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BAE Systems

Data Scientist Sr Prin

BAE Systems, Fort Walton Beach, Florida, us, 32549


Job DescriptionBAE Systems Inc is seeking a talented Data Scientist to join our Enterprise Advanced Data Analytics team and contribute to enterprise-level complex business solutions. As a Data Scientist at BAE Systems Inc, you will be at the forefront of developing cutting-edge AI and machine learning enterprise-grade solutions.We are looking for a skilled Data Scientist with 4+ years of professional experience in building and deploying machine learning algorithms, with a focus on AI/ML and large language models. The successful candidate will be responsible for designing, developing, and deploying robust machine learning algorithms to solve complex business problems from supply chain, factory operation, workforce, and logistics. You will work closely with stakeholders to understand business requirements and translate them into actionable solutions.Responsibilities:

Own end-to-end solutions of design, develop, and deploy robust machine-learning algorithms, including large language model.Collaborate with stakeholders to understand business requirements and translate them into actionable solutions.Conduct data discovery and analysis by cleaning, preprocessing, and transforming raw data into usable formats, ensuring data quality and integrity.Produce visualizations and insights with the goal of communication to both technical and non-technical audiences.Develop and train large language models using deep learning techniques, such as transformers and recurrent neural networks.Job Title

Data Scientist Sr PrinMinimum Requirements:

Typically a Bachelor's Degree and 8 years work experience or equivalent experienceRequired Skills and Education:

6+ years of professional experience as a Data Scientist, with a focus on generative AI and machine learning.Strong understanding of large language models (LLMs) and their applications in AI.Experience with Agent + RAG system and its application in data science and AI.Proficiency in Python/R programming languages and popular machine learning libraries such as langchain, scikit-learn, TensorFlow, and PyTorch.Experience with data visualization tools such as Tableau, Power BI, and others.Familiarity with cloud-based services and solutions such as AWS, Azure, and Dataiku.Preferred Skills and Education:

Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.Experience working with large datasets and high-performance computing environments.Strong understanding of data modeling, statistical inference, and machine learning techniques.Excellent communication and presentation skills.Experience with Docker and containerization.Familiarity with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines.Experience with cloud-based data warehousing and big data processing (e.g., AWS Glue, Apache Spark).About BAE Systems, Inc.

BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services.Our Commitment to Diversity, Equity, and Inclusion:

At BAE Systems, we work hard every day to nurture an inclusive culture where employees are valued and feel like they belong. We provide impactful professional development experiences to our employees and invest in social impact partnerships to uplift communities and drive purposeful change.EEO Career Site

Equal Opportunity Employer. Minorities, females, veterans, individuals with disabilities, sexual orientation, gender identity, gender expression.Department

907_ANLT_Business AnalyticsCompany

123_BAE Systems Shared Svcs IncPosting Requirements

Internal/ExternalJob Category

Engineering & TechnologyRecruiter

Kathleen KirwinU.S. Person Required

YesBusiness Area

Center of ExpertisePhysical location of the job

Remote Work ConsideredSalary Range

Max: 176130, Min: 103590Union Job

None

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