Location:Alexandria, VA, USAPay 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.

Synectics for Management Decisions Inc
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