Senior Data Scientist

Fingerprint; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

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.

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.

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.

Skills

Machine learning

Data science

Backend development

Supervised learning

Gradient boosting

High-cardinality categorical data

Semi-supervised learning

Unsupervised learning

Exploratory data analysis

Job description

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.

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 c