ZipRecruiter

Log In

1

Metallurgy Python Jobs (NOW HIRING)

Kaiser Aluminum

Metallurgical Engineer

Spokane, WA · On-site

$85K - $150K/yr

Experience in large dataset collection, integration, and visualization by using Excel, SQL, Mintab, Python, etc. * Background in aluminum manufacturing, physical, and mechanical metallurgy.

Novelis

Metallurgical Engineer

Kennesaw, GA

As part of the Metallurgy team, you will work on innovative projects that enhance product ... Python, MATLAB, SolidWorks) and a desire to master CALPHAD software packages (e.g., Thermo-Calc ...

ATS Staffing

R&D Engineer

Augusta, ME · On-site

... Python, C++, or comparable languages. Experience with ISO 14001 and OSHAS 18001/ISO 45001 is a plus. Education University degree in metallurgy, process engineering, chemistry, mathematics, or ...

Coeur Mining

Operational Excellence Engineer

Chicago, IL · On-site

$95 - $110K/hr

Utilize Python or other statistical analysis programs for data analysis, automation, and ... Engineering background in Mining Engineering, Metallurgy, or a related discipline . * Experience in ...

EOS

R&D Engineer

Pflugerville, TX · On-site

... metallurgy, process engineering, mechanical engineering, or a comparable field of study • Practical experience with engineering software tools (e.g., CFD, FEA) and programming skills (e.g., Python)

Archer

Rotor/Hub Structural Analyst

San Jose, CA · On-site

$125K - $160K/yr

This role requires expertise of structures of metallic and composite structures and a deep ... Proficiency in Python and/or Matlab scripting This position will require travel up to 10% to Archer ...

next page

Showing results 1-20

People also search for

All JobsMetallurgy Python Jobs

Metallurgy Python information

See salary details

$23K

$140K

$202.5K

How much do metallurgy python jobs pay per year?

As of Jun 4, 2026, the average yearly pay for metallurgy python in the United States is $139,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $164,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Metallurgy Python developer, and why are they important?

To excel as a Metallurgy Python developer, you need a solid background in materials science or engineering, strong Python programming skills, and experience with data analysis. Familiarity with metallurgy-specific libraries (like pymatgen), simulation tools (such as Thermo-Calc or CALPHAD), and data visualization platforms is commonly required. Analytical thinking, attention to detail, and effective communication help translate complex metallurgical concepts into actionable code and insights. These competencies are crucial for developing reliable computational models, automating analyses, and supporting innovation in metallurgical research and development.

How does a Metallurgy Python professional typically collaborate with engineers and data scientists in a manufacturing environment?

In a manufacturing setting, Metallurgy Python professionals often work closely with engineers and data scientists to analyze material properties and optimize production processes. They use Python to process large datasets from lab tests or production lines, helping engineers identify trends and make data-driven decisions. Regular meetings and cross-functional project teams are common, allowing for real-time sharing of insights and troubleshooting. This collaborative environment fosters innovation and ensures that metallurgical solutions are both technically sound and practically viable.

What is metallurgy in Python?

Metallurgy in Python refers to the use of Python programming language tools and libraries to model, analyze, and simulate metallurgical processes and materials science problems. This typically involves using scientific libraries such as NumPy, SciPy, and matplotlib for data analysis and visualization, as well as specialized packages for crystallography, phase diagrams, and thermodynamics. Python's flexibility and ease of use make it a popular choice for researchers and engineers in metallurgy to automate calculations, process experimental data, and develop custom simulation tools.

What is the difference between Metallurgy Python vs Materials Scientist?

AspectMetallurgy PythonMaterials Scientist
Required CredentialsTypically requires a degree in metallurgy, materials science, or related fields; programming skills in PythonRequires a degree in materials science, chemistry, or physics; often includes programming knowledge
Work EnvironmentLaboratories, manufacturing plants, and research facilities with a focus on metallurgy processes and data analysisResearch labs, industrial settings, and academia focusing on material properties and development
Industry UsageUsed in metal production, quality control, and process optimization with Python scriptingApplied across various industries for developing new materials and analyzing material behavior

While both roles involve materials and scientific knowledge, Metallurgy Python emphasizes programming skills in Python for metallurgy applications, whereas Materials Scientists focus broadly on material properties and development, often with less emphasis on programming.

