Develop algorithms that transform raw, noisy, and unlabeled data into insights about browsers and devices
Design and implement supervised learning models to improve detection accuracy
Partner with ML Engineers, Data Scientists, and Software Engineers to push forward our technical expertise
Conduct exploratory data analysis to investigate anomalies and ad-hoc questions
Run experiments to solve ML engineering challenges like real-time inference and training automation

BS or MS in Computer Science, Data Science, or related field, or equivalent experience
3-6 years of experience in Data Science or Machine Learning
Strong foundations in ML and statistics
Experience with supervised learning methods (gradient boosting, logistic regression, etc.) and working with categorical data
Skilled in exploratory data analysis and deriving insights from complex datasets
Proficiency in Python and SQL; experience with Git and software engineering basics
Comfortable communicating in English in a global, remote team
Role requires proficiency with macOS and comfort working fully remotely using tools such as Slack, Google Workspace, and Zoom.

Data Scientist

Key skills