New

Data Scientist

Howmet
United States, Michigan, Whitehall
Jul 14, 2026
Job Info Job Identification 118442 Job Category Engineering Posting Date 07/13/2026, 08:30 PM Locations One Misco Drive, Whitehall, MI, 49461-1799, US (On-site) Job Schedule Full time 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 , Responsibilities As a data scientist you will be working on a cross-functional team environment supporting Howmet's casting, core, and rings facilities. This position involves: Up to 50% travel to support plants in France, UK and Germany 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 , Qualifications Basic Qualifications: A bachelor's degree from an accredited university in Materials Science and Engineering, Data Science, Computer Science, Mathematics, Statistics, Analytics, or related 2+ years of professional data experience or a graduate data science degree 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. Preferred Qualifications: 2+ years of professional data science experience Manufacturing/industrial plant experience 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.