AI Data Science Senior Consultant - Secret Clearance Required

at  Deloitte

Do you want to build your brand by working for a leading consulting firm that drives eminence in the marketplace? Are you interested in leveraging your analytical skills and strategic ideas to improve mission execution? If so, Deloitte could be the place for you! Our Government Public Services (GPS) Strategy and Analytics team brings deep industry expertise, rigorous analytical capabilities and a pragmatic mindset to help solve our client’s most complex business problems. Join our team and play a key role in helping to design our clients’ roadmap to the future and help transform the GPS marketplace.

QUALIFICATIONS

Required:

• Bachelor’s degree required
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
• Must have Active Top Secret clearance or above
• Travel up to 10%
• 5+ years of experience with programming languages such as SQL, R, Python
• 5+ years of experience with Machine Learning (ML) and/or Artificial Intelligence (AI) Modeling
• 5+ years of experience with data visualization tools, such as Tableau, Qlik, PowerBI, d3.js, or equivalent

Preferred:

• 5+ years of relevant consulting or industry experience
• Prior professional services or federal consulting experience
• Knowledge of data mining, machine learning, data visualization and statistical modeling

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

The Data Scientist will join a team responsible for developing advanced analytics products; applying Machine Learning, Artificial Intelligence and statistical programming tools to enterprise data to advance and enable key mission outcomes. In this role, they will support all phases of analytic work product development, from the identification of key business questions to ETL, from performing analyses to delivery of insights to decision-makers, with particular attention to the interplay between data and the business processes that produce and consume it.