Lead Data Scientist - Remote

Overview

Fingerprint empowers developers to stop online fraud at the source. We work on turning radical new ideas in the fraud detection space into reality. Our products are developer-focused and our clients range from solo developers to publicly traded companies. We are a globally dispersed, 100% remote company with a strong open-source focus.

In Short

• Seeking a Lead Data Scientist to improve the accuracy of the Fingerprint Pro Identification Service.
• Focus on applying advanced data science and machine learning techniques.
• Lead technical strategies and mentor engineers in machine learning.
• Own data science projects from concept to deployment.
• Develop data-driven algorithms for identification services.
• Conduct exploratory data analysis and design experiments.
• Enhance the team’s technical expertise in machine learning.
• Work with real-time ML service development and integration.
• Collaborate in a global, remote team environment.
• Contribute to a data-driven culture across the organization.

Requirements

• 7+ years in Machine Learning, Data Science, and backend development.
• Advanced foundations in ML and statistical methodologies.
• Strong experience in supervised learning techniques.
• Proficiency in exploratory data analysis.
• Strong expertise in real-time ML service development.
• Excellent coding skills with SQL and software engineering tools.
• Ability to create MVP real-time web services from ML models.
• Fluent English for clear communication.

Benefits

• Inclusive work environment that values diverse perspectives.
• Opportunity to work on innovative projects in fraud detection.
• Remote work flexibility.
• Mentorship opportunities in machine learning and data science.
• Access to advanced technologies and frameworks.