Advisor Data Sciences

Essential Job Functions

• Builds analytic models to identify and quantify solutions to business problems. Interprets and communicates insights and findings from analysis and experiments to client, service, and business managers. Determines probable future outcomes and recommends and delivers new business process improvements.
• Provides leadership and work guidance to less experienced personnel towards build of software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Determines the right modeling methodology to the use case, available structured and unstructured data, cost and timing constraints to solve the large and complex business issues and delivers compelling and clear business focused insights , for this he/she may take guidance of the Advisor/strategist
• Influences a client's strategic decisions by using deep industry expertise and deploying innovative analytics solutions in the operational systems
• ⢠Summarizes complex ideas by developing visual models to display insights to simplify user experience.

Basic Qualifications

• Bachelorâs degree in a technical discipline related to Statistics, Analytics, Mathematics, Psychology, or Data Analysis Master's degree in related field preferred.
• Typically 7+ years of relevant experience in the area of statistics/analytics/machine learning
• Extensive knowledge of data science methodologies including but not limited to classical regression, neural nets, sequence analysis, cluster analysis, and text mining

Other Qualifications

• Extensive understanding of analytics programming languages (eg. R, SAS, SPSS, Python). Advanced understanding of analytics deployment architectures
• Extensive machine learning techniques & mathematical modeling skills
• good knowledge of data visualization techniques and software tools (eg. Spotfire, SAS, R, Qlikview, Tableau, HTML5, D3)
• Guides and assigns work of others & manages large scale projects with teams ranging from 2-4 data scientists
• Willing to work in a matrix environment
• Good creative thinking, problem solving, planning, time-management, project management and organization skills to balance and prioritize work
• Willingness to travel

Work Environment

• Office environment
• May require shift or weekend work- shift is unlikely, but weekend work is sometimes the norm