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Data ScientistHowmet Corporation • Wichita Falls, Texas, United States
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Data Scientist

Howmet Corporation
  • US
    Wichita Falls, Texas, United States
  • US
    Wichita Falls, Texas, United States
Postuler Maintenant

À propos

Job Info Job Identification 118207
Job Category Engineering
Posting Date 07/02/2026, 02:36 PM
Locations
PO Box 1616, 6200 Central Frwy, Wichita Falls, TX, 76307-1616, 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 JOB SUMMARY: The Data Scientist positions will be located in the Howmet Wichita Falls facility and working in a close cross-functional team environment. Job Roles
Systems thinker--sees the business and its operation holistically; understands actions and reactions; considers multiple pathways of potential effect before decisions; thinks strategically about interventions with an eye toward scale Optimizer--constantly challenging the organization to work smarter; supports others to ensure they have what they need to do their work successfully Anticipation--looks ahead to minimize potential issues and maximize advantages; prepares others for what comes next Operational accelerator--drives continuous improvement; understands ramifications of automation and other advances; advocates for safety, ergonomics and scalable solutions Organization and structure--works within existing structures while striving to improve and standardize them; provides accurate information; galvanizes others toward common goals Influence--leverages knowledge, relationship, data and perspective to persuade, educate and navigate; gains buy in and adoption of ideas and practices at scale; interacts with a variety of stakeholders Data informed--focused on things that drive quantifiable business outcomes; evaluates based on quantitative feedback; knows and explains the "why" behind actions Prioritized reaction--handles the unexpected without losing sight of important objectives; reacts where greatest leverage points exist Relationship--connects individually and with teams across shifts and practices; builds rapport and commonality; creates a "win together" ethic; serves as liaison between shop floor and engineering; keeps the pulse of the floor; helps people feel heard
JOB RESPONSIBILITIES:
Focus with ability to facilitate engineering projects that improve manufacturing processes. Understand technical inputs of manufacturing process leveraging ADIA and Pi data to derive machine learning solutions.
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.
Interact with internal customers to drive validation trials, implement process improvements, and integrate predictive models using big data.
, Qualifications BASIC 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.
PREFERRED REQUIREMENTS: * 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.
, About Us 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 $8.3 Billion in revenue in 2025, 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 2025 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 TalentAcquisitionCoE_Howmet@howmet.com , About the Team
The Howmet engines business produces world-class aerospace engine components, including investment castings, fasteners, rings and forgings. Our vacuum melted superalloys, machining, performance coatings and hot isostatic pressing for high performance parts enable the next generation of quieter, cleaner and more fuel-efficient aerospace engines. Able to supply more than 90% of structural and rotating aerospace engine components.
  • Wichita Falls, Texas, United States

Compétences linguistiques

  • English
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