Job Closed

This listing is no longer active.

WEXWEXUS

WEX simplifies the business of running a business through smarter workflows and financial intelligence. Our North America Mobility and OTR businesses power the fleets that keep commerce moving — from small owner-operators to large fleet enterprises. Pay Range $198,000.00 - $223,700.00

Fraud Senior Data Scientist

Location

United States

Posted

29 days ago

Salary

$140K - $165.4K / year

Seniority

Senior

Job Description

Fraud Senior Data Scientist

WEXWEXUS

Role 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. - Partner 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. - Proactively 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. - Leverage advanced machine learning, artificial intelligence, and statistical methods and technologies to design flexible, scalable, and automated risk modeling solutions. - Develop and review code and automated processes to extract credit risk patterns from large scale application and transaction data, behavioral patterns, and other risk indicators. - Keep abreast with emerging trends in machine learning and identify opportunities to leverage new tools to solve problems and improve processes. - Mentor and support junior data scientists, sharing knowledge and best practices to elevate the data science practice at WEX. Qualifications - 4 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. - Master’s or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Data Science, Operations Research, Computer Science. - Strong 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. - Advanced knowledge of SQL and experience creating and managing large datasets to organize and extract useful information. - Advanced knowledge of Python or R and experience with common data science libraries such as lightgbm, scikit-learn, pandas, etc. - Deep understanding of model deployment requirements for scalable solutions and real-time feature stores. - Deep expertise in statistical and machine learning techniques, including modeling, testing and inference, sampling methods, supervised and unsupervised learning. - Strong communication and presentation skills with an ability to relate complex analytics findings to business outcomes. - Adaptable and comfortable working collaboratively and independently in a self-starting manner. - Evidence of creative problem solving, critical thinking and a continual learning mindset in credit risk management. Requirements - Prior experience mentoring data scientists. - Prior roles responsible for building underwriting and behavioral models. - Knowledge of external intelligence sources, including third-party data providers e.g. LexisNexis, Socure, Dun and Bradstreet. - Experience using cloud environments to develop advanced models, such as AWS Sagemaker. - Experience with end–to-end machine learning systems and MLOps framework. Benefits - 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. Pay Range $140,000.00 - $165,400.00

Related Categories

Related Job Pages

More Data Scientist Jobs

BAE Systems, Inc. logo

Configuration Data Manager

BAE Systems, Inc.

Improving the future and protecting lives is an ambitious mission, but it’s what we do. As a leading aerospace, defense, and security company, we work together to deliver a full range of products and services for air, land, space, and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. How we work is rooted in purpose – a purpose to protect those who protect us, to unite our community of colleagues and customers, and to drive forward the growth and development of our exceptional team members. It's where purpose connects.

Data Scientist29 days ago
Full TimeRemoteTeam 10,001+Since 1999H1B No Sponsor

Job Description Be a part of a company that is community focused, driven to improve our future and protect our freedom. BAE Systems is one of the world's largest leading multinational defense security and aerospace companies, with products and services covering air, land, and naval forces, as well as advanced electronics, security, information technology, and support services. Our vision is to be the premier international defense, aerospace, and security company. Our mission is to provide a vital advantage to help our customers protect what really matters: "We Protect Those Who Protect Us®". Because this role involves a combination of independent and collaborative work, this position can be conducted 100% Remotely. To be considered for this opportunity, the selected individual must be local to the Cedar Rapids area due to the occasional need for classified work to be performed. Relocation assistance is not available for this opportunity. This position is a non-technical role. Data Managers assist and support the Project team in planning, preparing, organizing, controlling, and submitting contractually required data, as well as manage the release and control of a wide variety of program related documentation. The work is guided by Data Management policies and procedures. This fast-paced role is vital to the performance of a program throughout its lifecycle. Essential Functions of a Data Manager are: - Follows systems necessary to ensure that assigned, required data is compiled, prepared, reviewed, approved, published, and submitted to or received from the customer in quality form, on time, and within budget. - Contributes to a configuration/data management plan, when required, to define and provide an integrated system for the analysis, planning, monitoring, storage and retrieval, status reporting, receipt, and submission of data required on a program. - Implements processes and procedures necessary for the generation of the data items and monitors adherence and quality to the CDRLs and DIDs. - Ensures the establishment, maintenance, and project level control of master files for all data in accordance with a Configuration/Data Management Plan. - Reviews all deliverable data for conformance to customer requirements and coordinates this effort with the preparing function. - Analyzes requirements of contractual data to establish and/or provide direction to preparing groups. - Establishes program milestone targets for each data element and develops methods/procedures of reporting progress against these milestones. - Maintains knowledge of Data Item Descriptions (DID), applicable MIL-STD, and Contract Data Requirement Lists (CDRLs). - Prepares reports/briefings for program management as required in fulfilling the role established for data management on the program. - Performs other duties and responsibilities as required. - Process, track, and manage engineering releases and changes of documentation and software according to project schedules, including the resolution of resource issues relative to the processing of document change orders. - Work with stakeholders to ensure timely review and validation of releases. - Responsible for distributing software media to internal and external customers. - Work with external customers to ensure that data is accurately and securely delivered - Maintains strict configuration control of engineering artifacts within enterprise control. Required Education, Experience, & Skills - Bachelors degree + 2 years Configuration Data Management equivalent experience - Ability to obtain a U.S. DoW Secret Clearance - Strong communication and organization skills - Working knowledge of Configuration Management/ Data Management Industry Standards Preferred Education, Experience, & Skills - 2+ years related work experience - Knowledge of Product Life Management systems and CDRLs, SDRLs - Strong communication skills and experience working with colleagues in various types of roles and departments - Active Secret clearance Pay Information Full-Time Salary Range: $72150 - $122655 Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics. About BAE Systems Electronic Systems BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts - defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team-making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference. Electronic Systems (ES) is the global innovator behind BAE Systems' game-changing defense and commercial electronics. Exploiting every electron, we push the limits of what is possible, giving our customers the edge and our employees opportunities to change the world. Our products and capabilities can be found everywhere - from the depths of the ocean to the far reaches of space. At our core are more than 14,000 highly talented Electronic Systems employees with the brightest minds in the industry, we make an impact - for our customers and the communities we serve. This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

