Data Scientist IV (E4)

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

Qualifications:

• Bachelor’s Degree in areas of Computer Science, Engineering, Mechanical, Industrial Engineering etc.
• Master’s Degree in Computer Science is preferred.
• 7 to 10 years of Experience in application of ML (Machine Learning) in support of manufacturing environment.
• Preferred experience with Semiconductor equipment / Manufacturing industry.
• Ability to collaborate with cross functional teams and have excellent communications skills.
• Have key achievements as a DS professional and initiatives that have transformed business.

Qualifications

Education:

Bachelor’s Degree

Skills:

Certifications:

Languages:

Years of Experience:

7 – 10 Years

Work Experience:

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

U.S. Salary Range:

$144,000.00 – $198,000.00

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 committed to diversity in the workplace. All 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.