Job Description

Sr. Data Scientist, AI

locations US – Remote

time type Full time

job requisition id R12883

Sr. Data Scientist, AI

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.

This is a really exciting time to be working in Data & Analytics at WEX. We are driving towards our True North vision of providing the right data, in the right place, at the right time so that we can enable and accelerate the journey to being a data-driven organization. There is strong executive support for all things data and it is viewed as a critical component for our enterprise transformation activities. What we need now is someone with a passion for solving problems and driving actionable outcomes with data. You will do this through performing and developing the following competencies: Insights Driven, Stakeholder Aligned, Results Focused, Dynamic Collaboration, Quality Mindset.

What You’ll Do

  • Lead the effort to design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions through the utilization of 3rd party and custom developed LLMs
  • Collaborate with business stakeholders and counterparts from across the organization to define success criteria; collaborate with engineering partners to plan for and deliver productionalized solutions; collaborate with other data scientists and AI specialists to create LLM products and other data science and machine learning solutions
  • Develop and code software programs, algorithms, and automated processes to cleanse, prepare, integrate, and evaluate large datasets from disparate diverse sources.
  • Identify key insights from large data sources; interpret and communicate insights from data and analysis to product, service, and business managers
  • Lead projects with both hands-on coding/analysis and thought leadership with a minimum viable product and minimum lovable product mindset leveraging the best technologies and methodologies appropriate for the business need and maturity
  • Proactively identify and communicate the challenges, opportunities, risks, and threats associated with project work to ensure the timely completion of the entire product

How You’ll Engage

  • Business Value Mindset: Continuously considering how actions lead to business value and balancing benefit versus opportunity cost
  • Quality Mindset: Trust in our findings is critical so data and analytic quality is understood and accounted for from the beginning
  • Insights Driven: Clear hypothesis and objective driven analytics that help drive our business decisions and ongoing metrics
  • Stakeholder Aligned: Understand the needs and audience for deliverables with a succinct and tailored message to maximize impact
  • Results Focused: Rigorous focus on how analytics drive the end to end experiences with clear path to production and measurable impact
  • Dynamic Collaboration: Drive continual improvement of our teams best practices and processes to power collaboration

Experience You’ll Bring

  • 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
  • Experience creating and productionalizing LLM solutions by fine tuning open source models
  • Advanced experience with statistical software (e.g., R, Python) and database languages (e.g., SQL)
  • 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
  • Bachelor’s degree in data science, machine learning, artificial intelligence, STEM, or a related field

What Would Make You Stand Out

  • Masters or PhD in a related field
  • Combination of technical and business acumen
  • Experience with Dataiku
  • Experience in Agile methodologies