Principal Data Sciences

Summary

Your role in our mission

Essential Job Functions

• Designs, develops, programs methods, processes and systems to consolidate and analyze unstructured, diverse “big data” sources using machine learning and predictive modeling tools.
• 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
• Champions global intitiatives in data sciences- like building new centers of excellence ( by domain or technology); acts as leading subject matter expert providing guidance and long term vision
• Influences a client's strategic decisions by using deep industry expertise and deploying innovative analytics solutions in the operational systems

Basic Qualifications

• Bachelor’s degree in a technical discipline related to Statistics, Analytics, Mathematics, Psychology, or Data Analysis Masters or PhD degree in related field preferred.
• Typically 12+ 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 and 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 and manages large scale projects with teams ranging from 3-5 data scientists
• influence senior stakeholders on leveraging and adopting analytics towaards art of the possible
• 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
• Ability to handle multiple tasks simultaneously and switch between tasks quickly
• Willingness to travel

Work Environment

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

What we're looking for

What you should expect in this role

Competency1

Competency2

Competency3

Competency4

Competency5