Data Scientist (Manufacturing) | Hybrid | Up to 50% Travel

About the Role

Join a cross-functional team supporting Howmet’s casting, core, and rings facilities. As a Data Scientist, you’ll use advanced analytics to uncover drivers of manufacturing and quality performance, build predictive capabilities, and help teams turn insights into measurable improvements.

Responsibilities

• Build, clean, and analyze large datasets to identify multi-factor interactions
• Use tools such as SAS, SQL, Python, R, Minitab, and Power BI to support data-driven decision-making
• Apply data science methods to address manufacturing, quality, and engineering challenges
• Develop and deploy analytics tools that enable continuous improvement
• Promote a data-driven culture through expanding use cases and training others
• Partner with internal customers to run validation trials, implement process improvements, and integrate predictive models
• Travel up to 50% to support plants in France, the UK, and Germany

Requirements

• Strong experience with SQL and at least one of Python or R
• Proficiency with analytical and visualization tools (e.g., SAS, Minitab, Power BI)
• Demonstrated ability to solve real-world manufacturing or engineering problems with data
• Comfort collaborating across teams and presenting results to technical and non-technical stakeholders

Benefits

• Opportunity to work on high-impact manufacturing and quality analytics projects
• Cross-functional collaboration and professional growth through training and mentorship
• Travel opportunities to support international plant operations (up to 50%)