Experienced Data Scientist

Boeing • Hazelwood, MO

7d • $128,350 - $173,650 • Onsite

About The Position

The Boeing Company’s Boeing Defense, Space & Security organization is hiring an Experienced Data Scientist for a proprietary program in the St. Louis, Missouri area. The role focuses on designing and leveraging digital data solutions in distributed data systems to maximize production and weapon-system operational effectiveness. The position is 100% onsite, with work required at the St. Louis/Hazelwood campus. Domestic travel may be required up to 10% of the time, depending on business needs. An active U.S. Secret Security Clearance is required; U.S. citizenship is also required. Candidates must complete a technical assessment as part of the selection process and satisfy the Company’s Conflict of Interest assessment process.

The Data Scientist works with cross-functional teams and subject matter experts to establish data requirements and quality standards, analyze data, develop and deploy machine learning models, and communicate findings to stakeholders. The role also includes improving models and algorithms, ensuring data security and compliance, keeping current with developments in data science and aerospace, and mentoring junior data scientists.

This is a Shift 1 position. The stated summary pay range is $128,350–$173,650. Relocation may be offered subject to candidate eligibility. Boeing will not sponsor applicants for employment visa status.

Requirements

• Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry, or non-U.S. equivalent qualifications directly related to the work statement.
• At least 5 years of professional experience in data science, artificial intelligence, or machine learning.
• Programming experience in one or more of Python, Julia, R, C, C++, C#, or Java.
• Experience leading technical teams or projects.
• Active U.S. Secret Security Clearance; U.S. citizenship is required. A clearance active within the past 24 months is considered active.
• Complete a technical assessment as part of the selection process.
• Satisfy the Company’s Conflict of Interest assessment process.

Nice To Haves

• Advanced degree (Master’s or Doctorate) in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry, or non-U.S. equivalent qualifications directly related to the work statement.
• At least 3 years of experience in natural language processing.
• At least 3 years of experience in SQL or NoSQL database languages.
• Proficiency with data visualization tools.
• Proficiency with deep learning frameworks such as PyTorch and TensorFlow.
• Experience with generative AI models, including LLMs, for building knowledge-driven solutions.
• Experience integrating models into customer environments, both on-premises and in cloud environments.
• Experience working in an agile software development team.
• Experience with MLOps and MLOps tool stacks such as ClearML or MLflow.
• Experience working in cloud computing environments such as Azure and AWS.

Responsibilities

• Collaborate with cross-functional teams to identify and define data requirements, data collection methods, and data quality standards.
• Build systems that enable data analysis and exploration to identify patterns, trends, and insights that support decision-making.
• Implement and deploy machine learning models, working with software engineering teams to integrate them into customer environments.
• Collaborate with subject matter experts to understand engineering domain knowledge and incorporate it into data analysis and modeling.
• Evaluate and improve existing models and algorithms to enhance accuracy, efficiency, and scalability.
• Ensure data security, privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle.
• Stay up to date with advancements in data science, machine learning, and aerospace technologies.
• Communicate findings, insights, and recommendations to technical and non-technical stakeholders through reports, presentations, and visualizations.
• Mentor and guide junior data scientists.

Benefits

• Eligible employees may enroll in benefit programs generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance, and paid and unpaid time away from work.
• Boeing 401(k) plan with dollar-for-dollar matching contributions up to 10% of eligible pay and immediate 100% vesting.
• Student Loan Match program for eligible enrolled U.S. employees.
• Competitive base pay and variable compensation opportunities.
• Relocation assistance based on candidate eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level