Machine Learning Scientist (Fully Remote)

Mitek; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Bonus

Comprehensive benefits

Virtual-first culture

Job summary

Mitek, a global leader in digital identity authentication and fraud prevention, seeks a data scientist to design and deploy ML models for fraud detection. The role focuses on scalable analysis of large datasets, building ensemble methods, and delivering explainable solutions.

This virtual-first, remote-friendly position offers competitive salary, bonus, equity, and comprehensive benefits, with a culture of innovation and collaboration across global teams.

Qualifications

• 5+ years data science experience.
• Strong statistical methods for imbalanced classification.
• Hands-on Python, PySpark, SQL.
• Experience with cloud-based ML infrastructure.

Responsibilities

• Design and develop ML models for fraud detection, including ensemble methods.
• Analyze large-scale datasets to identify patterns and new signals.
• Build explainable and interpretable ML solutions.

Skills

Python

PySpark

SQL

Cloud ML Infra

Statistics

Tools

AWS

GCP

Azure

Job description

• Design and develop ML models for fraud detection, including ensemble methods.
• Analyze large-scale datasets to identify patterns and new signals.
• Build explainable and interpretable ML solutions.

Requirements:

• Strong statistical methods and supervised ML for imbalanced classification.
• Hands-on Python, PySpark, SQL, and cloud-based ML infrastructure.
• Approximately 5 years of data science experience.
• Virtual-first culture with flexible remote work.
• Competitive salary, bonus, equity, and comprehensive benefits.
• Focus on innovation, collaboration, and meaningful work.

Mitek is a global leader in digital and biometric identity authentication, fraud prevention, and mobile deposit solutions, trusted by over 7,500 organizations worldwide. Headquartered in San Diego with operations globally, the company fosters a Virtual 1st culture with flexibility, collaboration, and a mission to 'Protect What's Real.'