Data Scientist at Fingerprint

, , -

Full Time

Start Date

Immediate

Expiry Date

29 May, 26

Salary

155000.0

Posted On

28 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Algorithm Development, Supervised Learning, Exploratory Data Analysis, Python, SQL, Git, Software Engineering, Statistics, Gradient Boosting, Logistic Regression, Real-time Inference, Training Automation, Categorical Data

Industry

Software Development

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 Role requires proficiency with macOS and comfort working fully remotely using tools such as Slack, Google Workspace, and Zoom. 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. 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. Offers vary depending on, but not limited to, relevant experience, education, certifications/licenses, skills, training, and market conditions. Due to regulatory and security reasons, there’s a small number of countries where we cannot have Fingerprint teammates based. Additionally, because Fingerprint is an all-remote company and people can join our workforce from almost any country, we do not sponsor visas. Fingerprint teammates need to be authorized to work from their home location. We are dedicated to creating an inclusive work environment for everyone. We embrace and celebrate the unique experiences, perspectives and cultural backgrounds that each employee brings to our workplace. Fingerprint strives to foster an environment where our employees feel respected, valued and empowered, and our team members are at the forefront in helping us promote and sustain an inclusive workplace. We highly encourage people from underrepresented groups in tech to apply. If you are applying as a resident of California, please read our CCPA notice here If you are applying as a resident of the EU, please read our GDPR notice here

Responsibilities

The role involves developing algorithms to transform raw, noisy, and unlabeled data into insights about browsers and devices, and designing and implementing supervised learning models to enhance detection accuracy. You will also partner with engineering teams to advance technical expertise and conduct exploratory data analysis for anomalies.