Sr. Data Scientist

Right now, we are looking for a tenured data scientist to help us design and build the next generation of predictive tools that will guide our digital capabilities and offerings. The position offers a unique opportunity to be part of a small, fast-paced, challenging, and “start-up” like environment.

• Apply various statistical and machine learning techniques, to develop segmentations, predictive models, experimental designs, and decision analyses
• Gather, manipulate, and analyze large data sets from multiple sources
• Develop algorithms to optimize product offering, pricing, and distribution channel
• Transform data into impactful business insights, strategy recommendations and implementation plans to improve key performance metrics for the business
• Evaluate model output, formulate and test hypotheses, weigh alternatives, and determine appropriate responses
• Apply deep, creative, rigorous thinking to solve broad business problems
• Collaborate closely with various functional groups such as Product, Marketing, and Technology to successfully deliver results
• Effectively communicate findings and solutions to a variety of audiences
*** The preferred locations are posted but we will consider anyone located within the  footprint

Required Qualifications:
• 8+ years of experience in one or a combination of the following: reporting, analytics, or modeling or a Masters’ degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 5+ years of experience in one or a combination of the following: reporting, analytics, or modeling
• 5 + years of experience building predictive models
• 5 + years of experience using quantitative machine learning techniques

Desired Qualifications:
• Extensive knowledge and understanding of research and analysis
• Strong analytical skills with high attention to detail and accuracy
• Excellent verbal, written, and interpersonal communication skills
• Ability to think creatively to find innovative solutions to complex analytical questions
• Ability to work in a fast paced deadline driven environment
Other Desired Qualifications
• 6+ years of hands-on experience building predictive models using regression analysis
• 5+ years hands-on supervised and unsupervised machine learning techniques (e.g. CHAID, random forest, boosted trees, Bayesian modeling, support vector machines, neural networks, clustering, graphical models)
• Expert knowledge of SAS and SQL.
• Hands-on experience with one or more of the following: R, Python, Pig, Hive.
• Hands-on experience with distributed computing e.g. Hadoop
• Familiarity with web analytics concepts (i.e. sales funnel analysis, click through, impressions, etc.)
• Breadth of knowledge includes full lifecycle of customer from targeting to acquisition, customer performance, loyalty and retention
• Financial industry and digital marketing experience a plus
• Familiarity with digital channel systems, processes, and analytic tool


qualified candidates should email resume to