Data Scientist 3

WEX Inc   •  

South Portland, ME

Industry: Accounting, Finance & Insurance

  •  

5 - 7 years

Posted 35 days ago

General Purpose:
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Essential Duties and Responsibilities:
• Drive both descriptive and predictive analytics to new levels within WEX. Profile, segment and cluster our customers into new and evolving models to generate better response rates, revenue growth and an enhanced customer experience. • Build “what if” models to aid in the rapid testing, validation and deployment of new campaign ideas • Explore unstructured digital data looking for trends about WEX, our customers or related industry topics that could spur lead generation opportunities • Discover opportunities for business growth by uncovering new insights, data assets, and products via applied data analysis • Design and deliver interactive data visualization & reporting tools using modern methods and systems • Automate data workflows to efficiently manage large data sets and create replicable analyses • Data Science managers at WEX are involved with a broad range of payment customers, with responsibilities that span the entire life cycle of analytics projects: ? Collaborate with internal and external customers to develop clear business and measurement objectives ? Oversee project execution and delivery ? Apply various quantitative methods, including regression, multivariate and graphical methods to analyze and interpret information from complex data sources ? Provide integrated analytical solutions across disparate customer data sets ? Develop a high level of competence in several of Python, R, SAS, javascript, Tableau, Excel, and other statistical analysis language and tools ? Develop and maintain functional expertise in a broad array of payment businesses ? Conceptualize and communicate strategic solutions

Qualifications

Minimum Required Qualifications for Consideration:
• 5+ years of business experience working in a quantitative role as a Data Scientist, Statistician, or Data Analyst • Bachelor’s degree in a quantitative field such as Statistics, Economics, Computer Science, Mathematics, or equivalent experience • Industry experience with one or more of the following: linear and logistic regression, discriminant analysis, dimensionality reduction, text mining, unsupervised classification methods, complex data
MANAGEMENT AND TRANSFORMATION • Experience managing project teams • Experience strategically applying advanced analytics to complex business problems involving a wide array of data sets and conveying results, challenges, direction, and timelines to management and clients • Fluency with Microsoft PowerPoint, Word, and Excel • Expert knowledge of at least one of SAS, Python, or R. Familiarity with SQL. • Must pass a successful background investigation • Willingness to travel on occasion

Preferred Qualifications:
• Quantitative graduate degree (e.g., Statistics, Applied Economics, Data Science) strongly preferred • Knowledge of Hadoop/Hive preferred

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