Data Scientist

Data Scientist

Company:

The Boeing Company

Boeing Commercial Airplanes (BCA) is seeking an Experienced Data Scientist to work in the Production AI & Digital Strategy team within the Manufacturing & Safety organization based in Everett, Washington on First Shift.

This role requires a highly skilled individual contributor who will lead and facilitate the development, integration, and execution of strategic business programs, plans and projects supporting AI-driven production initiatives. You will be instrumental in leading cross-functional projects to determine, define and deploy complex predictive/prescriptive analytic solutions using Artificial Intelligence and other methods and tools to meet business objectives.

Position Responsibilities: 

• Make use of and apply job practices, techniques, standards, principles, theories, and concepts

• Provide solutions to a variety of technical problems of moderate scope and complexity.

• Work under general supervision, special assignments. makes sound technical judgment and overall adequacy

• Contribute to the completion of specific project milestones

• Interact primarily with internal personnel and infrequently with inter-organizational and external customers on routine matters

• Evaluate business objectives to determine stakeholder needs.

• Choose best fit methods, defines algorithms, validates and deploys models to achieve business results.

• Perform necessary data preparation and enhancements to models.

Basic Qualifications (Required Skills / Experience):

• 5+ years of programming experience in Python for data analysis, mathematical modeling, machine learning, and automation

• 5+ years of SQL skills for data extraction, transformation, and analysis across operational and analytical datasets

• Statistics, Data Analysis, and Mathematical Modeling - Experience applying statistical methods, mathematical modeling, and analytical techniques to solve business problems, support decision-making, and identify trends or patterns

• Machine Learning - Experience developing, training, and evaluating predictive models using supervised and unsupervised learning techniques

• Natural Language Processing (NLP) - Experience applying NLP techniques to extract insights from text data, build text-based models, or support language-related business use cases

Preferred Qualifications (Desired Skills/Experience): 

• Cloud Platforms Experience working in cloud environments such as AWS, Azure, or Google Cloud Platform for data storage, processing, and model deployment

• MLOps / Model Deployment Experience deploying machine learning models into production and monitoring model performance over time

• Advanced Statistical Methods Experience with regression, classification, clustering, hypothesis testing, causal inference, or Bayesian methods

• Deep Learning Experience with neural networks or frameworks such as TensorFlow or PyTorch, especially for NLP, computer vision, or complex predictive tasks

• API Development / Integration Experience using APIs to integrate models or automate data workflows

• Project Management / Cross-Functional Collaboration Experience working with business partners, engineers, analysts, and leadership to define problems and deliver solutions

• Communication of Technical Results Ability to translate complex analytical findings into clear recommendations and actionable business insights

• Version Control / Collaboration Experience using GitLab or similar version control tools in a collaborative development environment

• Domain Knowledge Experience working in complex, data-driven environments such as airlines, manufacturing, logistics, or supply chain is preferred

• Data Visualization and Business Communication Experience using tools such as Tableau, Power BI, Dataiku, or similar platforms to communicate insights to technical and non-technical audiences

• Education/experience typically acquired through advanced technical education (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience

Conflict of Interest:

Successful candidate for this job must satisfy the company's Conflict of Interest (COI) assessment process.

Drug Free Workplace: 

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. 

   

Total Rewards: 

At 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:

$137,700- $186,300

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Export Control Requirement:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

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