Algorithm Developer

Applied Materials
Bengaluru
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 3-7 yearsEducation: bachelorsSkills: ["Communication","Collaboration","Problem-solving","Stakeholder management","Ownership"]

Develop advanced analytics and AI-driven solutions in the Analytics Center of Excellence to improve productivity across Service Operations. Analyze operational and field data to identify opportunities and root causes, build predictive and decision-support models, and connect productivity gains to customer outcomes and business performance. Partner with cross-functional teams to define requirements, deploy solutions, track adoption and value realization, and maintain KPI dashboards and governance. Leverage domain knowledge in semiconductor service and diagnostics to deliver measurable impact.

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FursaFursa
Applied Materials
Applied Materials
3 days ago

Algorithm Developer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Develop advanced analytics and AI-driven solutions in the Analytics Center of Excellence to improve productivity across Service Operations. Analyze operational and field data to identify opportunities and root causes, build predictive and decision-support models, and connect productivity gains to customer outcomes and business performance. Partner with cross-functional teams to define requirements, deploy solutions, track adoption and value realization, and maintain KPI dashboards and governance. Leverage domain knowledge in semiconductor service and diagnostics to deliver measurable impact.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and deploy analytics, machine learning, and optimization solutions that drive productivity and business performance.
  • •Analyze operational and field data to identify productivity opportunities, root causes, and high-value improvement initiatives.
  • •Build predictive models and decision-support tools that link productivity improvements to customer outcomes and business metrics.
  • •Collaborate with Sales, Field Service, Operations, Engineering, and customer-facing teams to define requirements and prioritize solution investments.
  • •Drive end-to-end execution through deployment, adoption tracking, value realization, and continuous improvement, including KPI dashboards and governance.

Key Requirements

  • •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 with experience using SQL, JMP, Tableau, Power BI, Excel, or similar analytics and visualization tools.
  • •Proven experience with statistical analysis, predictive/forecast modeling, optimization techniques, and data-driven problem solving.
  • •Ability to translate operational and business challenges into scalable analytical solutions and collaborate cross-functionally to support deployment and adoption.
Experience:3-7 yearsSemiconductorMachine learningAnalyticsIndustrial engineeringService operations
Education:Bachelor's
Skills:CommunicationCollaborationProblem-solvingStakeholder managementOwnership
Tech Stack:PythonSQLJMPTableauPower BIExcelDockerGitJava

Company Brief

Applied Materials
Provides semiconductor manufacturing equipment, services, and software used to build advanced chips and display technologies. Its tools support materials engineering, deposition, etching, inspection, and process control for major electronics manufacturers worldwide.
Industry: Industrial Machinery
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1967
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