Head of Data Science and Machine Learning

Precision Castparts Corp.; United States; Remote; USD 135,000 - 155,000; Full time

Job summary

Precision Castparts Corp. seeks a Head of Data Science and Machine Learning to lead data innovation across PCC Metals and Forgings Technology. You will develop analytics, build digital twins, and guide AI-driven decisions that connect processing variables to quality outcomes.

The role blends mentorship with hands-on leadership on cross-disciplinary teams. You will shape models, ensure statistical rigor, and advance automation and digitalization efforts in a dynamic manufacturing environment with

Qualifications

• MS/PhD in Materials Science or related engineering is required or preferred.
• 10+ years of experience in data science, ML, and manufacturing contexts.
• Strong background in ML, AI, computational methods and data modeling.

Responsibilities

• Develop and execute data innovation strategy within Metals and Forgings Technology Function.
• Lead data pipelines, data mining, ML/AI, and data modeling plans for projects.
• Drive Industry 4.0 initiatives from pilot to scale-up.
• Mentor automation and modeling engineers; enable linkages between processing variables and quality outcomes.
• Deliver analytics that improve financial and process metrics on the shop floor.

Skills

Scripting automation

Finite element modeling

TensorFlow/PyTorch/Keras

Systems thinking

Communication

Teamwork

Independence

Education

MS/PhD in Materials Science or related engineering

10+ years experience

Tools

Python

MATLAB

R

C

C++

Fortran

Visual Basic

DEFORM

Abaqus

ANSYS

CATIA

AFGROW

ABAQUS

TensorFlow

Job description

Head of Data Science and Machine Learning

Country United States of America

State / County Various Locations

City Various Locations

Division Metals

Company TIMET Division

Function Quality

Workplace Type On-Site

Position type Full Time

Opportunity ID 24545

Job Description

Summary

Reporting to the Quality and Technical group, the purpose of the Head of Data Science and Machine Learning role is to develop and execute the data innovation strategy pillar within the PCC Metals and Forgings Technology Function. The role requires skills in machine learning, artificial intelligence, computational methods, and advanced data modeling as it applies to the manufacturing processes and products. This role will be instrumental in supporting the segment strategy by providing a critical combination of advanced data analytics and statistical approaches, data mining and extraction expertise. This is a key role to set standards, train and otherwise aid in acquisition of these critical skills for the business and thus, to drive the programs that establish links between processing variables and key quality outcomes that underpin business metrics. This position involves working alongside a diverse team of manufacturing technology, product and process engineers and technicians on projects that require the development of digital twins and advanced analytics such as convoluted neural networks, multivariant statistical analysis and artificial intelligence-based pattern recognition tools, ensuring that solutions are implemented at pace from concept to production. The Head of Data Science and AI will be a key member of the mentorship and leadership team responsible for coaching and steering the engineering teams in the overarching PCC Industry 4.0 initiative. At this level, the individual will be expected to be able to work independently and provide clear recommendations to technical staff. This Head of Data Science and AI is expected to both lead and participate in multidisciplinary teams to provide financial return for the PCC Metals and Forgings segment.

Key Responsibilities

• Support the segment strategy by providing data science, machine learning, and digital twin expertise to the linkage between processing variables and key outcomes.
• Develop and execute data innovation strategy within the PCC Metals and Forgings Technology Function.
• Accountability for delivery of select strategic projects that deliver meaningful financial returns to the business is central to the role, including setting the standards around data analytics, statistical approaches, and data mining.
• Co-develop and lead data pipelines, data mining, machine learning, artificial intelligence and/or data modeling plans to support model line projects and data programs.
• Direct Industry 4.0 initiatives from pilot scale demonstrations through scale-up intocapitalprojects.
• Develop and direct automation and digitalization projects to support plant initiatives.
• Image analysis and development of deep learning for streamlining analysis.
• Ensure that all analyses are performed in accordance with good statistical practice and applicable regulatory requirements
• Leverage experience and systems thinking skills to lead and mentor automation and modeling engineers engaged in the Industry 4.0 initiative
• Drive shop floor digitization with a focus on data extraction and related analytics and process modeling to support operations, PCC Metals and Forgings Production Systems, key process control parameters and other CI initiatives

