Applied Materials Jobs

Key Responsibilities

Supports the design and development of program methods, processes and systems to consolidate and analyze structured and unstructured, diverse "big data" sources

Supports ad-hoc statistical and data mining analysis, using statistical tools like R, SAS and MATlab

Interfaces with internal customers for requirements analysis and compiles data for scheduled or special reports and analysis

Supports project teams to develop analytical models, algorithms and automated processes, applying SQL understanding and PHP or Python programming, to cleanse, integrate and evaluate large datasets.

Supports the timely development of products for manufacturing and process information by applying sophisticated data analytics

Qualification:

• 4 - 7 years of experience as data scientist

• Demonstrated experience in applying AI / ML models to solve business issues

• Required technical skills in SQL, Hadoop (preferred), Python, AI / ML models (NLP / LLM / ARIMA / etc)

• Experience in Supply Chain domain and Tableau

Functional Knowledge

• Demonstrates expanded conceptual knowledge in own discipline and broadens capabilities

Business Expertise

• Understands key business drivers; uses this understanding to accomplish own work

Leadership

• No supervisory responsibilities but provides informal guidance to new team members

Problem Solving

• Solves problems in straightforward situations; analyzes possible solutions using technical experience and judgment and precedents

Impact

• Impacts quality of own work and the work of others on the team; works within guidelines and policies

Interpersonal Skills

• Explains complex information to others in straightforward situations

Qualifications

Education:

Bachelor's Degree

Skills:

Certifications:

Languages:

Years of Experience:

4 - 7 Years

Work Experience:

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

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.