Data Scientist

Who We Are

Applied Materials is a 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 the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

What We Offer

Salary:

$119,500.00 - $164,500.00

Location:

Santa Clara,CA

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits ( .

Job Description

Be a part of internal consulting team with high visibility to Applied Global Services executive leadership. Lead strategic projects to streamline business processes, improve supply chain and operations, reduce costs, and improve business performance. Have responsibility for complete project life cycle starting with analysis of the as-is process, identification and quantification of the opportunities, development of improvement streams, securing buy-in from stakeholders, and driving implementation.

High impact role that requires relentless change management motivation rewarded with material impact to business unit performance. Opportunity to impact a $6B business with thousands of field engineers, complex global logistics network, and a wide range of products and services.

Key Responsibilities

• Structure and break down complex business problems, develop hypothesis, drive analysis and deliver recommendations in a data-driven manner

• Lead thoughtful and rigorous analysis across large data sets and synthesize insights and opportunities

• Work collaboratively across a cross-functional set of stakeholders to gather the right information, pressure test your hypothesis, co-create deliverables, accelerate execution and unlock value

• Optimize operations and business processes to improve performance, reduce cycle time, and shrink costs

• Collect data from multiple sources, filter anomalies, and clean unstructured data to ensure accuracy

• Use statistical data analysis and tools to identify, analyze, and interpret patterns and trends in complex data sets and build diagnosis and prediction models

• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for accuracy and efficacy

• Create effective Power BI based mockups, prototype, reports, and applications utilizing best practices

• Communicate analytic solutions to stakeholders and implement improvements as needed to operationalize systems

• Create Training Materials and administer end-user training using generative AI models and tools.

• Design, develop and deploy interactive data visualizations using Power BI

• Maintain data systems and assist in developing automated processes for continuous data collection.

Key Requirements

• Broad understanding and experience including logistics, financial reporting, purchasing, and service business management.

• Strong analytical skills – able to extract real insight from multiple data sources

• Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.

• Knowledge of machine learning techniques (clustering, decision tree learning, neural networks, etc.) and their applications

• Knowledge of advanced statistical techniques and concepts (regression, distributions, statistical tests, etc.) and experience with applications of these techniques.

• Excellent oral and written communication, organizational, analytical, and interpersonal skills

• Able to work effectively in a matrix environment and influence others

• Detail oriented, able to connect the dots and communicate complex ideas effectively

• Knowledge of business intelligence tools such as Power BI. Experience of creating interactive dashboard with business intelligence tools such as Power BI

Education :

· Industrial Engineering, Computer Science, Data Science, Business Analytics or equivalent bachelor’s degree

·

Experience :

· 4 years relevant work experience, preferably in the Semiconductor industry or consulting

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 25% of the Time

Relocation Eligible:

Yes

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

In addition, Applied endeavors to make our careers site ( accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at View email address on click.appcast.io, or by calling our HR Direct Help Line at View phone number on click.appcast.io, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.