Qualifications

Competencies

• Demonstrable capability to develop/modify programing scripts to automate routine/manual processes including for example Excel, Matlab/Mathcad, python
• Finite element modeling experience and demonstrated application
• Knowledge and practical experience preferred in advanced software such as TensorFlow, PyTorch, Keras
• Demonstrated ability to use systems engineering thinking to solve complex problems
• Demonstrated written and verbal communication capabilities – ability to effectively collaborate with other technical as well as non-technical personnel to move projects forward
• Demonstrated systems thinking skills and competencies
• Ability to work in internal and external teams.
• Highly motivated, independent, attention to detail

Education and Experience

• MS or PhD in Materials Science (preferred) or another closely related engineering discipline
• 10+ years of experience

Special Skills

• Finite element modeling
• DEFORM (preferred), Abaqus, ANSYS, CATIA, AFGROW, ABAQUS
• Programming language
• Python (preferred), MATLAB, R, C, C++, Fortran, and/or Visual Basic
• API / Software (preferred)
• TensorFlow, PyTorch, Keras, NumPy
• Convolutional Neural Networks
• General Software
• Microsoft Word, PowerPoint, Excel

Additional Notes

Job Dimensions

Work Environment –

Remote working is OK for this role. Travel will be expected to PCC Metals plants.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

For informational purposes only, the range of pay for this role is $135,000 to $155,000 US Dollar (USD) Salaried based on a variety of factors. For informational purposes only, this role is eligible to participate in the Company’s Quarterly Cash Bonus Plan, paid out at the quarterly bonus factor of 2.5X the Company’s bonus multiple, based on the Company’s performance in the applicable quarter . Employees will receive 120 hours paid time off every year. Employees will also receive 10 paid holidays. Employees (and their families) are eligible to participate in the company's medical, dental, vision, and basic life insurance. Employees are eligible to enroll in the Company’s 401(k) plan.

This position requires use of information or access to production processes subject to national security controls under U.S. export control laws and regulations (including, but not limited to the International Traffic in Arms Regulations (ITAR) and the Export Administration Regulations (EAR)). To comply with those regulations, this position may require applicants to be U.S. Persons (i.e., U.S. citizens, U.S. lawful permanent residents, protected individuals as defined by 8 U.S.C. 1324b(a)(3)), or eligible to obtain the required export authorizations from the U.S. Department of State or the U.S. Department of Commerce.

Company Profile

With more than 120 operations and approximately 20,000 employees worldwide, Precision Castparts Corp. is the market leader in manufacturing large, complex structural investment castings, airfoil castings, forged components, aerostructures and highly engineered, critical fasteners for aerospace applications. In addition, we are the leading producer of airfoil castings for the industrial gas turbine market. We also manufacture extruded seamless pipe, fittings, and forgings for power generation and oil & gas applications; commercial and military airframe aerostructures; and metal alloys and other materials for the casting and forging industries. With such critical applications, we insist on quality and dependability – not just in the materials and products we make, but in the people we recruit.

PCC is relentless in its dedication to being a high-quality, low-cost and on-time producer; delivering the highest value to its customers while continually pursuing strategic, profitable growth.

In 2016, Berkshire Hathaway, led by Chairman and CEO Warren E. Buffett, acquired Precision Castparts Corp.

Precision Castparts Corp. and its affiliates do not accept unsolicited resumes from search firms or employment agencies. Unsolicited resumes will become the property of Precision Castparts Corp & its affiliates, and no fee will be paid.

We are constantly searching for the best talent and offer excellent development programs for recent graduates as well as meaningful work experience for those still studying.