About Howmet Aerospace
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 $6.6 billion in revenue in 2023, 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 2023 Environmental Social and Governance report at www.howmet.com/esg-report .
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Howmet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and 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:
A MS or PhD degree from an accredited university in Data Science, Computer Science, Computer Engineering, Mathematics, Statistics, Analytics, or related.
5 years of professional data science or machine learning experience.
Manufacturing / industrial plant experience.
Demonstrated success applying advanced statistical methods and machine learning algorithms to production/field data using Python or R.
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 is subject to the International Traffic in Arms Regulations (ITAR) which requires U.S. person status.
ITAR defines U.S. person as an U.S. Citizen, U.S. Permanent Resident (i.e., 'Green Card Holder'), Political Asylee, or Refugee.
PREFERRED QUALIFICATIONS:
Experience in applying advanced data and statistical analysis methods to industrial manufacturing data.
Visualization tools: Power BI, Tableau
Engineering data tools: SQL, SAS, Minitab, JMP, MS Excel, Six Sigma
In depth knowledge of advanced analytic and machine learning techniques.
Strong verbal and written communication skills. Excellent analytical skills.
Ability to work in a self-directed AND cross-functional team environment.
Strong organizational skills.
BASIC QUALIFICATIONS:
A MS or PhD degree from an accredited university in Data Science, Computer Science, Computer Engineering, Mathematics, Statistics, Analytics, or related.
5 years of professional data science or machine learning experience.
Manufacturing / industrial plant experience.
Demonstrated success applying advanced statistical methods and machine learning algorithms to production/field data using Python or R.
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 is subject to the International Traffic in Arms Regulations (ITAR) which requires U.S. person status.
ITAR defines U.S. person as an U.S. Citizen, U.S. Permanent Resident (i.e., 'Green Card Holder'), Political Asylee, or Refugee.
PREFERRED QUALIFICATIONS:
Experience in applying advanced data and statistical analysis methods to industrial manufacturing data.
Visualization tools: Power BI, Tableau
Engineering data tools: SQL, SAS, Minitab, JMP, MS Excel, Six Sigma
In depth knowledge of advanced analytic and machine learning techniques.
Strong verbal and written communication skills. Excellent analytical skills.
Ability to work in a self-directed AND cross-functional team environment.
Strong organizational skills.
Howmet Aerospace, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company's primary businesses focus on jet engine components, aerospace fastening systems and titanium structural parts necessary for mission-critical performance and efficiency in aerospace and defense applications, as well as forged wheels for commercial transportation. Howmet Aerospace is transforming the next phase of more fuel-efficient, quieter aerospace engines and sustainable ground transportation. For more information, visit www.howmet.com . Follow @howmet: Twitter , Instagram , Facebook , LinkedIn and YouTube .
This Machine Learning - Principal Engineer position will be located in our Howmet Research Center and involve working in a close cross-functional team environment supporting Howmet's casting, core, and rings facilities. This position involves:
Evaluating, developing and testing Artificial Intelligence / Machine Learning applications and solutions.
Developing and optimizing machine learning algorithms for Howmet products across all businesses.
Constructing and manipulating large datasets using tools such as SAS, SQL, Python, R, Minitab, Power BI and more, to extract multi-factor and complex interactions and drive change.
Solving operational, quality, and engineering problems using big data and image sets.
Identifying opportunities and deploying tools to drive continuous improvement through data analytics.
Driving a data-driven culture across the organization through expanding applications and training.
Interacting...
Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity
Please see job description for required skills.
