Data Scientist
Fa Exty Saasfaprod1 Open At a glance
Mid-level Data Science role at Fa Exty Saasfaprod1. Whitehall · full-time · no salary stated · we estimate $116,263–$174,915 across the United States.
Fa Exty Saasfaprod1 has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Work with engineers to pinpoint operational challenges and shape machine-learning or statistical approaches
- Develop algorithms for products across business units and use statistical analysis to improve manufacturing processes
- Prepare and examine large datasets with Python and SQL to support data science work
- Coordinate with internal customers and IT to verify trials, apply process improvements and incorporate models into production
- Share analytical conclusions with nontechnical audiences and coach data scientists on stronger methods
What you bring
- A master's or doctoral degree in a listed engineering, computing, materials or quantitative discipline
- At least five years applying machine learning and advanced statistics to production or field data with Python
- Strong statistical expertise analyzing industrial or manufacturing data, plus solid machine-learning knowledge
- Experience guiding data science work from defining the problem and gathering data through building models
- You must be authorized to work in the United States
Who this fits
This on-site role in Whitehall, Michigan suits someone comfortable working independently and with cross-functional teams, while explaining technical findings clearly. Visa sponsorship is unavailable.
From the employer
Howmet Aerospace is hiring a Data Scientist to join our ML/AI Development Team. This role involves data collection and preprocessing, EDA, machine learning development, model deployment support, and collaborating with cross-functional teams to support our casting, alloy, core, and rings facilities.
This position is located at our Howmet Research Center (HRC) in Whitehall, Michigan.
Primary Responsibilities
• Work closely with engineering teams to understand current challenges, identify opportunities to optimize processes, and design solutions using machine learning and statistical tools.
• Build and refine machine learning algorithms to enhance Howmet products across all business units.
• Conduct statistical analyses to uncover complex relationships and improve manufacturing processes.
• Construct, manipulate, and analyze large datasets using tools such as Python and SQL.
• Collaborate with internal customers and IT teams to validate trials, implement process enhancements, and integrate machine learning into production workflows.
• Present data-derived conclusions to a non-technical audience.
• Provide mentorship to data scientists across the organization, helping them build their analytical skills, develop robust solutions, and adopt best practices.
Basic Qualifications:
• MS or PhD degree from an accredited university in Engineering, Data Science, Computer Science, Machine Learning, Materials Science, Mathematics, Statistics, or Analytics.
• Minimum of 5 years of hands-on experience in data science and machine learning, demonstrating ability to apply machine learning algorithms and advanced statistical methods to production/field data using Python.
• Strong knowledge of machine learning and advanced analytics techniques.
• Strong statistical background with demonstrated expertise in analyzing industrial/manufacturing data.
• Basic SQL querying ability.
• Experience managing data science projects from problem definition and data collection through model development.
• Familiarity with manufacturing or industrial plant environments and their unique challenges.
• Strong organizational skills and the ability to work independently and in a cross-functional team environment.
• Exceptional verbal and written communication skills with the ability to convey complex ideas clearly to non-technical audiences.
• 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:
• Intermediate-to-Advanced SQL querying knowledge (window functions, pivots, etc.).
• Experience supporting machine learning model deployment and monitoring.
• Familiarity with Git revision control.
Why Join Us?
• Be at the forefront of innovation, applying machine learning to aerospace manufacturing.
• Collaborate with a supportive, cutting-edge team dedicated to solving challenging real-world problems.
• Access professional growth opportunities and a chance to directly impact Howmet Aerospace’s success.
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