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Data Scientist II New College Grad- Master's - Job Opportunity at Applied Materials

Santa Clara, United States
Full-time
Entry-level
Posted: April 23, 2025
On-site
USD 119,500 - 164,500 per year

Benefits

Comprehensive healthcare package with competitive coverage
Professional development and career growth programs
Work-life balance initiatives
Family-focused benefits
Wellness programs with holistic approach
Total rewards package above industry standard
Learning and development opportunities

Key Responsibilities

Design and develop advanced data analytics programs for manufacturing optimization
Conduct complex statistical analysis using R, SAS and MATLAB
Interface with stakeholders for requirements gathering and analysis reporting
Develop analytical models and algorithms using SQL, PHP, and Python
Support manufacturing process improvement through sophisticated data analytics
Contribute to cross-functional team initiatives

Requirements

Education

Master's Degree

Experience

Entry Level - New Graduate

Required Skills

Statistical analysis R programming SAS MATLAB SQL PHP Python Data mining Big data analytics Process optimization Manufacturing analytics
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Sauge AI Market Intelligence

Industry Trends

Semiconductor industry is experiencing unprecedented growth driven by AI, IoT, and advanced computing demands Increasing focus on smart manufacturing and Industry 4.0 implementations is creating high demand for data scientists in manufacturing Integration of AI/ML in semiconductor manufacturing processes is becoming critical for maintaining competitive edge Growing emphasis on sustainable and efficient manufacturing processes through data-driven optimization

Salary Evaluation

The offered salary range of USD 119,500 - 164,500 is highly competitive for an entry-level data scientist position in Silicon Valley, reflecting both the high cost of living and the strategic importance of the role. This range positions at the 75th percentile for similar roles in the region.

Role Significance

Likely part of a 5-8 person data science team within a larger manufacturing analytics department, with opportunities for cross-functional collaboration.
Entry-level position with significant technical responsibility and direct impact on manufacturing processes. The role offers substantial exposure to core business operations despite being a junior position.

Key Projects

Manufacturing process optimization through predictive analytics Quality control improvement initiatives using statistical modeling Yield enhancement through data-driven insights Equipment performance optimization projects Process automation and efficiency improvements

Success Factors

Strong foundation in statistical analysis and programming Ability to translate complex technical concepts to business stakeholders Understanding of manufacturing processes and their optimization Collaborative approach to problem-solving Adaptability to rapid technological changes

Market Demand

Very high demand with significant growth potential. The semiconductor industry's expansion and increasing reliance on data-driven decision making creates strong job security and advancement opportunities.

Important Skills

Critical Skills

Statistical analysis capabilities for process optimization Programming skills for automation and analysis Data mining expertise for manufacturing insights Communication skills for stakeholder collaboration

Beneficial Skills

Machine learning knowledge for advanced optimization Manufacturing process understanding Cloud computing platforms Visualization tools expertise

Unique Aspects

Direct involvement in semiconductor manufacturing innovation
Exposure to cutting-edge manufacturing technologies
Opportunity to work with advanced analytics in a real-world manufacturing environment
Clear path for technical career advancement

Career Growth

Typical progression to Senior Data Scientist within 2-3 years, with potential for technical lead roles within 4-5 years.

Potential Next Roles

Senior Data Scientist Manufacturing Analytics Lead Process Optimization Specialist Technical Project Manager Machine Learning Engineer

Company Overview

Applied Materials

Applied Materials is the global leader in materials engineering solutions for semiconductor manufacturing, with a dominant market position and extensive R&D capabilities.

Industry leader with significant market share in semiconductor manufacturing equipment, consistently driving innovation in the sector.
Silicon Valley headquarters provides access to cutting-edge technology ecosystem and industry leadership.
Innovation-focused environment with emphasis on technical excellence and collaborative problem-solving. Strong learning culture with opportunities for mentorship and knowledge sharing.
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