Applied Materials

3 days ago

Data Scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Design, develop, and deploy AI-driven analytics to study large-scale engineering, PLM, and BOM datasets. Use advanced statistical, machine learning, and risk models to identify product, part, and lifecycle risks early and support data-driven decisions before and after release. Translate data from Teamcenter and SAP into scalable solutions, interactive dashboards, and monitored deployments, while leading initiatives and mentoring junior data scientists.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Develop and implement statistical, machine learning, and AI models for BOM, part, supplier, and lifecycle risk analytics
•Analyze and integrate data from enterprise systems including Teamcenter PLM and SAP into actionable insights
•Design, build, and deploy scalable analytics solutions using Databricks and Spark-based platforms
•Lead end-to-end data science projects including feature engineering, model development, deployment, and monitoring
•Build dashboards and analytics applications using Tableau and low-code platforms such as Mendix, and mentor junior data scientists

Travel: Low travel

Pay and Benefits

Perks:Wellness StipendTravel AllowanceLearning Budget

Key Requirements

•6+ years of full-time experience as a Data Scientist or equivalent analytics role
•Postgraduate degree in Data Science, Computer Science, Statistics, Engineering, or a related field
•Strong foundation in machine learning, statistical modeling, and data analysis techniques
•Proficiency in Python and strong SQL skills
•Experience with large enterprise datasets and integrating data from Teamcenter and SAP (or similar PLM/ERP systems)

Experience:6+ years

Education:Master's in Data Science, Computer Science, Statistics, Engineering, or a related field

Skills:CommunicationCollaborationMentoring

Tech Stack:PythonSQLDatabricksApache SparkSparkTableauMendixTeamcenterSAP

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

Glassdoor: 3.9

Website LinkedIn Glassdoor

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Applied Materials

3 days ago

Data Scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Develop and implement statistical, machine learning, and AI models for BOM, part, supplier, and lifecycle risk analytics
•Analyze and integrate data from enterprise systems including Teamcenter PLM and SAP into actionable insights
•Design, build, and deploy scalable analytics solutions using Databricks and Spark-based platforms
•Lead end-to-end data science projects including feature engineering, model development, deployment, and monitoring
•Build dashboards and analytics applications using Tableau and low-code platforms such as Mendix, and mentor junior data scientists

Travel: Low travel

Pay and Benefits

Perks:Wellness StipendTravel AllowanceLearning Budget

Key Requirements

•6+ years of full-time experience as a Data Scientist or equivalent analytics role
•Postgraduate degree in Data Science, Computer Science, Statistics, Engineering, or a related field
•Strong foundation in machine learning, statistical modeling, and data analysis techniques
•Proficiency in Python and strong SQL skills
•Experience with large enterprise datasets and integrating data from Teamcenter and SAP (or similar PLM/ERP systems)

Experience:6+ years

Education:Master's in Data Science, Computer Science, Statistics, Engineering, or a related field

Skills:CommunicationCollaborationMentoring

Tech Stack:PythonSQLDatabricksApache SparkSparkTableauMendixTeamcenterSAP

Company Brief

Applied Materials

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

Glassdoor: 3.9

Website LinkedIn Glassdoor