Experienced or Senior Data Scientist - Corporate Audit Leadership Development Program (Virtual)

Experienced or Senior Data Scientist - Corporate Audit Leadership Development Program (Virtual)

Company:

The Boeing Company

The Boeing Company has an exciting opportunity for an Experienced or Senior Data Scientist - Corporate Audit Leadership Development Program to support Corporate Audit’s Strategic Business Hubs virtually.

Our Strategic Business Hubs are located across the United States in: Renton, WA; Seattle, WA; Everett, WA; Berkeley, MO; Hazelwood, MO; Ridley Park, PA; North Charleston, SC; Mesa, AZ; and Plano, TX.

Are you ready to embark on an exciting career journey with one of the world's leading aerospace companies?

As an Experienced or Senior Data Scientist, you will be a member of Boeing’s Corporate Audit Data Analytics Team, a national team covering a wide range and scope of audit activities. As a Mid-Level Data Scientist, you will assist Corporate Audit in accomplishing its objectives by bringing a systematic and disciplined approach to evaluate and improve the effectiveness of Boeing’s governance, risk management and internal control environment by providing data and automation support to perform independent evaluations of the adequacy and effectiveness of Boeing’s production, finance, operations, compliance and technology functions.

Why Boeing?

We're not just connecting and protecting; we're exploring new frontiers!

• We shape the future of aerospace. Our team is at the heart of this innovation, contributing to aviation and aerospace products that make a difference in the lives of people around the world

• Our company thrives on intellectual curiosity and fosters an environment that is welcoming, respectful, and inclusive

About The Corporate Audit Leadership Development Program:

• The Corporate Audit Leadership Development Program is designed to give participants exposure across all Boeing business units, an unmatched leadership experience, and opportunities for expanded career growth

• As part of the team, you’ll evaluate complex business issues, obtain ongoing training & development (including an annual in person conference), executive mentorship, and exposure to top leadership

Position Responsibilities:

• Evaluate advanced business analytics problems into technical approaches that yield actionable recommendations and identify trends, patterns, and insights for data-driven decision making

• Design anomaly detection models and continuous monitoring solutions

• Choose best fit methods, define algorithms, validate, and deploy models to achieve business results

• Perform exploratory data analysis, generate and test working hypotheses, and uncover meaningful trends and relationships

• Create production quality Machine Learning (ML)/Artificial Intelligence (AI) models that can be deployed at scale. Make use of Amazon Web Services (AWS) technologies in solution development, recommend and develop new capabilities

• Communicate technical details of solutions, including mathematical formulations, alternatives, and impact on modeling approach to business stakeholders

• Support the identification, development, and automation of risk assessment metrics to support the annual audit plan. Proactively identifying themes, trends, and emerging risks for the company

• Develop and maintain partnerships while working in a cross-functional team of Data Engineers, Product Owners, and Business Intelligence Analysts

• Exercise critical thinking and innovative problem solving

Basic Qualifications (Required Skills/Experience):

• Bachelor's Degree in Data Science, Computer Science, Statistics, Engineering, or a related field from an accredited institution

• 3+ years of experience leading projects with engineers and data professionals, focusing on innovation, quality management, and analytics in natural language processing and machine learning on unstructured data

• Demonstrated problem-solving and communication skills, with the ability to explain complex technical concepts to business stakeholders

• Proven technical understanding of data preparation methods and machine learning algorithms; experienced in the complete data science process from discovery and cleaning to model selection, validation, and deployment

• Experience in developing tools using LLMs, with skills in restructuring, refactoring, and optimizing code for efficiency

Preferred Qualifications (Desired Skills/Experience):

• 5+ years of related work experience or an equivalent combination of education and experience

• Master's Degree from an a