Data Scientist

Posted 4 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
170K-234K Annually
Entry level
Artificial Intelligence • Semiconductor • Manufacturing
The Role
Develops statistical and data-mining models, automated analytical processes, and systems for consolidating large structured and unstructured datasets. Uses R, SAS, MATLAB, SQL, PHP, and Python to cleanse, integrate, and evaluate data. Partners with internal customers, product teams, service teams, and business leaders to define requirements, identify KPIs, derive insights, support manufacturing and process information products, and communicate analytical findings that improve business processes.
Summary Generated by Built In

Who We Are


Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.


What We Offer


Salary:

$170,000.00 - $234,000.00

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

Key Responsibilities:

Works in project teams as subject matter expert to  design and development of program methods, processes and systems to consolidate and analyze structured and unstructured, diverse "big data" sources

Performs complicated statistical and data -mining analysis, using statistical tools like R, SAS and MATlab input and design of data acquisition systems, data structure and database design.

Interfaces with internal customers for requirements analysis and special requests and schedules; derives insights and works with business unties to determine actions and KPI for those actions

Works  in project teams developing difficult analytical models,  algorithms and automated processes, applying  SQL understanding and PHP or Python programming, to cleanse, integrate and evaluate large datasets.

Interacts with product and service teams to identify questions and issues for data analysis and experiments; Supports the timely development of products for manufacturing and process information by applying sophisticated data analytics, based on a very good knowledge of the business processes and needs

Communicates insights and findings from analysis and experiments to product, service and business management to be incorporated into the measuring of effective business processes

Functional Knowledge

  • Demonstrates depth and/or breadth of expertise in own specialized discipline or field

Business Expertise

  • Interprets internal/external business challenges and recommends best practices to improve products, processes or services

Leadership

  • May lead functional teams or projects with moderate resource requirements, risk, and/or complexity

Problem Solving

  • Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions

Impact

  • Impacts the achievement of customer, operational, project or service objectives; work is guided by functional policies

Interpersonal Skills

  • Communicates difficult concepts and negotiates with others to adopt a different point of view

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% 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 [email protected], or by calling our HR Direct Help Line at 877-612-7547, 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.

Skills Required

  • Expertise in statistical and data-mining analysis
  • Experience designing data acquisition systems, data structures, and databases
  • Knowledge of R, SAS, and MATLAB
  • Understanding of SQL
  • Programming experience with PHP or Python
  • Experience cleansing, integrating, and evaluating large datasets
  • Ability to develop analytical models, algorithms, and automated processes
  • Knowledge of business processes and data analytics
  • Ability to communicate insights to product, service, and business management

Applied Materials Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Applied Materials and has not been reviewed or approved by Applied Materials.

  • Healthcare Strength Company materials emphasize comprehensive medical, dental, vision, mental health, and wellness programs for employees and families, with coverage beginning on day one in many cases. On-site or virtual care options at major campuses further reinforce the breadth of support.
  • Leave & Time Off Breadth Exempt employees are offered a Flexible Time Off program and U.S. teams observe 11 paid company holidays. These policies are consistently highlighted across official benefits summaries.
  • Equity Value & Accessibility An Employee Stock Purchase Plan is widely available and presented as a core part of the U.S. package, alongside equity grants in many roles. These ownership elements are positioned as meaningful contributors to total rewards.

Applied Materials Insights

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The Company
HQ: Santa Clara, CA
23,282 Employees
Year Founded: 1969

What We Do

Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible a better future.

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