Mid-Level Data Scientist

. Apply advanced statistical techniques and predictive modeling to develop predictive maintenance strategies and optimize aircraft performance.

Posted 5/9/2026full-timeOklahoma City • Montana, Oklahoma, Pennsylvania, Texas • 🇺🇸 United StatesJuniorMid-Level💰 $95,200 - $147,200 per yearWebsite

Tools & technologies

PythonPyTorchSQLTableauTensorflow

Key responsibilities & impact

Apply advanced statistical techniques and predictive modeling to develop predictive maintenance strategies and optimize aircraft performance.
Utilize natural language processing, data cleansing, and preprocessing techniques to ensure data quality and integrity for accurate analysis and modeling.
Apply modern RAG techniques to generate domain-specific insights from complex customer data, enhancing decision-making and user experience.
Collaborate with cross-functional teams to identify and define data requirements.
Implement and deploy machine learning models into production systems, 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.
Ensure data security and compliance with relevant regulations throughout the data analysis lifecycle.
Communicate findings, insights, and recommendations to technical and non-technical stakeholders through clear and concise reports, presentations, and visualizations.

What you’ll need

Bachelor of Science degree in Engineering, Engineering Technology, Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications
2+ years of professional experience in data science, artificial intelligence, or machine learning
2+ years of experience in Python for data science applications
Advanced degree (Master's or Doctorate) in Data Science, Engineering, Computer Science, Mathematics, or another similar technical background (preferred)
5+ years of related work experience or an equivalent combination of education and experience (preferred)
2+ years of experience in natural language processing (preferred)
2+ years of experience in SQL (preferred)
Proficient with data visualization tools, such as Tableau (preferred)
Proficient in deep learning frameworks such as PyTorch and TensorFlow (preferred)
Experience with generative AI models, including LLMs and RAG, for building knowledge-driven solutions (preferred)
Engineering domain knowledge relating to aircraft maintenance, design, or testing (preferred)
Experience working in an agile software development team (preferred)

Comp & perks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

statistical techniquespredictive modelingdata cleansingnatural language processingmachine learningPythonSQLdeep learninggenerative AIRAG techniques

Soft Skills

collaborationcommunicationproblem-solvingdata analysisdecision-making

Certifications

Bachelor of Science degreeMaster's degreeDoctorate degree