Senior Data Scientist

Boeing • Hazelwood, MO

7d • $162,350 - $219,650 • Onsite

About The Position

The Boeing Company’s Boeing Defense, Space & Security organization is hiring a Senior Data Scientist for a proprietary program in the St. Louis, Missouri area. The role involves designing and leveraging digital data solutions in a distributed data system to maximize production and weapon-system operational effectiveness. The position is expected to be 100% onsite at the Hazelwood, Missouri campus. Domestic travel may be required up to 10% of the time, depending on business needs.

The Senior Data Scientist will provide technical leadership to a team, build data analysis and exploration systems, and implement machine-learning models in collaboration with software engineering teams. The role also involves working with engineering subject matter experts, improving models and algorithms, ensuring data security and compliance, communicating findings to stakeholders, mentoring junior data scientists, and helping establish organizational data-science practices. Candidates must hold an active U.S. Secret Security Clearance and be U.S. citizens. A technical assessment is required during the selection process. Successful candidates must also satisfy the company’s Conflict of Interest assessment process. 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 9 years of professional experience in data science, artificial intelligence, or machine learning.
• Programming experience in one or more of the following: 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.
• Must complete a technical assessment as part of the selection process.
• Must 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 with 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 for data analysis and exploration to identify patterns, trends, and insights that support decision-making.
• Provide technical leadership to a team of data scientists.
• Implement and deploy machine-learning models in collaboration with software engineering teams, integrating them into customer environments.
• Collaborate with subject matter experts to incorporate engineering domain knowledge into data analysis and modeling.
• Continuously evaluate and improve 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 current 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.
• Contribute to data-science best practices and standards within the organization.

Benefits

• Competitive base pay and variable compensation opportunities.
• 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) contributions match eligible employee contributions dollar for dollar, up to 10% of eligible pay, with immediate 100% vesting.
• Student Loan Match: eligible enrolled U.S. employees may have qualified student loan payments counted, along with match-eligible contributions, when determining the company match to their Boeing 401(k) accounts.
• Relocation assistance based on candidate eligibility.

What This Job Offers

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