Senior ML Scientist - Fraud Detection (Remote, Equity)

Mitek Systems; España; Remote; EUR 50,000 - 70,000; Full time

Benefits offered by this job

Base + 10% Annual Bonus + Equity

Wellness: healthcare plan options

Generous paid time off

Job summary

Mitek Systems is hiring a hands‑on Senior Data Scientist to build ML solutions that boost fraud detection and explainability across its digital identity products. You will explore patterns in large data, create reliable models, and collaborate with Product, Fraud Domain Experts, and Data Engineering to scale prototypes into production.

The ideal candidate has a strong ML foundation, ~5 years of experience, and proficiency in Python, PySpark, and SQL, with cloud ML experience.

Qualifications

• Bachelor's, Master's, or PhD in Computer Science, Statistics, Mathematics, Machine Learning, or a related quantitative field, or equivalent practical experience.
• Skills and expertise typically gained through approximately 5 years of experience as a Data Scientist, Applied ML Scientist, or in a comparable role.
• Strong knowledge of statistical methods, supervised machine learning, and model evaluation, particularly for highly imbalanced classification problems.
• Hands‑on experience in feature engineering and machine learning model development using complex behavioral, relational, or contextual data.
• Strong programming and analytical skills using Python, PySpark, and SQL.
• Experience working with cloud‑based machine learning and data infrastructure.

Responsibilities

• Design, develop, and evaluate machine learning models for fraud detection, including fraud scoring and ensemble models that combine multiple sources of evidence.
• Analyze large-scale datasets to identify complex patterns, relationships, behaviors, and anomalies, developing new signals to improve fraud detection.
• Define robust experimentation and evaluation methodologies, including model calibration, operating thresholds, and performance metrics under realistic production conditions.
• Develop interpretable and explainable ML approaches that help internal stakeholders and customers understand fraud scores and decisions.
• Explore innovative approaches to fraud decisioning, including human‑in‑the‑loop techniques and causal methods.
• Collaborate with Product and Fraud Domain Experts to translate real‑world fraud challenges and production feedback into effective machine learning capabilities.
• Partner with Data Engineering to transform ML prototypes into scalable, maintainable, production‑ready solutions.
• Contribute to model monitoring, governance, technical documentation, ML tooling, and shared best practices across the team.

Skills

Machine learning fundamentals

Data analysis

Python

PySpark

SQL

Cloud ML

Education

Bachelor's/Master's/PhD in CS/Statistics/ML

Tools

Cloud platforms

Model evaluation frameworks

Job description

Mitek Systems is hiring a hands‑on Senior Data Scientist to build ML solutions that boost fraud detection and explainability across its digital identity products. You will explore patterns in large data, create reliable models, and collaborate with Product, Fraud Domain Experts, and Data Engineering to scale prototypes into production.

The ideal candidate has a strong ML foundation, ~5 years of experience, and proficiency in Python, PySpark, and SQL, with cloud ML experience.