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Chief Data Strategist in Herndon, VA at Booz Allen Hamilton Inc.

Date Posted: 11/15/2018

Job Snapshot

Job Description

Job Number: R0042508

Chief Data Strategist

Key Role:

Apply advanced technical and analytical expertise to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights, which in turn can provide a competitive advantage or address a pressing business problem. Demonstrate expertise in performance management, computer science, software development, and the latest technologies to design and implement analysis infrastructure and tools, analytic workflow processes, and complex data visualizations. Leverage knowledge of domain performance, program management, mathematical and statistical concepts, computer science, and domain expertise to bridge the gap between technologists and mathematicians, ensuring software solutions meet analytic requirements.

Basic Qualifications:

-7+ years of experience with analytics, data science, enterprise data governance concepts, data engineering, and machine learning, including serving in technical project and team leadership roles

-5+ years of experience with business development, client relationship management, and team leadership

-Experience with writing technical proposals, grant applications, or journal articles

-Experience with the application of data science and advanced data analytics, including structured, unstructured, or relational and data mining and machine learning techniques

-Experience with leveraging Big Data or Data Warehousing to derive analytics with demonstrated business decision making improvement

-Experience with developing and mentoring staff at all levels and building an internal capacity to deliver high quality and highly innovative analytics services

-Experience with developing and implementing successful market strategy and business development and leading proposal, project, and intellectual capital creation

-Experience with presenting to senior executives and industry conferences and authoring whitepapers and peer-reviewed articles

-Ability to obtain a security clearance

-BA or BS degree

Additional Qualifications:

-Experience with solution and Cloud architecture and Cloud security

-Experience with Big Data technology, including Hadoop, Spark, Streaming, and Batch Data

-Experience with Big Data analytics, semantic ontologies, and natural language processing

-Experience in the government, particularly DoD a plus
-BA or BS degree in Statistics, Machine Learning, Mathematics, CS, Computer Engineering, Industrial Engineering, Operations Research, or equivalent related technical field preferred; MA or MS degree in Statistics, Machine Learning, Operations Research, or a related technical field a plus

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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