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Data Scientist at Fingerprint, Remote (United States)

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.

Types of Projects and Impact:

• Develop data-driven algorithms for Fingerprint Pro Identification Service, applying ML techniques to process raw, noisy, and unlabeled data to extract insights about browsers and devices.
• Lead the design and implementation of supervised, semi-supervised, and unsupervised learning approaches to improve our identification capabilities.
• Conduct exploratory data analysis to investigate ad-hoc questions and address anomalous data.
• Design experiments and solutions for ML-related engineering challenges like real-time model inference and training pipeline automation.
• Help build an engineering-focused, data-driven culture across the team by sharing tools and effective approaches to data science.
• This role includes participation in a shared on-call rotation. The schedule will be communicated in advance, and we strive to balance coverage equitably while minimizing off-hours disruptions.

Required Skills:

• 5+ years in Machine Learning, Data Science, and backend development.
• Machine Learning and Data Science Expertise – advanced foundations in ML and statistical methodologies.
• Strong experience in supervised learning, including gradient boosting and handling high-cardinality categorical data.
• Practical experience with semi-supervised and unsupervised learning techniques.
• Proficiency in exploratory data analysis and creative problem-solving for dataset collection and performance estimation in the absence of labeled data.
• Fluent English for clear communication in a global, remote team.

Software Engineering Skills:

• Strong expertise in real-time ML service development, including challenges like real-time inference and model-to-service integration.
• Excellent coding skills with expertise in SQL and general software engineering tools (Git, CI/CD pipelines, IDEs, shell scripting).
• Ability to create MVP real-time web services from ML models.
• Hands-on with vector databases (e.g., Pinecone, FAISS, Qdrant).
• Experience building and maintaining embedding-based search system.

Nice to Have:

• Academic background and a research mindset.
• Backend development experience with GoLang.
• Experience with analytical storage systems like Clickhouse, Snowflake, or BigQuery.
• Experience building and maintaining embedding-based search systems.
• Familiarity with engineering practices for maintaining data transformations, including frameworks like dbt.
• Hands-on experience with data visualization tools like Apache Superset, Tableau, or Looker.

Technologies You Will Work With:

• Backend and Data Science: GoLang, SQL, and advanced ML frameworks.
• Data Processing/Analytics: ClickHouse, dbt.
• Infrastructure: AWS.

Compensation Range

$150k – 200k For cash compensation, we set standard ranges for all US based roles based on function, level and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location.

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.