Data Scientist

Graphite builds consumer-quality tools for modern software engineering teams, so they can ship faster and create amazing products.

Our product

Graphite is modern code review for fast-moving teams - we help engineers write and review smaller pull requests, stay unblocked, and ship faster.

Anyone can start using Graphite individually without needing their coworkers to change tools - we seamlessly sync code changes and reviews. We started Graphite because we missed internal code review tools like Phabricator (at Facebook) and Critique (Google) that help engineers create, approve, and ship small, incremental changes, and long-term we’re passionate about creating products & workflows that help fast-moving eng teams achieve more.

Our company

Graphite is defining the future of code review and how high-quality software is built.

We believe great craft emerges through collaboration. That principle drives everything we build and the way we work.

If you’re excited about this next era of software development, there’s no better moment to do the most impactful work of your career.

Our culture centers on putting people first, applying science and craft, practicing disciplined ambition, and giving ownership - both literally (with equity) and in the responsibility and scope you’ll have as a part of our early team. Outside of work you’ll find us brewing espresso drinks, producing music, or practicing yoga. We can’t wait to see what you’ll add to the mix!

About the Role

Graphite is growing rapidly, and we're looking for a data scientist to support product direction and growth.

What you’ll do

Analyze our data (10TB) and help us answer data-driven questions;

Design, develop and deploy data models, algorithms, and tools to support data analysis and visualization;

Build and maintain a scalable data pipeline that collects, processes and stores data from various sources, ensuring data accuracy, reliability, and availability. Currently we're based on DBT + Segment + Redshift;

Collaborate with software engineers, data scientists, and product managers to ensure data-driven decision making across the organization;

Perform exploratory data analysis and statistical modeling to identify insights and trends that drive product and business decisions;

Develop and implement data quality and data governance standards to ensure data accuracy and consistency;

Work with stakeholders to understand their data needs and translate them into technical requirements;