{"schemaVersion":"jobsearcher.job.v1","id":"dbd2ee1ef3d4dad61c75ca47","url":"https://jobsearcher.com/jobs/dbd2ee1ef3d4dad61c75ca47","canonicalUrl":"https://jobsearcher.com/jobs/dbd2ee1ef3d4dad61c75ca47","title":"Sr. Data Scientist","description":"The Global Risk Solutions and Strategy group is a fast-growing team optimizing risk solutions and models, and we are a key function to help enable WEX’s strategic objectives. The Risk Solutions Team employs data science methodologies (machine learning and statistical frameworks), a wide suite of data types, and modern technologies to develop solutions to inform decision making. Our team helps the firm identify and measure credit and fraud risk to proactively manage the risk throughout the client’s life-cycle. As such, you will not only be working with the latest data and machine learning technologies and algorithms, you will be working in a dynamic environment alongside our stakeholders and domain experts to build models and drive better decision-making.\nAbout the Team/Role\nPartner with stakeholders to understand credit risk management requirements and translate them into data-driven solutions to measure and monitor credit risk across the firm’s products and services.\nProactively identify and communicate challenges, opportunities, and risks associated with end-to-end model development and deployment life-cycle to ensure timely completion of the entire product.\nLeverage advanced machine learning, artificial intelligence, and statistical methods and technologies to design flexible, scalable, and automated risk modeling solutions.\nDevelop and review code and automated processes to extract credit risk patterns from large scale application and transaction data, behavioral patterns, and other risk indicators.\nKeep abreast with emerging trends in machine learning and identify opportunities to leverage new tools to solve problems and improve processes.\nMentor and support junior data scientists, sharing knowledge and best practices to elevate the data science practice at WEX.\nHow you'll make an impact\nInsights Driven: Clear hypothesis and objective driven analytics that help drive our business decisions and ongoing metrics\nStakeholder Aligned: Understand the needs and audience for deliverables with a succinct and tailored message to maximize impact\nResults Focused: Rigorous focus on how analytics drive the end to end experiences with clear path to production and measurable impact\nDynamic Collaboration: Drive continual improvement of our team best practices and processes to power collaboration\nQuality Mindset: Trust in our findings is critical so data and analytic quality is understood and accounted for from the beginning\nCuriosity and Learning: Learn new technologies and collaborate and teach others how to use them as necessary.\nExperience You’ll Bring:\n4 or more years of professional experience in data science, machine learning, and artificial intelligence, with a focus on credit risk management in underwriting, behavioral surveillance, and loss prevention in the financial services industry.\nMaster’s or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Data Science, Operations Research, Computer Science.\nStrong knowledge of credit risk-drivers in small and medium sized businesses, public firms, and private firms, including data typically used in credit risk management from external credit bureaus and internal risk management processes\nAdvanced knowledge of SQL and experience creating and managing large datasets to organize and extract useful information\nAdvanced knowledge of Python or R and experience with common data science libraries such as lightgbm, scikit-learn, pandas, etc..\nDeep understanding of model deployment requirements for scalable solutions and real-time feature stores\nDeep expertise in statistical and machine learning techniques, including modeling, testing and inference, sampling methods, supervised and unsupervised learning.\nStrong communication and presentation skills with an ability to relate complex analytics findings to business outcomes\nAdaptable and comfortable working collaboratively and independently in a self-starting manner\nEvidence of creative problem solving, critical thinking and a continual learning mindset in credit risk management.\nHow you will stand out:\nPrior experience mentoring experience of data scientists\nPrior roles responsible for building underwriting and behavioral models.\nKnowledge of external intelligence sources, including third-party data providers e.g. LexisNexis, Socure, Dun and Bradstreet\nExperience using cloud environments to develop advanced models, such as AWS Sagemaker\nExperience with end–to-end machine learning systems and MLOps framework\nKey Words\nData Science, Machine Learning, Statistical Learning, Artificial Intelligence, Credit Risk, Collections, Transaction Monitoring, MLOps, Behavioral Analytics\nThe base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the \"About Us\" section.