Data Scientist (Data Science)

Boeing•Arlington, VA

21h•Hybrid

About The Position

Boeing Defense, Space & Security (BDS) has an exciting opportunity for a Mid-Level Data Scientist - GenAI to join our team located in Seattle, WA or Arlington, VA. We are seeking a skilled and innovative Data Scientist to contribute to the development and optimization of advanced AI, Machine Learning (ML), and Generative AI (GenAI) models within BDS. This role offers the opportunity to learn and grow your skills in ML and large language models (LLMs). You will work closely with senior data scientists and cross-functional teams to contribute to AI-driven applications in our organization.

Requirements

Bachelor’s degree in computer science, Machine Learning, Applied Mathematics, Computer Engineering, Software Engineering, Artificial Intelligence, Physics or a closely related field.
3+ years of experience in data science or machine learning.
3+ years of experience in programming in Python and familiarity with data engineering workflows (e.g., Spark, Airflow, SQL).
Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow).
Experience in developing GenAI solutions in regulated industries.
Familiarity with GPU compute infrastructure and distributed model training.
Familiarity with container technologies (e.g., Docker, Kubernetes).
Must meet export control compliance requirements. To meet export control compliance requirements, 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.

Nice To Haves

Master's or PhD in Computer Science, Machine Learning, Applied Mathematics, Computer Engineering, Software Engineering, Artificial Intelligence, Physics or a closely related field
Experience fine-tuning open-source models and integrating APIs from commercial providers.
Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
Experience in AI ethics and governance in generative models.
Experience with data engineering tools (e.g., SQL, Spark

Responsibilities

Contribute to the development and deployment of models.
Design and implement pipelines for model fine-tuning and evaluation.
Develop prompt engineering strategies and embedding techniques to enhance model performance.
Prototype applications that address specific business needs.
Assist in model performance evaluation and bias/fairness assessments.
Collaborate with MLOps and engineering teams to support model scaling and monitoring.
Share knowledge of AI/ML/GenAI tools and trends with the team and contribute to best practices.