Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.
Work You’ll Do
As a Data Scientist, you will drive R&D initiatives to advance the frontiers of artificial intelligence in support of internal research and governmental space clients. Your work will center on developing Proofs of Concept (POC), Minimum Viable Products (MVPs) and client deliverable solutions that leverage traditional ML, generative AI, and agentic AI. In this role, you will leverage your expertise in Python, Jupyter notebooks, pandas, and NumPy to develop and maintain data pipelines, apply advanced machine learning techniques and extract actionable insights from large, complex datasets. You will collaborate closely with mission operations teams and client stakeholders, presenting technical findings to audiences of varying technical backgrounds and responding to high-priority analytic requests. Responsibilities will include:
- Develop, implement, and maintain data pipelines to process and analyze large, complex datasets in support of the client mission.
- Apply advanced data science techniques—including supervised and unsupervised machine learning, spatial analysis, and time-series modeling—to extract actionable insights for mission-critical operations.
- Build, test, and optimize analytic methodologies and AI/ML solutions for integration into user-facing technical tools, including cutting-edge GenAI and AgenticAI methods to solve complex, real-world problems.
- Collaborate directly with client stakeholders and mission operations teams to understand requirements, present findings, and tailor analytic solutions to evolving needs.
- Maintain and uphold data science best practices on new methodologies, technologies, industry trends, and open-source packages.
- Document code, workflows, and analytic processes following best practices to ensure reproducibility, transparency, and knowledge sharing within the team.
- Prepare and deliver clear, concise technical briefings and presentations to audiences ranging from technical peers to senior leadership and non-technical stakeholders.
- Respond rapidly to high-priority analytic requests, adapting to shifting mission priorities while maintaining high standards of technical rigor and communication.
- Iterate on and/or create repeatable, reusable processes and scalable data systems that meet technical and deployment challenges.
- Work cross-functionally with other software, hardware & data engineers, account manager, PMO team and leadership to help ensure project delivery and success.
The Team
Deloitte’s Government & 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 professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our Cyber Defense & Resilience offering assists clients in defending against advanced threats by transforming security operations, monitoring technology, data analytics, and threat intelligence. Helps manage and protect dynamic attack surfaces and provides rapid crisis and cyber incident response, ensuring clients can be ready for, respond to, and recover from business disruptions.
Qualifications
Required:
- Bachelor’s degree required
- Must be able to obtain and maintain the required TS/SCI security clearance for this role
- Ability to travel 5-30%, on average, based on the work you do and the clients and industries/sectors you serve
- 2+ years of experience in executing data science methodologies using common programming/scripting languages
- 2 + years of experience in Data Analytics, Data Science, and Data Engineering.
- 3 + years of experience in Advanced Python coding, and modeling.
- 2 + years of experience working with NumPy, Panda, and Spark.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Preferred:
- Experience contributing to growth and innovation in data science and AI/ML solutions
- Experience with AI/ML solutions for integration into user-facing technical tools, including cutting-edge GenAI and AgenticAI methods
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
