ParsonsKellogg · 3 months ago
Data Scientist, Senior (TS/SCI w/ Poly)
US - MD (Field Location)
Full-time
Onsite
Senior Level
$121K/yr - $217K/yr
5+ years expParsonsKellogg is seeking a talented Senior Data Scientist to contribute to the success of the U.S. Cyber Command. The role involves designing and maintaining infrastructure for AI applications, optimizing engineering workflows, and managing CI/CD pipelines while collaborating with cross-functional teams.
AdvertisingMarketing
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Design, implement, and maintain robust infrastructure for enterprise AI applications in cloud environments (AWS, Microsoft Azure)
Develop and optimize engineering workflows and processes to support AI model development, deployment, and maintenance
Architect and manage CI/CD pipelines for continuous integration and continuous delivery of AI models and applications
Implement and manage containerization solutions using technologies like Docker and Kubernetes
Ensure efficient AI model lifecycle management, including versioning, monitoring, and scaling
Collaborate with AI/ML engineers and data scientists to streamline deployment processes and optimize resource utilization
Oversee system performance, security, and scalability of AI infrastructure
Continuously research and implement new DevOps tools and practices to enhance efficiency
Qualification
Required
Active TS/SCI w/polygraph
Bachelor's degree in a relevant technical field with 8 years of experience; Master's degree in a relevant technical field with 5 years of experience; 4 additional years of experience will be considered in lieu of degree
Proficiency in DevOps principles and practices
Demonstrated expertise in containerization
Preferred
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams
Ability to translate complex technical concepts into actionable engineering solutions
Experience with infrastructure as code (IaC) tools (e.g., Terraform, Ansible)
Understanding of machine learning concepts and their implications for infrastructure
Continuous learning mindset to stay abreast of cutting-edge DevOps and AI advancements
Extensive experience with AI model lifecycle management and maintenance
Proven experience in architecting and managing CI/CD pipelines
Familiarity with cloud platforms (AWS, Microsoft Azure) for infrastructure deployment and management
Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack)
Benefits
Medical
Dental
Vision
Paid time off
401(k)
Life insurance
Flexible work schedules
Holidays
Company
ParsonsKellogg
ParsonsKellogg has stood apart in the $20 billion promotional products industry.
51-200 employees
Funding
Current Stage
Growth StageRecent News
Providence Business News
2025-08-05
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