Data Science Engineer

Key Skills

Python Programming, MongoDB, SQL, Regression Analysis, NumPy, Pandas, SciPy, TensorFlow, Scikit-learn, Elasticsearch, Clustering, matplotlib, seaborn, plotly, Data Classification, Time series, Hypothesis testing, Dash framework

Job Description

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

Applied Materials AIX (Actionable Insight Accelerator) Products group is searching for a Data Science Engineer to join our team. AIX is a Data Analytics platform that enables development and deployment of new chip technologies. AIX allows engineers to innovate and optimize semiconductor processes in real-time, and control thousands of variables to improve semiconductor performance, power, area-cost and time to market (PPACt).

Responsibilities

• Develop algorithms and data pipelines for analytics-driven optimization of manufacturing systems
• Implement ML/AI modeling techniques to interpret sensor data
• Drive product enhancements using modern data science and database technologies
• Optimize application performance, troubleshoot and resolve data processing issues
• Effectively communicate technical concepts and solutions to project engineers and managers

Qualification and Skills

• Experienced in Python software development and common database flavors (SQL, MongoDB, Elasticsearch, etc.)
• Demonstrated experience with machine learning and statistical data analysis techniques: regression, time series analysis, hypothesis testing, classification, and clustering
• Proficient with scientific computing and visualization packages like numpy, SciPy, pandas, scikit-learn, TensorFlow, matplotlib, seaborn, plotly/Dash, etc.
• Familiarity with the Software Development Lifecycle and version control best practices
• University degree in Engineering, Data Science, Mathematics, or a related technical field
• 5+ years of experience
• Hands on experience with technical engineering applications in disciplines such as materials science, electrical or mechanical engineering
• Self-motivated, individual contributor with excellent communication skills

Work Location: Santa Clara, CA (Remote Hybrid)

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.

Qualifications

Education: Bachelor's Degree

Skills

Certifications:

Languages:

Years of Experience: 2 - 4 Years

Work Experience:

Additional Information

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.