Lead Data Scientist

Lead Data ScientistThe Boeing Company Boeing Defense, Space & Security (BDS) has an exciting opportunity for a Lead Data Scientist - GenAI to join our team located in Multiple Locations!We are seeking a visionary and technically accomplished Principal Data Scientist specializing in Generative AI (GenAI) to lead the development, deployment, and optimization of state-of-the-art GenAI models across BDS. This role requires deep expertise in machine learning and large language models (LLMs), a strong understanding of foundational model architectures, and a track record of delivering scalable AI solutions in real-world settings. You will collaborate cross-functionally with engineering, product, data, and domain teams to drive innovation and shape the future of AI-driven applications in our organization.Successful candidates will have:Experience developing and deploying GenAI solutions in regulated industries (e.g., defense, healthcare, finance).Familiarity with GPU compute infrastructure and distributed model training.Contributions to open-source GenAI projects or research publications.Experience with vector databases (e.g., Weaviate, Pinecone) and scalable RAG/GraphRAG systems.Experience with container technologies (e.g., Docker, Kubernetes).Why Join Us:Shape the direction of generative AI in a mission-critical organization.Collaborate with a world-class team of engineers, scientists, and domain experts.Access to cutting-edge infrastructure, models, and research partnerships.Competitive compensation and leadership opportunities in the AI domain.Position Responsibilities:Lead the development and deployment of cutting-edge GenAI models including LLMs, diffusion models, Agentic models and multi-modal systems (text, vision, speech).Design and implement pipelines for model fine-tuning, RAG (Retrieval-Augmented Generation), and reinforcement learning from human feedback (RLHF).Develop and evaluate prompt engineering strategies, embedding techniques, and knowledge injection into foundation models.Prototype and productionize GenAI applications that solve complex business problems (e.g., document summarization, code generation, content creation, semantic search).Own model performance evaluation and bias/fairness assessments to ensure reliability and ethical deployment.Collaborate with MLOps and software engineering teams to scale model inference, monitor drift, and automate retraining.Provide thought leadership on GenAI strategy, toolchains (e.g., LangChain, Hugging Face, OpenAI, Anthropic, etc.), and industry trends.Mentor junior data scientists and contribute to the development of a high-performing AI team.Author technical papers, patents, and internal best practices on GenAI development and governanceThis position is hybrid. The selected candidate will be required to perform some work onsite at one of the listed location options. This is at the hiring team's discretion and could potentially change in the future.The position must meet Export Control compliance requirements, therefore a "U.S. Person" as defined by 22 C.F.R. § 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee.Basic Qualifications (Required Skills/Experience):Bachelor's degree in Computer Science, Machine Learning, Applied Mathematics, Computer Engineering, Software Engineering, Artificial Intelligence, Physics or a closely related field.8+ years of experience in data science or machine learning8+ years of experience in deep learning frameworks2+ years of experience focused on GenAI/LLM applications1+ year of experience fine-tuning open-source LLMs and integrating APIs from commercial providers.8+ years of experience programming in Python, and experience with data engineering workflows (e.g., Spark, Airflow, SQL]Preferred Qualifications (Desired Skills/Experience):Master's degree or PhD in Computer Science, Machine Learning, Applied Mathematics, Computer Engineering, Software Engineering, Artificial Intelligence, Physics or a closely related fieldExperience developing and deploying GenAI solutions in regulated industries.Experience with GPU compute infrastructure and distributed model training.Experience with container technologies (e.g., Docker, Kubernetes)Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.This position is for 1st shiftAt Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Pay is based upon candidate experience and qualifications, as well as market and business considerations.Summary pay range: USD 154,700 – 224,250Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.