Data Scientist

Triplebyte is transforming the way software engineers are hired. Our mission is to build an open, valuable and skills-based credential for all engineers. This is important because millions of people have skills (and deserve good jobs), but don’t fit the profile that recruiters seek. Another way of saying this is that talent is uniformly distributed, but opportunity is not. Our goal is to broaden the distribution of opportunity.

To do this, we have built a background-blind technical assessment and interview process, and we use it to find engineers and help them get jobs at 450+ top companies. Our rich understanding of candidates’ skills and propriety machine learning models enable us to find the right match between our candidates and partner companies. This is why companies like Apple, Dropbox and American Express trust Triplebyte’s technical assessment to identify the best engineers for their open roles and reduce the time and effort it takes to hire them.

We just raised a $35 million Series B and our team of 65 is growing quickly! Now is a great time to join as we're on an exciting growth trajectory. You will have lots of opportunities for taking on responsibility and developing new skills quickly.

You can read more about our company and hear from our founders in the press here:

You can also read some case studies with a few of our partner companies like Box, Instacart, Mixpanel and Gusto and also learn more about us on our press page.

We're an experienced team, the founders have each built and sold companies before. Ammon and Guillaume founded Socialcam (acquired by Autodesk for $60 million) and Harj was the first partner hired at Y Combinator since its founding.

We are rapidly growing our engineering team, we are looking for generalist, full-stack, frontend, backend, machine learning, data science and dev-ops engineers!

As a data scientist at Triplebyte, you’ll have the opportunity to work on a variety of challenges to help us scale. You'll be part of a small team, who are leveraging data to fix technical hiring. Your day to day, will include a mix of dataset acquisition, statistical modeling, exploratory data analysis, and software engineering. You’ll report directly to Triplebytes' Head of Machine Learning and will work alongside a team of 6-8 machine learning engineers and data scientists.

Fields your work will touch on

This is an ideal role for a data scientist who wants the scope and responsibility to own features/products from the inception and research phase through to measuring real-world results.

Competitive salary and stock options package

Open vacation policy

Employer paid health, vision and dental insurance

401(k) plan with matching

Pre-tax commuter benefits

Daily catered lunches

We believe strongly in building a truly meritocratic, unbiased process for finding great talent. Even the best technology companies today still use where people went to college as a proxy for intelligence and ability. We're building a process that looks only at ability, not credentials, so we can have a future where everyone can focus on just learning and being good at what they do, not how they look on paper.

Every aspect of running a company has been improved over the last decade, except hiring. Most decisions are still made using amorphous terms like "gut feel" or "culture fit". They should be made using crisp data. Only a company specializing on this problem, using data collected from the hiring process at hundreds of companies, can solve it. That's the company we're building. Our mission is creating a scientific method for identifying great talent and intelligently routing it to the best place. Starting with software engineers.