Basic Qualifications

•    A Bachelor’s degree from an accredited university in Materials Science and Engineering, Data Science, Computer Science, Mathematics, Statistics, Analytics, or related 
•    Professional data science 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

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.
 

Howmet Engines currently seeks an experienced Data Scientist to support our European locations.  Position will be based out of Evron, France.

This position involves working in a close cross-functional team environment supporting 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.