# Experienced Data Scientist

**Company**: The Boeing Company
**Location**: Hazelwood, MO
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $128,350 - $173,650
**Category**: Data Science
**Industry**: Aerospace & Defence

**Apply**: https://boeing.wd1.myworkdayjobs.com/en-US/EXTERNAL_CAREERS/job/USA---Hazelwood-MO/Experienced-Data-Scientist_JR2026520583-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c6e5af16-d4d

## Description

We are seeking an Experienced Data Scientist for a Proprietary Program in Saint Louis, MO. 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.

**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.

**Requirements:**

- Bachelor of Science degree in Engineering, Engineering 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:**

- Advanced degree (Master's or Doctorate) in Engineering, Engineering 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.

**Benefits:**

- Competitive base pay and variable compensation opportunities.

- Health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs.

- Boeing 401(k) plan with dollar-for-dollar matching up to 10% of eligible pay.

- Student Loan Match program.

**Salary Range:** $128,350 - $173,650

## Skills

### Required
- Python
- Julia
- R
- C
- C++
- C#
- Java
- data science
- machine learning
- artificial intelligence

### Nice to have
- natural language processing
- SQL
- NoSQL Database Languages
- data visualization tools
- PyTorch
- TensorFlow
- generative AI models
- MLOps
- cloud computing

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