Machine Learning Scientist

3 hours, 39 minutes ago
Full-time
Senior
Data Science and Analytics
Mitek Systems

Mitek Systems

Mitek Systems develops and provides mobile capture and identity verification software solutions that enable enterprises to securely verify user identities and facilitate transactions through mobile devices, enhancing customer experiences while preventi...

Communications Equipment
201-500
Founded 1985

Description

  • Design, develop, and evaluate fraud detection models, including fraud-scoring and ensemble models.
  • Analyze large-scale data to identify patterns, anomalies, and new signals for fraud detection.
  • Define experimentation and evaluation methods, including model calibration, operating thresholds, and production performance metrics.
  • Develop interpretable ML approaches that explain fraud scores and decisions to stakeholders and customers.
  • Explore fraud-decisioning techniques such as human-in-the-loop and causal methods.
  • Collaborate with Product and Fraud Domain Experts to translate fraud challenges and production feedback into ML capabilities.
  • Partner with Data Engineering to productionize scalable, maintainable ML solutions.
  • Contribute to model monitoring, governance, technical documentation, ML tooling, and team best practices.

Requirements

  • Bachelor's, Master's, or PhD in Computer Science, Statistics, Mathematics, Machine Learning, a related quantitative field, or equivalent practical experience.
  • Approximately 5 years of experience as a Data Scientist, Applied ML Scientist, or similar role.
  • Strong knowledge of statistical methods, supervised machine learning, and model evaluation for highly imbalanced classification problems.
  • Hands-on experience with feature engineering and ML model development using behavioral, relational, or contextual data.
  • Strong programming and analytical skills in Python, PySpark, and SQL.
  • Experience with cloud-based machine learning and data infrastructure.
  • Strong spoken and written English and ability to collaborate across distributed teams and time zones.
  • Experience in fraud detection, financial crime, payments, digital identity, risk, or Trust & Safety (preferred).
  • Knowledge of graph-based methods, representation learning, or causal AI (preferred).
  • Experience with Apache Iceberg, Apache Pinot, production ML deployment, or Linux environments (preferred).

Benefits

  • Flexible virtual-first work environment, with remote or office-based options.
  • Healthcare plan choices, including universal, supplemental, and private coverage depending on location.
  • Retirement or pension contributions and MTK stock plan participation.
  • Life event and disability coverage.
  • Generous annual leave, company holidays, and volunteer time off.
  • E-learning access, tuition reimbursement, and hackathons.
  • Home office setup allowance.
  • Optional benefits such as pet insurance, identity theft protection, and legal assistance.

Interested in this position?

Apply directly on the company website

Apply Now

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