Data Scientist

Howmet Aerospace
Whitehall, NY, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis Big Data Configuration Management Data Files Python (Programming Language) Machine Learning SQL Databases Scripting Git Information Technology Data Analytics
+2 more
Data Management Software Version Control

Job 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., * 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.

Requirements

  • 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., Aerospace and Defense, Algorithms, Analysis Skills, Artificial Intelligence (AI), Best Practices, Casting, Communication Skills, Computer Science, Cross-Functional, Data Collection, Data Management, Data Modeling, Data Science, Data Sets, Git, Machine Learning, Manufacturing, Manufacturing Analysis, Manufacturing/Industrial Processes, Material Science, Mathematics, Mentoring, Organizational Skills, Presentation/Verbal Skills, Process Improvement, Production Machining, Python Programming/Scripting Language, SQL (Structured Query Language), Source Code/Configuration Management (SCM), Statistical Algorithms, Statistics, Team Player, Writing Skills

Benefits & conditions

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.

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