Lead data scientist

Job Description

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

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. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

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 (i.e., TensorFlow, PyTorch)

Practical experience with Generative AI models (including LLMs) and Agentic AI frameworks (e.g., LangChain, 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, PostgreSQL, 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 Masters degree

Experience integrating AI solutions with SaaS/PaaS platforms (e.g., ServiceNow, 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