Senior Data Scientist

Fingerprint

. Develop data-driven algorithms for the Fingerprint Identification Service using ML techniques on raw, noisy, and unlabeled browser and device data .

Posted 10/2/2026full-timeRemote • United StatesSenior💰 $152,000 - $205,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing data-driven algorithms using machine learning techniques, with a strong focus on real-time model inference and deployment. Proficient in exploratory data analysis and capable of leading data science projects from concept to execution in a collaborative environment.

Highest-signal resume keywords

Machine LearningReal-Time ML Service DevelopmentExploratory Data AnalysisSupervised LearningBackend Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ScienceExploratory Data AnalysisSupervised LearningGradient BoostingSQLShell ScriptingCI/CD PipelinesStatistical MethodologiesModel Integration

Soft Skills

Clear CommunicationCollaboration

Tools & Technologies

GitClickHouseSnowflakeBigQueryDbtApache SupersetTableauLookerPineconeFAISS

Industry Keywords

Data-Driven CultureReal-Time InferenceMVP Real-Time Web ServicesHigh-Cardinality Categorical DataUnlabeled Data

Tech Stack

Tools & technologies

ApacheBigQueryShell ScriptingSQLTableauGo

About the role

Key responsibilities & impact

Develop data-driven algorithms for the Fingerprint Identification Service using ML techniques on raw, noisy, and unlabeled browser and device data
Lead supervised, semi-supervised, and unsupervised learning approaches to improve identification capabilities
Own data science projects end to end, from concept and experimentation through deployment into the real-time platform
Design experiments and solutions for real-time model inference and training pipeline automation
Conduct exploratory data analysis to investigate ad-hoc questions and anomalous data
Share tools and effective approaches to build an engineering-focused, data-driven culture
Participate in a shared on-call rotation

Requirements

What you’ll need

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 dataset collection and performance estimation without 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, Git, CI/CD pipelines, IDEs, and shell scripting
Fluent English for clear communication in a global, remote team
Must be authorized to work from their home location
Nice to have: academic background and research mindset
Nice to have: backend development experience with Go
Nice to have: experience with ClickHouse, Snowflake, BigQuery, dbt, Apache Superset, Tableau, Looker, Pinecone, FAISS, Qdrant, and embedding-based search systems

Benefits

Comp & perks

100% remote work
Shared on-call schedule communicated in advance with equitable coverage and minimized off-hours disruption
Inclusive work environment
Visa sponsorship is not provided