Bengaluru Karnataka Data scientist part time mentor Jobs – 89 Open Jobs Today

Data Scientist
Applied Materials —Bengaluru, Karnataka
- Full-time
- Computer Science
- ERP systems
- SQL
- Work from home
Data Scientist
Thoucentric —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- Presentation skills
Staff Data Scientist
NetApp —Bengaluru, Karnataka
- Azure
- Computer Science
- Engineering
- Paid time off
Data Scientist - L2 - BLR
CoffeeBeans Consulting —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- Databases
Sr Data Scientist
Wabtec —Bengaluru, Karnataka
- Full-time
- Master's degree
- SQL
- AWS
Quick apply
Lead Data Scientist
London Stock Exchange Group —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Engineering
- Health insurance
Environmental Consultant
WSP —Bengaluru, Karnataka
- Hybrid work
- English
- Master's degree
- Analysis skills
Senior Data Scientist
Texas Instruments —Bengaluru, Karnataka
- Azure
- Doctoral degree
- Computer Science
Data Scientist IV
Conduent Business Services India LLP —Bengaluru, Karnataka
- Email
- Computer science
- Azure
- Computer Science
Senior Data Scientist, ITC
Nike —Bengaluru Urban District, Karnataka
- Full-time
- Azure
- Research
- Master's degree
Data Analytics and Reporting Lead
AECOM —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Master's degree
- SQL
- Health insurance
- Paid time off
9h
Senior Data Scientist / AI Engineer
Applied Materials —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Software troubleshooting
- Work from home
Sr Data Scientist- Promo Optimisation
Target —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Principal Data Scientist
Meesho —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Research
- Health insurance
Tech Lead - Data Science
Trane Technologies —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
- Paid time off
- Work from home
Lead Data Scientist
FinBox —Bengaluru, Karnataka
- Full-time
Quick apply
Data Engineer
Chevron —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- DevOps
- Health insurance
8d
Earth Scientist, Asset Business Delivery
Chevron —Bengaluru, Karnataka
- Full-time
- No experience needed
- Master's degree
- Agile
- Health insurance
Senior Data Scientist Client Analytics
Epsilon —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
Senior Data Scientist
FinBox —Bengaluru, Karnataka
- Full-time
Quick apply

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Data Scientist

Applied Materials -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Benefits

Work from home

Qualifications

Computer Science
Big data
Enterprise Software
SAP
Spark
ERP systems
Tableau
SQL
Machine learning
Data science
AI
Communication skills
Python
Data Science
Product lifecycle management
Analytics

Full job description

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

What We Offer

Location:

Bangalore,IND

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits .

Job Summary:

As a Data Scientist, you will design, develop, and deploy advanced analytics and AI-driven solutions to analyze large-scale engineering, PLM, and BOM datasets. Your work will enable early identification of product, part, and lifecycle risks and support data-driven decision-making before and after product release.

This role partners closely with Released Product Engineering, Design Engineering, PLM, Manufacturing, Safety, Quality, and Reliability teams. You will translate complex data from enterprise systems such as Teamcenter and SAP into actionable insights, scalable analytics solutions, and interactive dashboards.

In addition to hands-on technical contributions, you will lead analytics initiatives, mentor junior team members, and help shape how data science influences engineering, release, and risk decisions at scale.

Key Responsibilities

Develop and implement advanced statistical, machine learning, and AI models for BOM, part, supplier, and lifecycle risk analytics
Analyze and integrate data from enterprise systems including Teamcenter PLM, SAP (E, and other engineering data sources
Design, build, and deploy scalable analytics solutions using Databricks and Spark-based platforms
Lead end-to-end data science projects, including data discovery, feature engineering, model development, deployment, and monitoring
Build and maintain dashboards and analytics applications using Tableau and low-code platforms such as Mendix
Enable data-driven decision-making for product readiness, new part release monitoring, and option optimization
Collaborate with cross-functional engineering, manufacturing, and IT teams to translate complex datasets into clear, actionable insights
Mentor junior data scientists and establish best practices for modeling, validation, and analytics governance
Stay current with emerging data science, AI, and enterprise analytics trends

Required Qualifications

6+ years of full-time experience as a Data Scientist or in an 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; strong SQL skills preferred
Experience working with large, structured enterprise datasets
Hands-on experience with Databricks, Apache Spark, or similar big data platforms
Experience integrating and analyzing data from Teamcenter, SAP, or other PLM / ERP systems
Strong experience building dashboards and visual analytics using Tableau
Exposure to low-code or app-based analytics platforms such as Mendix is a plus
Strong communication skills and ability to collaborate with cross-functional teams

Why Join This Role

Work on high-impact engineering, PLM, and product analytics problems
Influence early product, release, and risk decisions using data and AI
Collaborate with senior engineering, manufacturing, and leadership stakeholders
Opportunity to scale analytics solutions from pilot initiatives to enterprise-wide adoption
Be part of a team shaping the future of data-driven engineering and release decisions

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

Applied Materials is an Equal Opportunity Employer. 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.

Apply Now

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