Stateside Spec Engineering jobs in the United States

Howmet Aerospace

Data Scientist

Whitehall, MI · On-site · Senior

Discipline
Software
Industry
Aerospace
Constraints
U.S. person required

Spec sheet

Automatically summarized from the employer’s posting. Check the original description below for full requirements.

Data Scientist at Howmet Aerospace in Whitehall, MI works on ML/AI development for casting and manufacturing processes. The role requires 5+ years of data science experience with Python and SQL, MS/PhD, and ability to deploy models and communicate results to non-technical audiences.

5+ years · MS or PhD in Engineering, Data Science, CS, ML, Materials Science, Mathematics, Statistics, or Analytics

Required

  • Python
  • SQL
  • machine learning
  • statistical analysis
  • data science projects
  • manufacturing/industrial data
  • ability to work cross-functionally
  • communication skills

Preferred

  • Advanced SQL (window functions, pivots)
  • model deployment and monitoring
  • Git experience

Benefits

  • medical
  • 401k
  • PTO

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Employer description

Howmet Aerospace is hiring a Data Scientist to join our ML/AI Development Team. This role involves data collection and preprocessing, EDA, machine learning development, model deployment support, and collaborating with cross-functional teams to support our casting, alloy, core, and rings facilities.

This position is located at our Howmet Research Center (HRC) in Whitehall, Michigan.

Primary Responsibilities
• Work closely with engineering teams to understand current challenges, identify opportunities to optimize processes, and design solutions using machine learning and statistical tools.
• Build and refine machine learning algorithms to enhance Howmet products across all business units.
• Conduct statistical analyses to uncover complex relationships and improve manufacturing processes.
• Construct, manipulate, and analyze large datasets using tools such as Python and SQL.
• Collaborate with internal customers and IT teams to validate trials, implement process enhancements, and integrate machine learning into production workflows.
• Present data-derived conclusions to a non-technical audience.
• Provide mentorship to data scientists across the organization, helping them build their analytical skills, develop robust solutions, and adopt best practices.

Basic Qualifications:
• MS or PhD degree from an accredited university in Engineering, Data Science, Computer Science, Machine Learning, Materials Science, Mathematics, Statistics, or Analytics.
• Minimum of 5 years of hands-on experience in data science and machine learning, demonstrating ability to apply machine learning algorithms and advanced statistical methods to production/field data using Python.
• Strong knowledge of machine learning and advanced analytics techniques.
• Strong statistical background with demonstrated expertise in analyzing industrial/manufacturing data.
• Basic SQL querying ability.
• Experience managing data science projects from problem definition and data collection through model development.
• Familiarity with manufacturing or industrial plant environments and their unique challenges.
• Strong organizational skills and the ability to work independently and in a cross-functional team environment.
• Exceptional verbal and written communication skills with the ability to convey complex ideas clearly to non-technical audiences.
• Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.

Preferred Qualifications:
• Intermediate-to-Advanced SQL querying knowledge (window functions, pivots, etc.).
• Experience supporting machine learning model deployment and monitoring.
• Familiarity with Git revision control.

Why Join Us?
• Be at the forefront of innovation, applying machine learning to aerospace manufacturing.
• Collaborate with a supportive, cutting-edge team dedicated to solving challenging real-world problems.
• Access professional growth opportunities and a chance to directly impact Howmet Aerospace’s success.

Stateside Spec lists roles for engineering teams in the United States. Work-authorization notes come from the employer. We do not guarantee visa policy. Apply off-site. Report an issue with this listing View employer source