Job Description
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).
We have raised $77M and are backed by Craft Ventures (previously invested in Tesla, Facebook, Airbnb ), Nexus Venture Partners (previously invested in Postman, Apollo.io, MinIO, Druva) and Uncorrelated Ventures (previously invested in Redis, Rollbar & Gradle).
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Fingerprint recruiting email communications will always come from the @fingerprint.com domain. Any outreach claiming to be from Fingerprint via other sources should be ignored.
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
- 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
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
For US-based employees, the cash compensation range for this role is $145,000-$155,000. We set standard ranges for all US roles based on function, level, and geographic location, benchmarked against similar stage growth companies. To comply with local legislation and provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. However, these ranges are specific to the hiring location and may differ within or outside the US. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.
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