Experienced Data Scientist

Posted 4 Days Ago
Be an Early Applicant
Hazelwood, MO
In-Office
114K-154K Annually
Senior level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
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The Role
The Experienced Data Scientist at Boeing will analyze data, implement machine learning models, collaborate with teams, ensure data compliance, and mentor junior scientists.
Summary Generated by Built In
Job Description
At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
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 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)
Basic Qualifications (Required Skills/Experience):
  • Bachelor's degree from an accredited course of study in Mathematics, Data Science, Computer Science, Engineering, Physics or similar discipline
  • 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 Data Science, Applied Statistics, Computer Science, Mathematics, or another similar technical background
  • 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

Typical Education & Experience:
Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard.
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.
Work Shift:
This position will be for first shift.
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: $113,900 - $154,100
Applications for this position will be accepted until Feb. 17, 2026
Export Control Requirements:
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.
Export Control Details:
US based job, US Person required
Education
Bachelor's Degree or Equivalent Required
Relocation
This position offers relocation based on candidate eligibility.
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.
Shift
This position is for 1st shift
Equal Opportunity Employer:
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.

Top Skills

AWS
Azure
C
C#
C++
Java
Julia
NoSQL
Python
PyTorch
R
SQL
TensorFlow

What the Team is Saying

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The Company
HQ: Arlington, VA
170,000 Employees
Year Founded: 1916

What We Do

A leading global aerospace company and top U.S. exporter, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. Our U.S. and global workforce and supplier base drive innovation, economic opportunity, sustainability and community impact. Boeing is committed to fostering a culture based on our core values of safety, quality and integrity.

Why Work With Us

Aerospace protects and connects people, enables economic growth and trade, provides humanitarian relief and allows for human exploration of space. Boeing collaborates globally to support responsible growth for our industry, and we invest in innovation that improves the efficiency and sustainability of air travel and our operations.

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