Operations Research Scientist

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 .

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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 TalentAcquisitionCoE_Howmet@howmet.comBasic Qualifications
• Graduate degree (MS or PhD) with specialization in operations research.
• Demonstrated expertise in ILP/MILP modeling, constraint programming, and solver technologies (Gurobi, CPLEX, OR Tools, Pyomo, PuLP).
• Working knowledge of machine learning, feature engineering, and model evaluation.
• Demonstrated experience in digital twin development and simulation modeling
• 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.
• This position entails access to export controlled items and employment offers are conditioned upon an applicants ability to lawfully obtain access to such items.

Preferred Qualifications
• 5 years of experience in operations research, optimization modeling, or production scheduling.
• Hands on experience implementing optimization models in Python, including data preparation, model construction, and solver integration.
• Ability to independently design, test, and validate new mathematical formulations.
• Experience applying OR techniques to manufacturing, supply chain, or industrial systems.
• Experience developing large scale scheduling models (job shop, flow shop, batching, resource constrained scheduling).
• Familiarity with stochastic optimization, robust optimization, or reinforcement learning for decision making.
• Strong statistical background and experience analyzing industrial/manufacturing data.
• Exceptional communication skills and ability to work both independently and in c...