementation, and maintenance

• Experience with AWS tools

• Proven track-record of solving complex data processing and storage challenges through scalable, fault-tolerant architecture