Lead data scientist at Insight Global Ashburn, VA

Overview

Lead initiatives in Agentic AI, Generative AI, and advanced Data Science. Drive innovation in advanced analytics with federal datasets and enterprise AI solutions. Design and deploy Generative AI systems for autonomous decision-making and workflow efficiency. Design and build agentic agents to enhance and supplement SaaS-based workflows. Build and deploy scalable data pipelines. Apply advanced statistical methods and machine learning techniques for data assessment.

Architect and support build of AI-driven retrieval-augmented generation (RAG), prompt engineering, and knowledge graph projects. Collaborate to produce AI-powered dashboards and insights.

• Lead initiatives in Agentic AI, Generative AI, and advanced Data Science.
• Drive innovation in advanced analytics with federal datasets and enterprise AI solutions.
• Design and deploy Generative AI systems for autonomous decision-making and workflow efficiency.
• Design and build agentic agents to enhance and supplement SaaS-based workflows.
• Build and deploy scalable data pipelines.
• Apply advanced statistical methods and machine learning techniques for data assessment.
• Architect and support build of AI-driven retrieval-augmented generation (RAG), prompt engineering, and knowledge graph projects.
• Collaborate to produce AI-powered dashboards and insights.

• Bachelor s degree in Computer Science, Information Systems, Engineering, Mathematics, or related discipline.
• 6+ years of experience in AI and data analytics.
• Proficient in R, Python, and AI/ML frameworks (e.g., Tensor Flow, PyTorch).
• Practical experience with Generative AI models (including LLMs) and Agentic AI frameworks (e.g., Lang Chain, CrewAI).
• Experience building autonomous agents that use LLMs to perceive, decide, and act independently.
• Experience with APIs to platforms like Twilio, Google Cloud, etc.
• Proficient in SQL and relational databases (e.g., Oracle, Postgre
  
  SQL, MySQL).
• Experience with RAG pipelines, vector databases, and knowledge graphs.
• Skilled in visualization tools and interactive dashboards.
• Hands-on experience leveraging cloud services (e.g., S3, EC2, RDS, Lambda) to design and implement data processing, storage, and analytics solutions.
• Hands-on experience with Docker.
• Strong communication skills to interact with technical teams and government stakeholders.
• Master s degree.
• Experience integrating AI solutions with SaaS/PaaS platforms (e.g., Service Now, Salesforce, etc.).
• Experience with analytics tools (e.g., Power BI, Tableau, Qlik).
• Experience with Google Gemini.
• Knowledge of federal data governance standards and compliance frameworks.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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