Fingerprint
Cybersecurity • API • SaaS
Fingerprint is a technology company focused on bot detection and identification solutions. The platform helps businesses ensure a secure online environment by accurately identifying users and distinguishing between real users and automated bots. They provide developer guides and workspace settings for easy integration into various applications, enhancing security and user experience.
Data Scientist
Job not on LinkedIn
September 28
Fingerprint
Cybersecurity • API • SaaS
Fingerprint is a technology company focused on bot detection and identification solutions. The platform helps businesses ensure a secure online environment by accurately identifying users and distinguishing between real users and automated bots. They provide developer guides and workspace settings for easy integration into various applications, enhancing security and user experience.
📋 Description
• Improve the accuracy of Smart Signals by applying data science and machine learning techniques in a high-load, real-time service environment • 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 across the project lifecycle from prototyping to deployment • 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
🎯 Requirements
• BS or MS in Computer Science, Data Science, or related field, or equivalent experience • 2–4 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 • Authorized to work from their home location; Fingerprint does not sponsor visas • Nice to have: Familiarity with semi-supervised or unsupervised learning techniques • Nice to have: Hands-on experience with visualization tools (Apache Superset, Tableau, Looker) • Nice to have: Knowledge of analytical storage systems (ClickHouse, Snowflake, BigQuery) • Nice to have: Experience maintaining data transformations with dbt • Nice to have: Ability to build lightweight real-time services from ML models • Nice to have: Academic or research background
🏖️ Benefits
• 100% remote work • Strong open-source focus (FingerprintJS flagship project) • Inclusive work environment; encouragement for underrepresented groups to apply • Offers vary depending on relevant experience, education, certifications/licenses, skills, training, and market conditions
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