Fingerprint
Overview
Fingerprint
empowers developers to stop online fraud at the source. We work on turning radical new ideas in the fraud detection space into reality. Our products are developer-focused and our clients range from solo developers to publicly traded companies. We are a globally dispersed, 100% remote company with a strong open-source focus. Our flagship open-source project is FingerprintJS (20K stars on GitHub). Fingerprint is looking for a
Data Scientist
to help improve the accuracy of our Smart Signals by applying data science and machine learning techniques in a high-load, real-time service environment. You\'ll collaborate with engineers and data scientists on challenging ML problems and work across the project lifecycle from prototyping to deployment. What You'll Work On
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 What We're Looking For
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 Nice to Have
Familiarity with semi-supervised or unsupervised learning techniques Hands-on experience with visualization tools (Apache Superset, Tableau, Looker) Knowledge of analytical storage systems (ClickHouse, Snowflake, BigQuery) Experience maintaining data transformations with dbt Ability to build lightweight real-time services from ML models Academic or research background Tech Stack
Backend & Data Science: Python, Go, SQL, ML frameworks Analytics & Processing: ClickHouse, dbt Infrastructure: AWS Employment details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development Fingerprint is an all-remote company. We do not sponsor visas. Teammates need to be authorized to work from their home location. We are committed to an inclusive environment and encourage people from underrepresented groups in tech to apply. For residents of California or the EU, please read our CCPA and GDPR notices.
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Fingerprint
empowers developers to stop online fraud at the source. We work on turning radical new ideas in the fraud detection space into reality. Our products are developer-focused and our clients range from solo developers to publicly traded companies. We are a globally dispersed, 100% remote company with a strong open-source focus. Our flagship open-source project is FingerprintJS (20K stars on GitHub). Fingerprint is looking for a
Data Scientist
to help improve the accuracy of our Smart Signals by applying data science and machine learning techniques in a high-load, real-time service environment. You\'ll collaborate with engineers and data scientists on challenging ML problems and work across the project lifecycle from prototyping to deployment. What You'll Work On
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 What We're Looking For
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 Nice to Have
Familiarity with semi-supervised or unsupervised learning techniques Hands-on experience with visualization tools (Apache Superset, Tableau, Looker) Knowledge of analytical storage systems (ClickHouse, Snowflake, BigQuery) Experience maintaining data transformations with dbt Ability to build lightweight real-time services from ML models Academic or research background Tech Stack
Backend & Data Science: Python, Go, SQL, ML frameworks Analytics & Processing: ClickHouse, dbt Infrastructure: AWS Employment details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development Fingerprint is an all-remote company. We do not sponsor visas. Teammates need to be authorized to work from their home location. We are committed to an inclusive environment and encourage people from underrepresented groups in tech to apply. For residents of California or the EU, please read our CCPA and GDPR notices.
#J-18808-Ljbffr