AI/ML Manager - (B4)

Applied Materials, Inc.; Tucson (AZ); Remote; USD 148,000 - 204,000; Full time

Job summary

A leading materials engineering company is seeking a skilled data analyst to join their team in Tucson, Arizona. The ideal candidate will have over 10 years of experience analyzing big data and developing analytical models. Responsibilities include performing statistical analysis and communicating insights to management. A Bachelor's degree is required, and the position offers a salary range of $148,000 to $203,500, along with a supportive work culture and comprehensive benefits.

Benefits

Comprehensive benefits

Wellness programs

Career growth opportunities

Qualifications

• 10+ years of relevant experience in data analysis.
• Deep expertise in statistical and data mining techniques.
• Ability to interpret business challenges and recommend improvements.

Responsibilities

• Design and develop program methods to analyze big data.
• Perform complex statistical analysis using R, SAS, and MATLAB.
• Develop analytical models and automated processes using SQL and Python.
• Communicate insights to management for business process improvement.

Skills

Statistical analysis

Data mining

SQL

Python

Communication

Problem-solving

Education

Bachelor's degree

Tools

R

SAS

MATLAB

Job description

Time left to apply: End Date: August 11, 2025 (3 days left to apply)

Job requisition id: R2515593

Who We Are

Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build, and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables exciting technologies like AI and IoT. If you want to work beyond the cutting edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible a Better Future.

What We Offer

Salary: $148,000.00 - $203,500.00

Location: Home / Mobile, NY-001

At Applied, we prioritize your well-being and encourage you to bring your best self to work. Our benefits and wellness programs support your happiness, health, and resilience. We offer comprehensive programs to care for you and your family, fostering personal and professional growth. Learn more about our benefits.

Our supportive work culture encourages learning, development, and career growth as you take on challenges and drive innovative solutions. Visit our Careers website to learn more about careers at Applied.

Key Responsibilities

• Design and develop program methods, processes, and systems to analyze structured and unstructured big data sources.
• Perform complex statistical and data-mining analysis using tools like R, SAS, and MATLAB; design data acquisition systems, data structures, and databases.
• Interface with internal customers for requirements analysis and special requests; derive insights and work with business units to determine actions and KPIs.
• Develop analytical models, algorithms, and automated processes using SQL, Python, or PHP to cleanse, integrate, and evaluate large datasets.
• Collaborate with product and service teams to identify questions and issues for data analysis and experiments; support product development for manufacturing and process information.
• Communicate insights and findings to management for incorporation into business processes.

Education: Bachelor's degree

Experience: 10+ years of relevant experience

Skills and Competencies

• Deep expertise in your discipline
• Ability to interpret business challenges and recommend improvements
• Leadership in managing teams or projects
• Problem-solving skills with innovative solutions
• Impact on customer and operational objectives
• Strong communication and negotiation skills

Additional Information

Time Type: Full-time

Employee Type: Assignee / Regular

Travel: Yes, approximately 10%

Relocation Eligible: No

The salary will be based on location, experience, and skills, and may include bonuses and stock awards. We are an Equal Opportunity Employer committed to diversity and accessibility. For accommodation requests, contact us at [e-mail] or call HR Direct at 877-612-7547.