Data Scientist

Graphite
New York City, New YorkPosted 7 March 2026

Job Description

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 We’re a small-but-mighty team of 70+ based in Manhattan’s Soho, now expanding with a new office in San Francisco. Our passionate and rapidly growing user base includes top engineering teams at companies like Datadog, Vercel, Ramp, and Snowflake. We've raised a $52mil Series B (featured in TechCrunch https://techcrunch.com/2025/03/18/anthropic-backed-ai-powered-code-review-platform-graphite-raises-cash/) led by Christine Esserman https://www.linkedin.com/in/christine-esserman-82834577/, following a previous $20mil Series A from Peter Levine https://a16z.com/author/peter-levine/ at Andreessen Horowitz (who led GitHub's Series A). Other investors include folks like Tom Preston-Werner https://twitter.com/mojombo/status/1521565181813280768 (founder of GitHub), Sam Lambert https://twitter.com/isamlambert (Planetscale CEO & ex-GitHub CTO), Sebastian Markbåge https://twitter.com/sebmarkbage/status/1521515771188457472?s=20&t=BAcr9RFeJ8cg22IN7en-ag (creator of React), and many more https://graphite.dev/about-us. 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; Stay up-to-date with the latest technologies, trends, and best practices in data engineering, data science, and analytics, and recommend new solutions and approaches that can benefit the company. What we’re looking for Bachelor’s or Master’s degree in Computer Science, Data Science, or related field; At least 4 years of experience in data engineering, with a focus on building scalable data pipelines and data models; Strong programming skills in SQL; Experience with cloud platforms such as AWS, GCP, or Azure, and their respective data services (e.g., S3, Redshift, BigQuery); Experience with data visualization tools such as Tableau, Looker, or Power BI; Strong problem-solving and analytical skills, with experience in statistical modeling; Excellent communication skills and ability to work collaboratively ... (truncated, view full listing at source)