In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The team

Deloitte's Government and Public Services (GPS) practice - our people, ideas, technology and outcomes-is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

The AI and Data Operations team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting enterprise programs and differentiated strategies to win in their chosen markets.

Work you'll do

• Be a Pioneer: Collaborate in the development and deployment of a groundbreaking analytics platform that will set a new standard in the national security sector.

• Unleash Insights: Dive into massive spatiotemporal datasets, applying advanced machine learning techniques (clustering, forecasting, NLP, graph analytics, and more) to extract actionable intelligence that drives mission-critical decisions.

• Lead the Charge: Provide technical mentorship and guidance, championing best practices in data science and the innovative application of quantitative methods to overcome complex challenges.

As a Data Scientist, you will join a high-performing technical team to deliver cutting-edge analytics for high-visibility national security missions. You will build and maintain data pipelines and extract meaningful insights from very large datasets. You will leverage traditional and novel data science techniques to build core analytic methodologies and solutions for user-facing technical tools. You should have a strong understanding of fundamental data science and statistical analysis and will use your expertise in supervised and unsupervised learning models, spatial data science, and time-series analysis. You will advocate for and demonstrate best practices in code documentation, development, task tracking, and communication of technical work product. Given the high-visibility of the role, a successful candidate will have the ability to interact appropriately with client stakeholders, including presenting technical information to audiences of varying technical sophistication.

Why Choose Us

• Shape an Industry: Be at the genesis of a capability that will change how national security agencies operate, enhancing decision-making and optimizing the use of resources.

• Unparalleled Impact: See your work have a tangible, positive impact on high-visibility national security missions.

• Thrive with the Best: Join a powerhouse team of data scientists and engineers, working in a collaborative, intellectually stimulating environment.

Qualifications

Required:

• Bachelor's degree required

• 2+ years of Python experience

• 1+ year of Statistical Analysis experience

• 1+ years of unsupervised and supervised machine learning experience

• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

• Active TS/SCI with poly security clearance required for this end client

• Ability to work 100% onsite in Chantilly, VA

Preferred:

• Palantir

• Familiarity with Spark

• Clustering Techniques

• Geospatial data science

• Large scale data pipelines

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

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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.