Role Description
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
- Psychometrics
- Recommender systems
- Time series analysis
- Survival analysis
- Bayesian inference
- Probabilistic programming
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.
About Triplebyte
Triplebyte is a hiring marketplace used by companies like Apple, Dropbox, Stripe, and Instacart to hire the best technical talent. We are on a mission to build a meritocratic hiring process, and we do all our evaluation background blind. Our ultimate goal is to collect the largest dataset and use this to build the world's best technical hiring process. No other company has successfully done what we're doing in this field.
We are growing extremely quickly, working on a problem that is fundamental, sitting at the crossroads between the workforce and employers. Ten years from now, it'll look silly to use anything other than Triplebyte for technical hiring.
Company Culture
We have a laid-back, friendly office culture. Over lunch you'll often find us discussing the latest in technology, books, and pop culture, and then maybe getting in a quick game of chess or babyfoot (foosball).
Since we're an early-stage company, we move fast, and it's important that each member of our team is able to take ownership of projects by defining problems, brainstorming solutions, and running experiments.
Address
301 Howard St Ste 700
San Francisco, CA, 94105-6604, US
Tech Stack
- Ruby on Rails
- Redis
- PostgreSQL
- React
- Python
- Tensorflow