Machine Learning Scientist

This is a fully remote position, open to applicants in Spain.

📋 Description

• Design, develop, and assess machine learning models aimed at fraud detection, including fraud scoring and ensemble models that integrate various sources of evidence.

• Analyze extensive datasets to uncover intricate patterns, relationships, behaviors, and anomalies, creating new signals to enhance fraud detection.

• Establish robust experimentation and evaluation methodologies, encompassing model calibration, operating thresholds, and performance metrics under realistic production conditions.

• Create interpretable and explainable ML solutions that aid internal stakeholders and customers in comprehending fraud scores and decisions.

• Investigate innovative methods for fraud decisioning, including human-in-the-loop techniques and causal approaches.

• Collaborate with Product and Fraud Domain Experts to transform real-world fraud challenges and production feedback into effective machine learning solutions.

• Work closely with Data Engineering to convert ML prototypes into scalable, maintainable, production-ready systems.

• Contribute to model monitoring, governance, technical documentation, ML tooling, and the dissemination of best practices within the team.

• Develop machine learning solutions that enhance fraud detection and explainability within Mitek's digital identity products.

• Generate measurable business value through improved fraud decisions and scalable production capabilities.

⛳️ Requirements

• A Bachelor's, Master's, or PhD degree in Computer Science, Statistics, Mathematics, Machine Learning, or a related quantitative discipline, or equivalent practical experience.

• Approximately 5 years of experience as a Data Scientist, Applied ML Scientist, or in a similar role.

• Strong understanding of statistical methods, supervised machine learning, and model evaluation, especially for highly imbalanced classification tasks.

• Practical experience in feature engineering and machine learning model development utilizing complex behavioral, relational, or contextual data.

• Proficient programming and analytical abilities with Python, PySpark, and SQL.

• Experience with cloud-based machine learning and data infrastructure.

• Excellent spoken and written English communication skills.

• Comfortable working collaboratively with distributed teams across various offices and time zones.

• Experience in fraud detection, financial crime, payments, digital identity, risk, or Trust & Safety.

• Familiarity with advanced machine learning techniques such as graph-based methods, representation learning, or causal AI.

• Experience with modern data lakehouse or real-time data technologies like Apache Iceberg or Apache Pinot.

• Proven track record of transitioning machine learning solutions from experimentation to scalable production environments.

• Confidence in working within a Linux environment.

🏝️ Benefits

• Wellness: Universal, supplemental, and private healthcare plan options based on country specifics.

• Contributions to retirement/pension plans.

• Participation in the MTK stock plan.

• Coverage for life events & disability.

• Generous annual leave policies.

• Company holidays.

• Volunteer time off opportunities.

• E-learning licenses.

• Tuition reimbursement program.

• Hackathons.

• Home office setup allowance.

• Pet insurance.

• Identity theft protection services.

• Legal assistance.

• Competitive base salary plus 10% annual bonus and equity options.