Synectics
Data Scientist - Applied AI & Federal Innovation (Public Trust Eligible)
Synectics, Alexandria, Virginia, us, 22350
Data Scientist - Applied AI & Federal Innovation (Public Trust Eligible)
Location:
Hybrid - DC Metro Area (on-site as needed)
Clearance:
Ability to obtain and maintain a Public Trust The Mission
At Synectics, we don't build tech for show-we build it for mission. As a Data Scientist, you'll play a critical role in advancing a federal agency's enterprise AI and data strategy. You'll design and deploy machine learning solutions that enhance public service systems, strengthen data integrity, and push innovation forward in secure, scalable environments. ️ Your Role
This is not an internal-only or back-end research role. You'll experiment with advanced AI models, collaborate cross-functionally with engineers and stakeholders, and help move prototypes to production with modern MLOps tools.
Your work will directly influence real-world applications-from LLM-driven workflows to public-impact data systems. What You'll Do
Build and deploy AI/ML models using LLMs, SLMs, AI agents, and intelligent agentic workflows
Collaborate with data engineers, architects, and agency stakeholders to shape solutions
Apply best practices for data quality, model training, fine-tuning, and optimization
Develop NLP-based capabilities including summarization, information retrieval, and chatbots
Track and report model performance using metrics like F1, ROUGE, recall@k, and t-SNE
Implement MLOps techniques using AWS tools such as SageMaker and Bedrock
Contribute to DevOps pipelines using Git and automated test practices
Research emerging AI tools and approaches with the potential to enhance federal mission impact
What You Bring
4+ years of experience as a Data Scientist (must include model development and deployment)
Bachelor's degree in a quantitative field (Mathematics, Engineering, CS, etc.)
Proficiency in Python and common AI/ML libraries (Langchain, Hugging Face, TensorFlow, PyTorch)
Hands-on experience with LLMs, NLP, embedding models, and AI agents
Understanding of MLOps best practices and experience using AWS-based tools
Knowledge of AI performance metrics, data pipelines, and model evaluation
Experience collaborating with cross-functional technical teams
Familiarity with Git and unit/system test practices in a DevOps setting
⭐ Bonus Points For
Master's degree in Computer Science, Engineering, Data Science, Mathematics, or a related field
Experience supporting federal programs or regulated environments
Familiarity with ethical AI or model interpretability practices
Experience participating in the planning of product or capability roadmaps
Why Work with Synectics?
We believe that cleared professionals deserve more than interesting work-they deserve purpose. At Synectics, you'll join a mission-minded team that develops secure, high-impact tech for real-world government transformation. You'll gain exposure to the forefront of applied AI, work with collaborative and skilled colleagues, and be part of a company that actively supports your professional growth. Perks & Benefits
Hybrid work with onsite collaboration as needed
Medical, dental, and vision coverage (HMO, POS, HSA options)
401(k) with employer match
Company-paid life insurance and short/long-term disability
Paid time off, paid leave, and federal holidays
Referral bonus program and continued learning opportunities
Security Clearance Requirement
This position requires the ability to obtain and retain a Public Trust Clearance under federal guidelines.
Synectics is an Equal Opportunity Employer.
We offer a competitive salary and an impressive complete benefits package. We also provide an environment that supports everyone's professional development and growth. We comply with all applicable federal, state, and local regulations. Know Someone Great?
This might not be your role-but if you know someone with a data science mind and a mission-driven heart, please share this with them.
Location:
Hybrid - DC Metro Area (on-site as needed)
Clearance:
Ability to obtain and maintain a Public Trust The Mission
At Synectics, we don't build tech for show-we build it for mission. As a Data Scientist, you'll play a critical role in advancing a federal agency's enterprise AI and data strategy. You'll design and deploy machine learning solutions that enhance public service systems, strengthen data integrity, and push innovation forward in secure, scalable environments. ️ Your Role
This is not an internal-only or back-end research role. You'll experiment with advanced AI models, collaborate cross-functionally with engineers and stakeholders, and help move prototypes to production with modern MLOps tools.
Your work will directly influence real-world applications-from LLM-driven workflows to public-impact data systems. What You'll Do
Build and deploy AI/ML models using LLMs, SLMs, AI agents, and intelligent agentic workflows
Collaborate with data engineers, architects, and agency stakeholders to shape solutions
Apply best practices for data quality, model training, fine-tuning, and optimization
Develop NLP-based capabilities including summarization, information retrieval, and chatbots
Track and report model performance using metrics like F1, ROUGE, recall@k, and t-SNE
Implement MLOps techniques using AWS tools such as SageMaker and Bedrock
Contribute to DevOps pipelines using Git and automated test practices
Research emerging AI tools and approaches with the potential to enhance federal mission impact
What You Bring
4+ years of experience as a Data Scientist (must include model development and deployment)
Bachelor's degree in a quantitative field (Mathematics, Engineering, CS, etc.)
Proficiency in Python and common AI/ML libraries (Langchain, Hugging Face, TensorFlow, PyTorch)
Hands-on experience with LLMs, NLP, embedding models, and AI agents
Understanding of MLOps best practices and experience using AWS-based tools
Knowledge of AI performance metrics, data pipelines, and model evaluation
Experience collaborating with cross-functional technical teams
Familiarity with Git and unit/system test practices in a DevOps setting
⭐ Bonus Points For
Master's degree in Computer Science, Engineering, Data Science, Mathematics, or a related field
Experience supporting federal programs or regulated environments
Familiarity with ethical AI or model interpretability practices
Experience participating in the planning of product or capability roadmaps
Why Work with Synectics?
We believe that cleared professionals deserve more than interesting work-they deserve purpose. At Synectics, you'll join a mission-minded team that develops secure, high-impact tech for real-world government transformation. You'll gain exposure to the forefront of applied AI, work with collaborative and skilled colleagues, and be part of a company that actively supports your professional growth. Perks & Benefits
Hybrid work with onsite collaboration as needed
Medical, dental, and vision coverage (HMO, POS, HSA options)
401(k) with employer match
Company-paid life insurance and short/long-term disability
Paid time off, paid leave, and federal holidays
Referral bonus program and continued learning opportunities
Security Clearance Requirement
This position requires the ability to obtain and retain a Public Trust Clearance under federal guidelines.
Synectics is an Equal Opportunity Employer.
We offer a competitive salary and an impressive complete benefits package. We also provide an environment that supports everyone's professional development and growth. We comply with all applicable federal, state, and local regulations. Know Someone Great?
This might not be your role-but if you know someone with a data science mind and a mission-driven heart, please share this with them.