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 $7.4 Billion in revenue in 2024, 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 2024 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 [email protected] Qualifications:
Master's degree from an accredited institution in Data Science is required.
Three (3) or more years of professional data science experience
Demonstrated success applying advanced statistical methods and/or 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 entails access to export-controlled items and employment offers are conditioned upon an applicant's ability to lawfully obtain access to such items
Preferred Qualifications:
Manufacturing / industrial plant experience is preferred
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 analytics 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, Engines currently seeks a Data Scientist to join our team at our Howmet Research Center! The position is located in Whitehall, Michigan and involves working in a close team environment performing a combination of development and support for Howmet's casting, core, and rings facilities.
Primary Responsibilities:
Constructing and manipulating large datasets using tools like SAS, SQL, Python, R, MiniTab, PowerBI, and more to extract multi-factor interactions and drive change.
Solving manufacturing, quality, and engineering problems using data analytics and science tools.
Identifying opportunities and deploying tools to drive continuous improvement through data analytics and science
Driving a data-driven culture across the organization through expanding applications and training.
Interacting with internal customers to drive validation trials, implement process improvements, and integrate predictive models using big data.
Equal Opportunity Employer
Please see job description for required skills.
