Data Scientist

Overview Who We Are : 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 Data Science team uses a variety of advanced methodologies (including 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 risk to proactively manage the risk throughout the client’s life-cycle.

You will be working with the latest data and machine learning technologies and algorithms in a dynamic environment alongside our stakeholders and domain experts to build models and drive better decision-making. Our Company : WEX is a fast-growing multinational payments company based in Portland, Maine. WEX headquarters is in the heart of Portland, with access to a vibrant community.

We offer generous paid time off and volunteering time, and provide benefits and a culture that values diversity and inclusion. Responsibilities Partner with stakeholders to understand their needs and translate them into data-driven solutions to measure and monitor risk across the firm’s products and services. Leverage a broad spectrum of advanced statistical and machine learning methods and technologies to design flexible, scalable, and automated modeling solutions.

Develop code and automated processes to combine and transform large volumes of data from disparate sources, to extract informative patterns. Keep abreast with emerging trends in machine learning and identify opportunities to leverage new tools to solve problems and improve processes. Synthesize findings into actionable insights and articulate them to the appropriate stakeholders.

Mentor and support junior data scientists, sharing knowledge and best practices to elevate the data science practice at WEX. Proactively identify and communicate challenges, opportunities, and risks associated with project work to ensure timely completion of the entire product. What You’ll Experience How you'll make an impact : Insights Driven, Stakeholder Aligned, Results Focused, Dynamic Collaboration, Quality Mindset, and Curiosity and Learning.

Experience You’ll Bring 3+ years of hands-on experience in data science, machine learning, or artificial intelligence, preferably in fintech/financial services. Excellent analytical, creative problem-solving, and critical thinking skills, with the ability to tackle complex challenges and deliver innovative solutions. Master’s or Ph.D. in a quantitative field (Mathematics, Statistics, Data Science, Operations Research, Computer Science).

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 data science libraries (e.g., lightgbm, scikit-learn, pandas, numpy). 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 the 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.

How You Will Stand Out 2+ years experience building machine learning risk models in payment processing. Extensive knowledge of data attributes and coverage of risk factors in external bureau data for small business. Experience using cloud environments to develop advanced models (e.g., AWS Sagemaker).

Experience with end-to-end ML lifecycle and MLOps frameworks such as Docker, CI/CD, Airflow. Key Words Data Science, Machine Learning, Statistical Learning, Artificial Intelligence, Credit Risk, Fraud, Finance The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary based on qualifications, skills, and proficiency.

Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission. Non-sales roles are typically eligible for a quarterly or annual bonus.

WEX offers comprehensive benefits including health, dental and vision insurances, retirement savings, paid time off, health savings accounts, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the About Us section. Pay Range: $120,900.00 - $136,800.00 #J-18808-Ljbffr