Data Scientist

Howmet; Whitehall Township (MI); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical benefits

401(k) plan with company match

Paid holidays and vacation

Parental leave

Job summary

Howmet Aerospace is seeking a Data Scientist to join our ML/AI Development Team at the Howmet Research Center in Whitehall, Michigan. The role centers on data collection, preprocessing, EDA, model development, and deployment support in collaboration with cross-functional teams.

You will build ML models to enhance manufacturing processes, analyze industrial data with Python and SQL, and mentor fellow data scientists while presenting findings to non-technical audiences.

Qualifications

• MS or PhD in Engineering, Data Science, Computer Science, Machine Learning, Materials Science, Mathematics, Statistics, or Analytics.
• Minimum of 5 years hands‑on experience in data science and machine learning using Python.
• Strong knowledge of machine learning and advanced analytics techniques.
• Strong statistical background with manufacturing data experience.
• Basic SQL querying ability.
• Experience managing data science projects from problem definition to deployment.
• Familiarity with manufacturing environments and cross‑functional work.
• Excellent communication and ability to convey complex ideas to non‑technical audiences.
• U.S. work authorization; visa sponsorship not available.

Responsibilities

• Collaborate with engineering teams to understand challenges and design ML solutions.
• Build and refine ML algorithms to improve Howmet products.
• Conduct statistical analyses to improve manufacturing processes.
• Analyze large datasets using Python and SQL.
• Integrate ML into production workflows with IT teams.
• Present data-derived conclusions to non-technical audiences.
• Mentor data scientists across the organization.

Skills

Python

Machine Learning

Statistics

SQL

Data Visualization

Project Leadership

Communication

Education

MS/PhD in Engineering/CS/ML/Data Science

Tools

Git

Job description

Job Information

Job Identification: 119726

Job Category: Engineering

Export-Controlled Data: This position entails access to export-controlled items and employment offers are conditioned upon an applicant's ability to lawfully obtain access to such items

Location: One Misco Drive, Whitehall, MI, 49461-1799, US (On-site)

Job Schedule: Full time

Responsibilities

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.

Qualifications

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.

About Us

Compensation and Benefits:

If a pay range is identified for this job, it is based on a good faith estimate at the time of this posting. Actual compensation is subject to variation due to factors such as education, experience, skillset, market/business considerations, and/or location.

Howmet Aerospace offers a competitive benefits package to support the health, financial well‑being, and professional growth of our employees. Benefits include:

• Comprehensive medical, prescription, dental, and vision benefits coverage, including FSA and HSA account options
• Pre‑tax and Roth 401(k) retirement savings plans offering employer matching funds and a separate employer retirement contribution
• Paid holidays and vacation time (eligibility, accrual, and usage are discretionary and governed by applicable policies)
• Paid parental leave and adoption assistance programs
• Life insurance and disability coverage plans
• Optional coverage plans for auto, home, legal, identity theft, and pet insurance
• Tuition Assistance Program and ongoing professional development opportunities
• Employee Assistance Program (EAP)

Our Story:

Howmet Aerospace Inc. (NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. Our primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. With $8.3 Billion in revenue in 2025, our products play a crucial role in enabling fuel efficiency and lightweighting, contributing to our customers' success and making a positive impact on the world. To learn more about the way Howmet Aerospace Inc. is advancing the sustainability of our customers, markets, and communities where we operate, review the 2025 Environmental Social and Governance report at www.howmet.com/esg-report. Follow: LinkedIn, Twitter, Instagram, Facebook, and YouTube.

Equal Opportunity Employer:

Howmet is proud to be an Equal Employment Opportunity employer. We are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other applicable legally protected characteristics.

If you need assistance to complete your application due to a disability, please email: [e-mail]

About the Team

The Howmet engines business produces world-class aerospace engine components, including investment castings, fasteners, rings and forgings. Our vacuum melted superalloys, machining, performance coatings and hot isostatic pressing for high performance parts enable the next generation of quieter, cleaner and more fuel-efficient aerospace engines. Able to supply more than 90% of structural and rotating aerospace engine components.