Location: | Alexandria, VA, USA | Pay Rate: | |
Pay Type: | Employment Type: | Full Time |
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.
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