BASIC QUALIFICATIONS:
A Bachelor's degree from an accredited university in 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
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 Internal Traffic in Arms Regulations (ITAR) which requires U.S. person status.
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.
BASIC QUALIFICATIONS:
A Bachelor's degree from an accredited university in 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
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 Internal Traffic in Arms Regulations (ITAR) which requires U.S. person status.
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 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 position will be located in the Research and Development Center and involves working in a close cross-functional team environment supporting Howmet's casting, core, and rings facilities. This position involves:
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 operational, quality, and engineering problems using big data.
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 with internal customers to drive validation trials, implement process improvements, and integrate predictive models using big data.
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 position will be located in the Research and Development Center and involves working in a close cross-functional team environment supporting Howmet's casting, core, and rings facilities. This position involves:
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 operational, quality, and engineering problems using big data.
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 with internal customers to drive validation trials, implement process improvements, and integrate predictive models using big data.
Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity
Please see job description for required skills.