Iowa
$72.2K - $122.7K / year
Job Closed
Full TimeRemoteTeam 5,001-10,000Since 2011H1B Sponsor

• Work at the intersection of Artificial Intelligence and Threat Research • Work closely with subject-matter experts in cybersecurity to understand analyst workflows and their security operations procedures • Post-train LLMs and agents — supervised fine-tuning and reinforcement learning (RLHF/RLAIF, PPO/GRPO/DPO, reward modeling) — to automate analyst procedures and improve reliability on real security tasks • Devise AI agents and combine them into increasingly complex workflows: planning and reasoning loops, tool and function calling, and retrieval and memory • Research new approaches to agentic planning, and prototype state-of-the-art methods from the literature • Establish objective criteria for benchmarking agentic systems — evals, LLM-as-judge pipelines, and trajectory-level metrics, with real statistical rigor • Optimize prompts and inference to get the most out of every model • Collaborate and coordinate across Engineering, Data Science, and Managed Services teams, and partner with engineers to take prototypes toward production • Keep track of developments in the field of Artificial Intelligence and help identify, define, and prioritize areas for research

United States
$120K - $180K / year
Sofka Technologies logo

Principal Full Stack Data Scientist

Sofka Technologies

To transform people’s lives being the most trusted technology partner

Data Scientist29 days ago
ContractRemoteTeam 1,001-5,000Since 2013H1B No Sponsor

• Diseñar y construir pipelines de datos que alimenten los flujos de entrenamiento e inferencia de ML. • Desarrollar, evaluar e iterar modelos de machine learning y estadísticos orientados a soluciones de negocio. • Gestionar el ciclo de vida completo del modelo: desarrollo, validación, despliegue y monitoreo. • Integrar herramientas de GenAI (LLMs, copilots, agentes) en el flujo de desarrollo diario para acelerar las entregas. • Desplegar modelos en entornos de producción garantizando confiabilidad, rendimiento y mantenimiento del sistema. • Colaborar con stakeholders para traducir problemas complejos de negocio en soluciones funcionales de ciencia de datos. • Documentar el trabajo con claridad suficiente para que pueda ser mantenido y extendido por el equipo.

Colombia
Part TimeRemoteTeam 201-500

Role Description Are you data-driven, technically minded, and eager to improve one of the biggest affordable solar programs in the United States? Then join our team as a Solar Data Intern! Your efforts will directly contribute to the launch of a high-profile program with state-wide impacts. In this part-time (15-20 hours/week, ideally between Monday and Thursday) role, you’ll: - Organize, clean, and validate essential datasets to ensure they map successfully from their former system into ours. - Identify trends, investigate discrepancies, and propose deliverables by cross-collaborating with various teams within Energy Solutions' largest program. - Share your progress with high-level staff, including Team Leads. This experience will grant you: - Real-world experience working on a multi-million-dollar solar program and with its clients. - Understanding of data quality and its impact. - Proficiency in checking data quality and accuracy. You will also gain or deepen: - Software know-how, especially Excel. - Insight into behind-the-scenes software development and databases. - Potential client-facing experience and presentation(s). Qualifications - Intermediate to advanced Microsoft Excel skills. - Currently enrolled full- or part-time in an undergraduate program as a second to fourth-year student or enrolled in a graduate program. - Currently enrolled in or previously completed coursework in data, computer science, or an engineering-related field of study. - Strong research, technical writing, and analytical skills. Requirements - At least 4 work hours of your workday must overlap with the standard 9:00 AM to 5:00 PM workday in Pacific Standard Time (PST). - The ability to attend meetings between 9:00 AM and 5:00 PM PST on your workdays is preferred. - Currently enrolled full- or part-time in an undergraduate program as a second to fourth-year student or enrolled in a graduate program. - A US Citizen or permanent resident. - Available to meet your weekly hours requirement between May and August for Summer and between September and November for Fall. - Motivated by the Energy Solutions’ mission to reduce carbon emissions with an equity lens. Benefits - Undergraduate student: $21/hr. - Graduate student: $24/hr. Application Process You may apply to up to 2 positions per cycle. To apply, please submit: - Your updated resume/CV. - 2 short essays that meet the criteria below: - Be original documents written by you. - Be between 250 and 500 words each. - Answer the following prompts: - Describe how you have overcome adversity and applied the lessons learned to your academic, professional, or personal life. - Describe how the Internship you apply for will enhance or help launch your career in an energy-related industry. - Your work sample must: - Be an original document written by you. - Be between 1 and 3 pages long, single or double spaced, not including sources. - Demonstrate your ability to communicate your thinking about an idea. Important Notes - Our Fall 2026 Internship opportunities close on June 26, 2026, at 5:00 PM PST. - We will not accept late applications or make exceptions regarding the criteria. - We reserve the right to close our applications before the deadline. - If you have questions, please reach out to internships@energy-solution.com .

United States
$21 - $24 / hour
Job Closed