Infographic showing various Metallurgy Python job openings in the United States as of May 2026, with employment types broken down into 40% Full Time, and 60% Part Time. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.
Metallurgical Engineer

Metallurgical Engineer

Kaiser Aluminum

Spokane, WA • On-site

$85K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Kaiser Aluminum rating

7.4

Company rating: 7.4 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

268th of 515 rated manufacturers

Job description

Kaiser Aluminum is known around the world for its superior quality. Our secret is what we put into it-innovative thinking, industry-leading reliability, and a world-class commitment to customer service. In short, the same qualities we look for in our people. We are looking for a Metallurgical Data Scientist to join the Kaiser Aluminum onsite team in Spokane Washington with a background in aluminum manufacturing, physical/mechanical metallurgy and Finite Element Analysis!
Must be a USA person (identified as US Citizen, US Permanent Resident (Green Card), any individual who is granted status as a "protected person" under 8 U.S.C. 1324b(a)(3).
Benefits
  • Salary range $85,000 to $150,000 commensurate with experience.
  • High deductible medical, dental, vision, and basic life insurance, including spouse and children (modest payroll deductions).
  • 10 paid holidays per year.
  • Vacation (3 weeks starting out).
  • Supplemental leave (used in conjunction with Washington Paid Family & Medical Leave).
  • 401K with matching company funds.
  • Quarterly bonus structure.
  • Tuition reimbursement.

The Metallurgical/Data Scientist is responsible for analysis, design, testing and implementation of existing and new applications and integrations. The ideal candidate will be a strong technical resource with the ability to understand, learn and master many different diverse technologies used across the enterprise, work with minimal supervision, and has ability to work closely with the business and technical resources.
What you will work on:
  • Conduct the low cost and high quality product and process improvement and optimization through the combination of advanced data analytics and ICME (Integrated Computational Material Science).
  • Monitor, evaluate, and apply the advanced computing technologies and algorithms for the most sophistic data analytics to uncover insights and hidden variables, identify root causes and patterns, forecast outcomes, and provide data-drive solutions.
  • Production process data collection, high dimension large dataset multivariate analysis, classic and penalized regression predictive modelling, advanced neural-network and decision-tree based predictive modeling development and applications.
  • Develop general and challenge specific predictive modeling capabilities by using commercially available software and/or internal computational codes.
  • Design and development of alloys and processes for Aluminum products through advanced data analytics and ICME.
  • Provide guidance and mentorship supports for different levels of data analytics including the principle and limits of different analytical algorithms.
  • Provide support for Industry 4.0 initiatives.
  • Develop, define, and complete on-time assigned research & development chartered projects.
  • Support plant projects as directed.
  • Write technical reports summarizing work as well as presentations to peers on progress at continuous improvement meetings.
  • Perform metallurgical and structural analysis of aluminum products.
  • Work in cross-functional teams to develop process and production improvements.
  • 5S of assigned areas.

What you will bring to the role:
  • MS degree in Data Science, or Computational Material Science, or Statistics, or Material Science or Mechanical Engineering is required. A PhD is preferred.
  • Excellent experience in statistical analysis and computing for data-driven problem solving in manufacturing environment.
  • Strong skills and experience in predictive modeling development by using multivariate analysis, classic and penalized regression predictive modelling, advanced neural-network and decision-tree based predictive modeling technologies.
  • Experience with the advanced computing technologies and algorithms, such as machine learning, to build high quality predictive modes, uncover insights and hidden variables, and provide solutions.
  • Experience in large dataset collection, integration, and visualization by using Excel, SQL, Mintab, Python, etc.
  • Background in aluminum manufacturing, physical, and mechanical metallurgy.
  • Experience in thermodynamic and kinetic material modeling by using CALPHA principle, and process simulations by using FEA and CFD tools.
  • An ability to apply continuous improvement tools and methodologies to processes and projects
  • Excellent communication skills (written and verbal) and organizational skills.
  • Proven ability to work in teams.
  • Ability to manage multiple tasks simultaneously.

PREFERRED SKILLS
  • Experience in metal rolling process simulation through FEA, Crystal Plasticity (CP) model, and other microstructure-based material models.
  • Experience in material characterization such as microstructure and mechanical properties.

WORK ENVIRONMENT
  • Approximately 70% of the job function is performed in an office setting requiring normal safety precautions. 30% of the job function is required in the plant. There is exposure to operating machinery and a manufacturing environment.

We are an equal opportunity employer. All applicants will be considered based on job-related qualifications and abilities. There shall be no discrimination on the basis of age, race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, veteran, or disability status.
About Kaiser Aluminum: Talented people join our team because we are a company passionate about environmental sustainability, employee growth, contributing back to our communities and championing an inclusive culture.
No third-party candidate submissions are being accepted at this time for this opening

What Kaiser Aluminum employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply