WEX

Principal Data Scientist

WEX

full-time

Posted on:

Location Type: Remote

Location: Maine • United States

Visit company website

Explore more

✨ AI Apply
Apply

Salary

💰 $215,000 - $243,800 per year

Job Level

Lead

About the role

  • Serve as a principal-level data science leader, embedded into high-impact, high-ambiguity initiatives across our lines of business.
  • Diagnose poorly defined problems, frame them into clear analytical, modeling and agentic approaches, and drive measurable outcomes.
  • Partner closely with Product, Engineering, Risk, Compliance, and Operations leaders (Director–SVP level) to translate business problems into scalable Ai and Agentic solutions.
  • Influence platform and architecture decisions to ensure models and platforms are production-ready, reusable, observable, compliant and can be democratized over time.
  • Act as a technical mentor and thought partner to senior and mid-level data scientists — raising the bar for rigor, experimentation, and impact.
  • Balance near-term delivery with long-term platform thinking - ensuring solutions scale across products, regions, and use cases.

Requirements

  • 12+ years of relevant experience, or 8+ years with a Master’s degree, in Data Science, Machine Learning, Analytics, or a related field
  • Deep, hands-on experience building AI-Native products from ground up in production environments
  • Proven success operating in ambiguous, high-stakes environments, bringing clarity, structure, and results
  • Advanced expertise in statistical modeling, machine learning, and signal detection techniques
  • Experience implementing and bringing Agentic solutions to market
  • Ability to influence without authority - trusted by senior leaders and respected by technical peers
  • Strong product intuition - understands how models/agents translate into decisions, workflows, and real-world outcomes
  • Bias for action paired with sound scientific judgment
  • Excellent communication skills, able to explain complex concepts to technical and non-technical audiences
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related field
  • Master’s degree preferred in Data Science, AI, Machine Learning, or a closely related discipline.
  • Bonus Points For Experience with internal platforms, self-service analytics, or employee productivity tools
  • Strong engineering collaboration skills and comfort working with large-scale data systems.
  • Experience shaping data science standards, tooling, or governance at an enterprise level.
Benefits
  • health, dental and vision insurances
  • retirement savings plan
  • paid time off
  • health savings account
  • flexible spending accounts
  • life insurance
  • disability insurance
  • tuition reimbursement
Applicant Tracking System Keywords

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

Hard Skills & Tools
data sciencemachine learningstatistical modelingsignal detection techniquesAI-native productsagentic solutionsanalyticsproduction environmentsexperimental designdata governance
Soft Skills
influence without authoritycommunication skillsproduct intuitionscientific judgmentmentorshipproblem-solvingcollaborationadaptabilityclarity in ambiguityleadership
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in MathematicsBachelor’s degree in StatisticsMaster’s degree in Data ScienceMaster’s degree in AIMaster’s degree in Machine Learning