Overview We are looking for seasoned Data Scientist (Generative) to work with our existing team of Data Scientists and Engineers to use Generative AI technology in supporting Federal use cases. We are looking for a more than just a "Data Scientist", but a technologist with excellent communication and customer service skills and a passion for data and problem solving . Contributions Contributions include: Design and train advanced machine learning models, especially generative models like GANs, VAEs, or transformer-based models. Work closely with ML Engineers and Software Developers to transition models from a research and development stage to production. Stay updated with the latest research and trends in AI to implement cutting-edge solutions. Evaluate the performance of foundational models (e.g., GPT, LLaMA, Claude) on domain-specific tasks and fine-tune them using supervised, reinforcement, or instruction tuning methods to align outputs with user needs and business goals. Design and optimize prompts, few-shot examples, and system instructions to improve LLM behavior in constrained environments (e.g., RAG pipelines, multi-agent workflows, decision support systems). Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG). Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality, coherence, safety), define appropriate benchmarks, and use metrics like BLEU, ROUGE, perplexity, and human evaluations. Ability to leverage and integrate various data management tools at scale – cloud experience preferred Support an Agile software development lifecycle You will contribute to the growth of our AI & Data Exploitation Practice!