Data Scientist

Howmet Aerospace • Wichita Falls, TX

2d • Onsite

About The Position

The Data Scientist positions will be located in the Howmet Wichita Falls facility and working in a close cross-functional team environment. The role involves being a systems thinker, optimizer, anticipator, operational accelerator, and influencer, focusing on driving quantifiable business outcomes through data analytics. The position requires identifying opportunities, deploying tools for continuous improvement, driving a data-driven culture, and interacting with internal customers to implement process improvements and integrate predictive models using big data.

Requirements

• A Bachelor’s degree from an accredited university in an Engineering discipline, Data Science, Computer Science, Mathematics, Statistics, Analytics, or Information Systems.
• 2 years’ experience in manufacturing.
• 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.
• 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.

Nice To Haves

• 5+ years of industrial and/or analytics experience after graduation.
• In depth knowledge of statistical software packages and advanced analytics techniques.
• Proven success manipulating and applying advanced data and statistical analysis methods to manufacturing data.
• Knowledge and experience working in various coding languages, including Python, R, and SQL.
• Strong verbal and written communication skills.
• Excellent analytical skills.
• Ability to work in a self-directed team environment.
• Strong organizational skills.

Responsibilities

• Facilitate engineering projects that improve manufacturing processes.
• Understand technical inputs of manufacturing process leveraging ADIA and Pi data to derive machine learning solutions.
• Identify opportunities and deploy tools to drive continuous improvement through data analytics.
• Drive a data-driven culture across the organization through expanding applications and training.
• Interact with internal customers to drive validation trials, implement process improvements, and integrate predictive models using big data.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level