Senior Data Scientist — Real-Time Fraud ML Lead

Fingerprint; United States; A distancia; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

Fingerprint is seeking a Senior Data Scientist to enhance the Fingerprint Pro Identification Service using advanced data science and ML in a real-time, high-load setting. You will own data science projects from concept to deployment, driving a data-driven culture across the engineering team.

You will lead end-to-end ML initiatives, design experiments for real-time inference and training pipelines, and collaborate with cross-functional teams to improve identification capabilities.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Machine learning

Data science

Backend development

Supervised learning

Gradient boosting

High-cardinality categorical data

Semi-supervised learning

Unsupervised learning

Exploratory data analysis

Descripción del empleo

Fingerprint is seeking a Senior Data Scientist to enhance the Fingerprint Pro Identification Service using advanced data science and ML in a real-time, high-load setting. You will own data science projects from concept to deployment, driving a data-driven culture across the engineering team.

You will lead end-to-end ML initiatives, design experiments for real-time inference and training pipelines, and collaborate with cross-functional teams to improve identification capabilities.