Job Overview: The Data Scientist will apply AI such as large language models (LLM’s), machine learning, computer vision, neural networks, etc., to modernize the procurement process in mechanical manufacturing. This individual must have strong relevant computer science knowledge as well as practical computer programming skills.
Responsibilities:
- Work with subject matter experts and product managers to define new features and functions that can be automated with artificial intelligence to assist buyers and manufacturers of mechanical parts and assemblies.
- Design, code, test, and document data science software modules – typically in Python -- as part of a highly-collaborative, distributed R&D team. Typical examples include:
- Natural language interface using LLM chatbot connected to an SQL database
- Using an LLM to get spreadsheet data into an SQL database
- Automated messaging assistant using an LLM
- Automatic interpretation of two-dimensional mechanical drawings
- Neural networks to capture expert knowledge about metal machining and other mechanical fabrication
- Ranking algorithms for finding best manufacturers to make specific parts and assemblies
- Keep abreast of Industry 4.0 and AI/ML trends and look for opportunities to enhance Sustainment products using artificial intelligence.
Qualifications:
- 4+ years of experience in commercial or industrial data science work, including at least one example of a substantial application delivered into production
- Graduate degree or equivalent experience requiring substantial application of data science skills
- Demonstrated ability to design, code, test, and document substantial software modules in Python
- Evidence of creative ability to apply AI such as LLM’s, machine learning, computer vision, neural networks, etc., in innovative ways
- Preferred: mechanical engineering degree or equivalent experience
- Preferred: experience with work breakdown structures and estimating labor required for each task