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Chief Data Scientist in Alexandria, VA at Booz Allen Hamilton Inc.

Date Posted: 5/19/2019

Job Snapshot

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Job Description

Job Number: R0024324

Chief Data Scientist

Key Role:

Serve as a senior technical leader of a data science and machine intelligence team, leveraging expertise with consulting to define business problems, work with and manipulate data, develop data science and machine learning algorithms and solutions, and develop machine learning models into production environments. Work across client sets to address business challenges, perform analysis, and explain the analysis to senior clients. Lead the identification of opportunities to apply knowledge and expertise of deep learning technologies to develop prototypes and analytic models to challenges with new and existing clients through the application of new, innovative capabilities. Lead and support engagements across government clients. Provide thought leadership, drive business growth within the market, and develop and maintain client relationships. Take an active role in the development, mentoring, and coaching of the team, work actively to enhance the diversity of the firm, and play a lead role in attracting, developing, and retaining talent.

Basic Qualifications

-10+ years of experience with designing, developing, and leading analytics or software development projects in Java, Scala, or other high-level languages

-3+ years of experience with Cloud computing and open source solutions

-Experience in the application of data science and machine learning algorithms, including structured, unstructured, or relational and data mining and machine learning techniques

-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

-TS/SCI clearance

-BA or BS degree required

Additional Qualifications

-Experience with developing analytics for geospatial and commercial imagery data

-Experience with developing and driving cross-cutting capabilities or solutions

-Experience with deep learning frameworks, including Theano, Torch, Caffe, or AWS Rekognition

-Experience with Natural Language Processing toolkits, including Stanford NLP or OpenNLP

-Experience with business development and leading proposal, project, and intellectual capital creation

-Ability to be well-versed in modern software development techniques, methods, and technologies

-MS degree in Computer Science, Mathematics, or Physics preferred; PhD degree in Computer Science, Mathematics, or Physics a plus


Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

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