Fingerprint empowers enterprises to detect and stop online fraud with the world’s most accurate device intelligence. Our customers range from innovative startups to leading enterprise companies, including Plaid, Dropbox, and Booking.com. Fingerprint is a globally dispersed, 100% remote company. We have raised $77M and are backed by Craft Ventures ( Tesla, Facebook, Airbnb ), Nexus Venture Partners ( Postman , Apollo.io, MinIO , Druva) and Uncorrelated Ventures ( Redis, Rollbar, Gradle ). We are seeking a Senior Data Scientist to join our innovative team. In this role, you will focus on improving the accuracy of the Fingerprint Pro Identification Service by applying advanced data science and machine learning techniques in a high-load real-time service setting. As a Senior Data Scientist, you will lead technical strategies, and contribute to fostering an engineering-focused, data-driven culture across the Fingerprint team. You will own data science projects from concept to deployment, ensuring they seamlessly integrate with our real-time identification platform. Develop data-driven algorithms for the Fingerprint Identification Service, applying ML techniques to raw, noisy, and unlabeled data to extract insights about browsers and devices. Own data science projects end to end, from concept and experimentation through deployment into our real-time platform. Design experiments and solutions for ML engineering challenges such as real-time model inference and training pipeline automation. Conduct exploratory data analysis to investigate ad-hoc questions and address anomalous data. Help build an engineering-focused, data-driven culture across the team by sharing tools and effective approaches to data science. 5+ years of experience across machine learning, data science, and backend development. ~ Advanced foundations in machine learning and statistical methodologies. ~ Strong experience with supervised learning, including gradient boosting and handling high-cardinality categorical data.



~ Proficiency in exploratory data analysis, and creative problem-solving for dataset collection and performance estimation in the absence of labeled data. ~ Ability to turn ML models into MVP real-time web services. ~ Excellent coding skills, including SQL and general software engineering tools (Git, CI/CD pipelines, IDEs, shell scripting). ~ Fluent English for clear communication in a general, remote team. Backend development experience with Go. Experience with analytical storage systems such as ClickHouse, Snowflake, or BigQuery. Familiarity with engineering practices for maintaining data transformations, including frameworks like dbt. Hands-on experience with data visualization tools such as Apache Superset, Tableau, or Looker. Hands-on experience with vector databases (e.g., Backend and data science: Go, SQL, and advanced ML frameworks Data processing and analytics: Infrastructure: AWS For US-based employees, the cash compensation range for this role is $152,000 – $205,000. 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, we share salary ranges on all job postings. Offers vary depending on, but not limited to, relevant experience, education, certifications/licenses, skills, training, and market conditions. 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 embrace and celebrate the unique experiences, perspectives and cultural backgrounds that each employee brings to our workplace. 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 embrace and celebrate the unique experiences, perspectives and cultural backgrounds that each employee brings to our workplace.

📌 Data Science Data Science Senior Data Scientist (España)
🏢 Fingerprint
📍 España