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