WEX

Data Scientist

WEX

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $120,900 - $136,800 per year

About the role

  • 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

  • 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
  • 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
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