Sr Data Scientist at Wex

Sr. Data Scientist 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
Collaborate with product and service teams to identify questions and issues for data analysis and experiments
Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. 
Identify key insights from large data sources; interpret and communicate insights and findings from analysis and experiments to product, service, and business managers
Lead projects with hands-on analysis and modeling, drawing from multiple analytical methods to choose the best-fitting tool and level of complexity appropriate for the business challenge(s)
Engage with counterparts across the organization to identify, prioritize, frame, and structure complex and ambiguous challenges, prioritizing those where advanced analytics projects or tools can have the biggest impact
Identify and communicate the challenges and opportunities that the group should be working on, highlighting areas for improvement
Help define the analytical direction and influence the direction of the associated engineering and infrastructure work
Brainstorm and articulate business questions and investigate answers using data and mathematical techniques 
Translate analysis results into business recommendations
You will also deliver artifacts that set the standard in your organization for excellence, from designs to algorithms to implementations to technical documents
Help deliver AI tools to the business such as LLMs
How you’ll engage: 
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
Quality Mindset: Trust in our findings is critical so data and analytic quality is understood and accounted for from the beginning
Experience you’ll bring:
Bachelor’s degree in STEM or a related field 
4+ years of relevant work experience (e.g., as a data scientist), including experience applying advanced analytics to planning and infrastructure problems.
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
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
The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more.  For more information, check out the "About Us" section.Salary Pay Range: $123,000.00 - $164,000.00