Aerospace Data Scientist: AI & Analytics (Entry)

Howmet Aerospace; Pittsburgh (Allegheny County); On-site; USD 38,000 - 43,000; Full time

Job summary

Howmet Aerospace Inc. in Pittsburgh, PA, is seeking a Data Scientist to join the Global Information Systems (GIS) organization at the Howmet Corporate Center.

You will develop and deploy AI models, perform data analysis, and collaborate with data engineers, software developers, and business teams to deliver analytics solutions. The role requires a Bachelor's degree in a quantitative field, 0–2 years of experience, and proficiency in Python and SQL.

Qualifications

• Bachelor's degree in a quantitative field.
• 0–2 years of experience in data science, analytics, software development, or related field (internships/co-ops acceptable).
• Working knowledge of Python and SQL.
• Understanding of statistics, probability, ML concepts, and data visualization.
• US work authorization; visa sponsorship not available.

Responsibilities

• Develop and deploy AI models and applications.
• Perform data analysis to identify trends and opportunities.
• Prepare, clean, transform, and validate data from multiple sources.
• Create dashboards and visualizations for stakeholders.
• Support model deployment, testing, and monitoring in production.
• Stay current with trends in data science, ML, and AI; share knowledge.

Skills

Python

SQL

Statistics concepts

Data visualization

Communication

Problem solving

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, or related quantitative discipline

Tools

Scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Jupyter Notebooks

Git

Docker

MLOps concepts

Job description

Howmet Aerospace Inc. in Pittsburgh, PA, is seeking a Data Scientist to join the Global Information Systems (GIS) organization at the Howmet Corporate Center.

You will develop and deploy AI models, perform data analysis, and collaborate with data engineers, software developers, and business teams to deliver analytics solutions. The role requires a Bachelor's degree in a quantitative field, 0–2 years of experience, and proficiency in Python and SQL.