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Huntsville, AL
Clearance Unspecified Polygraph Unspecified
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Job Description
Join Deloitte's AI & Engineering team to help clients modernize technology platforms, accelerate innovation, and drive meaningful business outcomes. In this role, you will work alongside multidisciplinary professionals to design and deliver modern data solutions that support enterprise transformation. You will help build scalable platforms, analytics products, and data pipelines that enable mission-focused results and measurable client impact.
Work you'll do
As an AI and Data Science Engineer on the AI & Data team, you will be responsible for...
A successful candidate would possess these skills:
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 AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
Qualifications
Required:
Preferred:
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Work you'll do
As an AI and Data Science Engineer on the AI & Data team, you will be responsible for...
- Designing modern data architecture, data pipelines, and workflows using Palantir Foundry and cloud-based technologies
- Building and deploying data engineering solutions that support enterprise transformation and mission-driven outcomes
- Developing analytics products and applications that integrate, transform, and operationalize enterprise data
- Collaborating with cross-functional teams to define requirements, resolve technical issues, and deliver scalable solutions
- Applying DevOps and statistical programming tools to improve data quality, platform performance, and operational efficiency
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
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 AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
Qualifications
Required:
- Bachelor's degree
- 1+ years of experience in data science, data manipulation, or data analysis
- 1+ years of experience working with Palantir Foundry
- Ability to obtain and maintain the required clearance for this role
- Ability to travel 5-25%, on average, based on the work you do and the clients and industries/sectors you serve
- 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:
- 2+ years of experience with pipeline and application development within Palantir Foundry
- 3+ years of experience in professional services or federal consulting
- Experience translating technical concepts for nontechnical audiences
- Experience evaluating and applying new technologies, products, or libraries
- Experience producing written communications for technical and nontechnical stakeholders
- Experience organizing and managing multiple deliverables
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