Senior Fraud Risk Data Scientist (ML/AI)

WEX Inc.; Maine; Hybride; USD 140 000 - 165 000; Plein temps

Avantages offerts par ce poste

Health insurance

Dental insurance

Vision insurance

Retirement savings plan

Paid time off

Health savings account

Flexible spending accounts

Life insurance

Disability insurance

Tuition reimbursement

and more

Résumé du poste

WEX Inc. is seeking a data scientist to partner with stakeholders and translate fraud risk requirements into scalable, data-driven solutions. You will develop, validate, and deploy models to monitor fraud across products, leveraging machine learning and statistical methods on large transaction data.

The role emphasizes collaboration, continuous learning, and mentoring junior data scientists while delivering measurable business impact through rigorous analytics and production-ready pipelines.

Qualifications

• 4+ years of professional experience in data science focusing on fraud risk management.
• Master's or Ph.D. in Mathematics, Statistics, Data Science, OR related field.
• Knowledge of fraud risk drivers across various firm sizes and data sources.
• Advanced SQL for large datasets and data extraction.
• Advanced Python or R and common data science libraries.
• Experience deploying models and real-time feature stores.
• Strong communication and presentation skills with business impact.
• Self-starting, collaborative with a continual learning mindset.

Responsabilités

• Partner with stakeholders to translate fraud risk requirements into data-driven solutions.
• Develop, test, and deploy fraud risk models across products and services.
• Extract patterns from large-scale data and maintain automated processes.
• Mentor junior data scientists and share best practices.
• Stay current with ML trends and integrate new tools when beneficial.

Connaissances

Fraud risk

SQL

Python

Data science

Machine learning

Communication

MLOps

Formation

Master's or Ph.D. in quantitative field

Outils

LightGBM

scikit-learn

Pandas

Description du poste

WEX Inc. is seeking a data scientist to partner with stakeholders and translate fraud risk requirements into scalable, data-driven solutions. You will develop, validate, and deploy models to monitor fraud across products, leveraging machine learning and statistical methods on large transaction data.

The role emphasizes collaboration, continuous learning, and mentoring junior data scientists while delivering measurable business impact through rigorous analytics and production-ready pipelines.