Algorithm Developer

Role Summary

As an Algorithm Developer, you will be a key contributor within the Analytics Center of Excellence, developing advanced analytics, machine learning, optimization, and AI-driven solutions that improve productivity across Service Operations. You will work at the intersection of operational data, field execution, customer outcomes, and business objectives, transforming complex challenges into scalable algorithms, actionable insights, and measurable business impact. The role requires strong technical expertise, business acumen, and cross-functional collaboration to deliver sustainable productivity improvements.

Key Responsibilities

• Design, develop, and deploy analytics, machine learning, optimization that drive productivity, operational efficiency, customer value, and business performance.
• Analyze complex operational and field data to identify productivity opportunities, root causes, performance gaps, and high-value business improvement initiatives.
• Leverage domain knowledge in semiconductor equipment, manufacturing, service operations, diagnostics, automation, reliability, or advanced technology environments to develop scalable productivity solutions.
• Build predictive models, decision-support tools, and business cases that connect productivity improvements to customer outcomes, revenue growth, margin enhancement, quality improvements, and operational excellence.
• Collaborate with Sales, Field Service, Operations, Engineering, and customer-facing teams to identify high-value problems, define requirements, prioritize solution investments, and ensure successful deployment and adoption.
• Drive end-to-end execution from opportunity identification and solution development through implementation, adoption tracking, value realization, and continuous improvement.
• Establish performance monitoring frameworks including dashboards, KPIs, operating rhythms, and governance mechanisms to measure impact, communicate progress, and drive accountability.
• Contribute to the Analytics COE roadmap by driving innovation through advanced analytics, AI, digital productivity tools, and automation technologies.
• Ability to drill down to tool HW configuration, process, tool states, events data, other diagnostic datalogs as needed to validate tool operations, metrology/ inline data outcomes.

Required Skills & Experience

• Bachelor's or Master's degree in Data Science, Engineering, Mathematics, Statistics, Industrial Engineering, Operations Research, or a related technical field.
• 3 to 7 years of experience in algorithm development, analytics, machine learning, industrial engineering, productivity improvement, service operations, or related technical roles.
• Strong proficiency in Python and experience with SQL, JMP, Tableau, Power BI, Excel, or similar analytics and visualization platforms.
• Proven experience in statistical analysis, predictive/forecast modeling, optimization techniques and data-driven problem solving.
• Demonstrated ability to translate operational and business challenges into scalable analytical solutions that drive measurable outcomes.
• Experience working across cross-functional teams, influencing stakeholders, managing priorities, and supporting solution deployment and adoption.
• Strong communication, collaboration, and problem-solving skills with the ability to engage technical, operational, and business stakeholders.
• Having prior experience on Agentic AI-based solutions would be preferred.

Success Profile

We are looking for engineering-oriented algorithm developers, not pure reporting analysts, who:

• Solve operational and customer-facing challenges using data-driven approaches.
• Combine analytical depth with strong execution focus.
• Translate insights into decisions, actions, and measurable business outcomes.
• Effectively influence and collaborate across global cross-functional teams.
• Demonstrate ownership, innovation, and a continuous improvement mindset.

Analytics COE Motto

"Every algorithm must lead to a decision, action, or measurable business outcome."

## Qualifications

### Education:

Bachelor's Degree

### Skills

### Certifications:

### Languages:

### Years of Experience:

2 - 4 Years

### Work Experience:

## Additional Information

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### Shift:

Day (India)

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### Travel:

Not Specified

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### Relocation Eligible:

Yes

### Referral Payment Plan:

Employee Referral (Standard)

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.