Sr. Data Scientist
Wex
WEX is an innovative payments and technology company leading the way in a rapidly changing environment. Our goal is to simplify the business of running a business for our customers and free them to spend more time, with less worry, on the things they love. We are on a journey to build a unified, world class user experience across our products and services and leverage customer driven innovation to power our growth and strategic initiatives.
About the Role
Are you a motivated and skilled AI and Data Scientist eager to make a real impact? Join our innovative team and contribute to cutting-edge AI/ML applications that are transforming industries such as fleet & EV, Health Benefits, and Corporate Payments. In this role, you will apply your data science and AI expertise to develop solutions that address complex, real-world problems for both internal and external customers. If you are excited about the potential of AI and machine learning and want to be part of a mission-driven organization, we would love to hear from you.
How You’ll Make an Impact
Contribute to the development and implementation of AI/ML models and algorithms to drive innovation across various industries, including fleet & EV, Health Benefits, and Corporate Payments
Collaborate with cross-functional teams to identify and prioritize impactful use cases for AI/ML applications
Participate in rapid prototyping efforts, focusing on learning from experiments and iterating on solutions to identify the most effective approaches
Demonstrate creative thinking to develop innovative AI/ML solutions
Assist in embedding AI/ML models into web and mobile applications
Contribute to the development of solutions leveraging large language models and other advanced AI techniques to tackle complex problems, such as natural language understanding, text generation, and knowledge representation
Conduct data analysis and feature engineering to extract valuable insights and improve model performance
Collaborate with our AI platform team to design, develop, and deploy scalable and robust AI/ML solutions to solve business problems and improve operational efficiency
Monitor and optimize AI/ML models to ensure their accuracy, reliability, and performance in production environments
Stay updated with the latest advancements in AI/ML technologies and apply them to drive innovation
Actively participate in knowledge sharing and continuous learning within the team
Experience You'll Bring
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7+ years of relevant work experience (e.g., as a data scientist), including experience applying advanced analytics to planning and infrastructure problems.
OR 6+ years of relevant work experience with a Master’s degree in STEM or a related field
OR 3+ years of relevant work experience with a PhD in a related field
Advanced experience with statistical software (e.g., R, Python) and database languages (e.g., SQL)
Experience aligning generative AI and advanced analytics with business objectives through iterative experimentation, rapid prototyping, and stakeholder engagement.
Proven experience designing and deploying Agentic AI workflows, enabling autonomous, goal-driven decision-making processes in dynamic business environments.
Comfortable integrating foundation models (e.g., GPT, Claude) with structured and unstructured data for real-time insights and task automation.
Hands-on expertise implementing RAG (Retrieval-Augmented Generation) pipelines that combine large language models with contextual enterprise knowledge bases for scalable, trustworthy AI solutions.
Advanced experience building, cleaning, and testing data quality for data sets preceding modeling
Strong problem-framing, problem-solving, project management skills, customer service, and communication skills
Deep understanding of modeling and statistical approaches (e.g. logistic regression, linear regression, random forests, etc.)
Experience with end-to-end feature development (owning feature definition, roadmap development, and experimentation)
Experience distilling informal customer requirements into problem definitions, dealing with ambiguity, and competing objectives
What would make you stand out:
Holding a Master’s or PhD in a quantitative or computational field (e.g., Computer Science, Statistics, Applied Mathematics, Data Science) with a research focus on machine learning, optimization, or natural language processing.
Demonstrated success designing and deploying Agentic AI architectures, where AI agents make context-aware decisions and orchestrate workflows with minimal human intervention.
Strong track record implementing Retrieval-Augmented Generation (RAG) systems that combine large language models with internal knowledge sources—enhancing explainability, compliance, and accuracy in enterprise AI solutions.
What We Offer
A dynamic, innovative, and collaborative work environment that fosters creativity and encourages out-of-the-box thinking
Opportunity to work on cutting-edge AI/ML projects that have a significant impact on various industries, including fleet & EV, Health Benefits, and Corporate Payments
Access to state-of-the-art technology, tools, and resources to support your work and professional development
Mentorship from experienced AI/ML professionals who are leaders in their field and dedicated to helping you grow and succeed
Collaborative opportunities with cross-functional teams, allowing you to expand your skills and knowledge across various domains
Continuous learning and development opportunities, including workshops, conferences, and training programs to keep you updated with the latest advancements in AI/ML
Flexible work arrangements that promote work-life balance and support your personal and professional well-being
Competitive compensation package, including salary, benefits, and performance-based bonuses
Join a purpose-driven organization that is committed to making a positive impact on society through innovation and technology
Be part of a collaborative, inclusive, and supportive team that values diversity, integrity, and excellence
Enjoy a culture that promotes work-life balance, fosters continuous learning, and celebrates individual and collective achievements
Align yourself with a company that prioritizes customer-centricity, sustainability, and ethical business practices
A diverse and inclusive workplace that values and celebrates individual differences and fosters a sense of belonging