Experienced Data Scientist

Boeing; Hazelwood (MO); On-site; USD 128,000 - 174,000; Full time

Job summary

The Boeing Company in Saint Louis, MO is seeking an Experienced Data Scientist for a Proprietary Program. The role emphasizes designing and deploying data science solutions to maximize production and weapon system effectiveness, with 100% onsite work at the St Louis campus and travel up to 10% as needed.

As a lead/experienced data scientist, you will mentor junior scientists, collaborate with cross-functional teams, and implement ML models while ensuring security, privacy, and regulatory

Qualifications

• Bachelor’s degree in Engineering/CS/Mathematics or related field, 5+ years in data science, AI or ML.
• Programming in Python, Julia, R, C, C++, C#, or Java.
• Experience leading technical teams or projects.

Responsibilities

• Collaborate with cross-functional teams to define data requirements and data quality standards.
• Build systems for data analysis to identify patterns and insights guiding decisions.
• Implement and deploy ML models; collaborate with software engineers to integrate into customer environments.
• Mentor junior data scientists and communicate findings to stakeholders.
• Stay updated with data science and aerospace tech advancements.

Skills

Python

R

C++

Java

Education

Bachelor's degree

Tools

PyTorch

TensorFlow

MLFlow

ClearML

Job description

Experienced Data Scientist Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring an Experienced Data Scientist for a Proprietary Program in Saint Louis, MO. We seek passionate, curious, and talented data scientists who want their job to have real-world impacts by solving complex, challenging, and meaningful data science problems.

As an experienced/lead data scientist, you will play a crucial role in designing and leveraging digital data solutions in a distributed data system to maximize production and weapon system operational effectiveness. This position is onsite. The selected candidate will be required to perform work onsite at St Louis campus.

Position Responsibilities:

• Collaborate with cross-functional teams to identify and define data requirements, data collection methods, and data quality standards.
• Build systems that enable conducting data analysis and exploration to identify patterns, trends, and insights that drive decision-making
• Implement and deploy machine learning models, working closely with software engineering teams to integrate into customer environments.
• Collaborate with subject matter experts to understand engineering domain knowledge and incorporate it into data analysis and modeling efforts.
• Continuously evaluate and improve existing models and algorithms to enhance their 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 the latest advancements in data science, machine learning, and aerospace technologies to drive innovation and maintain a competitive edge.
• Communicate findings, insights, and recommendations to technical and non-technical stakeholders through clear and concise reports, presentations, and visualizations.
• Mentor and provide guidance to junior data scientists.

This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Hazelwood, MO. Travel may be required up to 10% of the time; Domestically depending on business needs.

This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active).

To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.

Basic Qualifications (Required Skills/Experience):

• Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 5+ 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#, Java.
• Experience leading technical teams or projects

Preferred Qualifications (Desired Skills/Experience):

• Advanced degree (Master's or Doctorate) in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 3+ years of experience in natural language processing
• 3+ years of experience in SQL or NoSQL Database Languages
• Proficient with data visualization tools
• Proficient in 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-prem and in cloud environments
• Experience working in an agile software development team
• Experience with MLOps and MLOps tool stack such as ClearML or MLFlow
• Experience working in cloud computing environments such as Azure and AWS

Conflict of Interest: Successful candidates 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:

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. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Summary pay range: $128,350 - $173,650

Language Requirements: Not Applicable

Education: Bachelor's Degree or Equivalent

Relocation: This position offers relocation based on candidate eligibility.

Export Control Requirement: Safety Sensitive: Security Clearance: This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)

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)

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. EEO is the law

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Boeing is committed to protecting, connecting and exploring our world and beyond, safely and sustainably. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment that’s welcoming, respectful and inclusive of every teammate, with great opportunity for professional growth. Find your future with us.