Fingerprint

Senior Data Scientist

Undisclosed

Remote. The employer does not say where candidates may be based.

Location not stated

Employer listed it 4 weeks ago · Added 3 weeks ago

Been open since 4 weeks ago, still being checked, but it has been live a while.

Salary

$152,000 to $205,000

Location

Location not stated

Timezone

Not stated

Contract

Full-time

Experience

Senior

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Not mentioned in the advert
Where you can work from: For US-based employees, the cash compensation range for this role is $152,000 – $205,000.
Contract: Not mentioned in the advert
Experience asked for: 5+ years of experience across machine learning, data science, and backend development.
Pay: Compensation & Transparency

Remote flexibility

Undisclosed

The listing is advertised as remote but does not state which countries or regions candidates may work from.

Why this role is Undisclosed

We only label a role Work from anywhere, Region restricted or Work from home when the employer's own wording says so. We checked this advert under our current rules and found no country or region eligibility requirement in it. We don't guess, so it stays Undisclosed until the employer publishes enough location information. Here is exactly what the advert left out.

Countries you can work from: Not stated. The advert only gives "Remote", which names no country you must live in.
Whether the work is remote: Confirmed by the employer: "Fingerprint is a globally dispersed, 100% remote company."
Working hours: Not stated. No timezone overlap or set hours are mentioned, so assume nothing either way.

Worth a look all the same. Missing wording is usually a rushed job posting rather than a closed door, so ask where you can be based in your first message, before you write a tailored application.

What the employer says

Source listing states candidate location: "Remote"

What Nomaders makes of it

No residency or region requirement found in the job description
Check with the employer before assuming you can work from abroad

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

Fingerprint empowers enterprises to detect and stop online fraud with the world’s most accurate device intelligence. We lead our industry with bleeding-edge identification capabilities and work on turning new ideas and discoveries in the fraud detection space into reality. 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 were named on on the 2026 Forbes Best Startup Employers list and ranked #803 on the 2026 Inc. 5000 list of America’s fastest-growing private companies.

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 ).

About the role

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.

Responsibilities:

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.

Lead the design and implementation of supervised, semi-supervised, and unsupervised learning approaches to improve our identification capabilities.

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.

Participate in a shared on-call rotation. Schedules are communicated in advance, and we balance coverage equitably while minimizing off-hours disruption.

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.

Qualifications:

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.

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.

Strong expertise in real-time ML service development, including real-time inference and model-to-service integration.

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).

Requirements

·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.
·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.

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

1Check the flexibility label above, undisclosed, matches where you plan to live and work.
2Tailor your CV to the role at Fingerprint, mentioning your remote working experience.
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 25d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

$152,000 to $205,000 · You'll be taken to the employer's careers page.