Data Scientist

WEX

. 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.

Posted 3/28/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $120,900 - $136,800 per yearWebsite

Tech Stack

Tools & technologies

NumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

3+ years of hands-on experience in data science, machine learning, or artificial intelligence, preferably in fintech/ financial services industry
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. degree in a quantitative field such as 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 such as lightgbm, scikit-learn, pandas, numpy etc.
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

Benefits

Comp & perks

health, dental and vision insurances
retirement savings plan
paid time off
health savings account
flexible spending accounts
life insurance
disability insurance
tuition reimbursement
paid volunteering time

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data sciencemachine learningartificial intelligencestatistical techniquesmodelingtesting and inferencesampling methodssupervised learningunsupervised learningSQL

Soft Skills

analytical skillscreative problem-solvingcritical thinkingcommunication skillspresentation skillsadaptabilitycollaborationindependencementoringknowledge sharing

Certifications

Master’s degreePh.D. degree