\nPay Range: $140,000.00 - $165,400.00","company":"Wexinc","rawCompany":"wexinc","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-07-15T14:31:21.976Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"13-2041.00","title":"Credit Analysts","slug":"credit-analysts"},{"code":"13-2054.00","title":"Financial Risk Specialists","slug":"financial-risk-specialists"}],"industries":[{"code":"522291","title":"Consumer Lending","slug":"consumer-lending"},{"code":"522299","title":"International, Secondary Market, and All Other Nondepository Credit Intermediation","slug":"international-secondary-market-and-all-other-nondepository-credit-intermediation"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Data Scientist","description":"The Global Risk Solutions and Strategy group is a fast-growing team optimizing risk solutions and models, and we are a key function to help enable WEX’s strategic objectives. The Risk Solutions Team employs data science methodologies (machine learning and statistical frameworks), a wide suite of data types, and modern technologies to develop solutions to inform decision making. Our team helps the firm identify and measure credit and fraud risk to proactively manage the risk throughout the client’s life-cycle. As such, you will not only be working with the latest data and machine learning technologies and algorithms, you will be working in a dynamic environment alongside our stakeholders and domain experts to build models and drive better decision-making.\nAbout the Team/Role\nPartner with stakeholders to understand credit risk management requirements and translate them into data-driven solutions to measure and monitor credit risk across the firm’s products and services.\nProactively identify and communicate challenges, opportunities, and risks associated with end-to-end model development and deployment life-cycle to ensure timely completion of the entire product.\nLeverage advanced machine learning, artificial intelligence, and statistical methods and technologies to design flexible, scalable, and automated risk modeling solutions.\nDevelop and review code and automated processes to extract credit risk patterns from large scale application and transaction data, behavioral patterns, and other risk indicators.\nKeep abreast with emerging trends in machine learning and identify opportunities to leverage new tools to solve problems and improve processes.\nMentor and support junior data scientists, sharing knowledge and best practices to elevate the data science practice at WEX.\nHow you'll make an impact\nInsights Driven: Clear hypothesis and objective driven analytics that help drive our business decisions and ongoing metrics\nStakeholder Aligned: Understand the needs and audience for deliverables with a succinct and tailored message to maximize impact\nResults Focused: Rigorous focus on how analytics drive the end to end experiences with clear path to production and measurable impact\nDynamic Collaboration: Drive continual improvement of our team best practices and processes to power collaboration\nQuality Mindset: Trust in our findings is critical so data and analytic quality is understood and accounted for from the beginning\nCuriosity and Learning: Learn new technologies and collaborate and teach others how to use them as necessary.\nExperience You’ll Bring:\n4 or more years of professional experience in data science, machine learning, and artificial intelligence, with a focus on credit risk management in underwriting, behavioral surveillance, and loss prevention in the financial services industry.\nMaster’s or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Data Science, Operations Research, Computer Science.\nStrong knowledge of credit risk-drivers in small and medium sized businesses, public firms, and private firms, including data typically used in credit risk management from external credit bureaus and internal risk management processes\nAdvanced knowledge of SQL and experience creating and managing large datasets to organize and extract useful information\nAdvanced knowledge of Python or R and experience with common data science libraries such as lightgbm, scikit-learn, pandas, etc..\nDeep understanding of model deployment requirements for scalable solutions and real-time feature stores\nDeep expertise in statistical and machine learning techniques, including modeling, testing and inference, sampling methods, supervised and unsupervised learning.\nStrong communication and presentation skills with an ability to relate complex analytics findings to business outcomes\nAdaptable and comfortable working collaboratively and independently in a self-starting manner\nEvidence of creative problem solving, critical thinking and a continual learning mindset in credit risk management.\nHow you will stand out:\nPrior experience mentoring experience of data scientists\nPrior roles responsible for building underwriting and behavioral models.\nKnowledge of external intelligence sources, including third-party data providers e.g. LexisNexis, Socure, Dun and Bradstreet\nExperience using cloud environments to develop advanced models, such as AWS Sagemaker\nExperience with end–to-end machine learning systems and MLOps framework\nKey Words\nData Science, Machine Learning, Statistical Learning, Artificial Intelligence, Credit Risk, Collections, Transaction Monitoring, MLOps, Behavioral Analytics\nThe base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the \"About Us\" section.\nPay Range: $140,000.00 - $165,400.00","datePosted":"2026-07-15T14:31:21.976Z","dateModified":"2026-07-15T14:31:21.976Z","hiringOrganization":{"@type":"Organization","name":"Wexinc","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"dbd2ee1ef3d4dad61c75ca47"},"url":"https://jobsearcher.com/jobs/dbd2ee1ef3d4dad61c75ca47"}}