Sr. Data Scientist

WEX Inc.

Job Overview

Location

US - Remote

Job Type

Full-time

Full Job Description

📋 Description

• Partner with stakeholders to translate credit risk management requirements into data-driven solutions for measuring and monitoring credit risk across WEX’s financial products and services.
• Design, develop, and deploy scalable, automated risk modeling solutions using advanced machine learning, artificial intelligence, and statistical methods tailored to credit risk applications.
• Extract and analyze credit risk patterns from large-scale transaction data, behavioral signals, and external risk indicators using SQL and programming languages such as Python or R.
• Manage the end-to-end model development and deployment lifecycle, proactively identifying challenges, risks, and opportunities to ensure timely and effective delivery of risk solutions.
• Apply supervised and unsupervised learning techniques, sampling methods, and statistical inference to build, test, and validate models for underwriting, behavioral surveillance, and loss prevention.
• Leverage modern data science libraries including scikit-learn, lightgbm, and pandas to develop robust analytical pipelines and automated processes for credit risk assessment.
• Ensure model quality and analytical integrity by embedding rigorous data quality controls from the outset, with focus on reproducibility, traceability, and trustworthiness of findings.
• Communicate complex analytical results to business stakeholders in a clear, succinct, and impactful manner, aligning insights with strategic business outcomes and decision-making.
• Stay current with emerging trends in machine learning and data science, evaluating new tools and techniques to improve modeling accuracy, efficiency, and scalability in credit risk domains.
• Mentor junior data scientists by sharing best practices, reviewing code, and fostering a culture of continuous learning and high standards in data science practice.
• Collaborate cross-functionally with domain experts to integrate external intelligence sources such as LexisNexis, Socure, and Dun & Bradstreet into risk modeling workflows.
• Utilize cloud-based platforms like AWS SageMaker to develop, train, and operationalize machine learning models in production environments.
• Implement and support MLOps frameworks to enable automated model retraining, monitoring, and feature store management for real-time risk scoring systems.
• Drive continuous improvement of team processes and analytical standards through dynamic collaboration and a results-focused mindset focused on measurable business impact.
• Maintain deep expertise in credit risk drivers for small and medium-sized businesses, public firms, and private firms, including the use of credit bureau data and internal risk management systems.
• Demonstrate a curiosity and learning mindset by actively acquiring new technical skills and teaching others to enhance the overall data science capability at WEX.

🎯 Requirements

• 4 or more years of professional experience in data science, machine learning, and artificial intelligence with a focus on credit risk management in financial services
• Master’s or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Data Science, Operations Research, or Computer Science
• Advanced knowledge of SQL and experience managing large datasets for credit risk analysis
• Advanced proficiency in Python or R with hands-on experience using scikit-learn, lightgbm, pandas, and similar libraries
• Deep understanding of model deployment requirements, including real-time feature stores and scalable production environments
• Strong communication and presentation skills to translate complex analytics into actionable business insights

🏖️ Benefits

• Health, dental, and vision insurance
• Retirement savings plan
• Paid time off
• Health savings account
• Flexible spending accounts
• Life insurance and disability insurance
• Tuition reimbursement
• Quarterly or annual bonus eligibility
• Base pay range of $140,000.00 - $165,400.00

Skills & Technologies

Python

AWS

Pandas

Scikit-learn

Data Science

Senior

Remote

Degree Required

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WEX Inc.

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About WEX Inc.

WEX Inc. is a global commerce platform headquartered in Portland, Maine, providing payment processing and business solutions across fleet, travel, and healthcare sectors. Founded in 1983, the company offers fuel cards, corporate payments, virtual cards, and benefits administration technology that simplifies complex transactions, enhances security, and delivers data-driven insights for businesses of all sizes. WEX serves customers in North America, South America, Asia-Pacific, and Europe, enabling efficient fleet operations, streamlined travel booking, and improved healthcare benefit management through innovative payment systems and software.

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