Career Opportunities

Success Starts Here

As a leading global supplier of wafer fabrication equipment and services to the semiconductor industry, Lam Research develops innovative solutions that help our customers build smaller, faster, and more power-efficient devices.

We are a company comprised of people who work hard, deliver outstanding results and maintain a sense of humor during even the most challenging times. Our success results from our employees' diverse technical and business expertise, which fuels close collaboration and ongoing innovation. We know that our dynamic, global team of exceptional employees is essential to our continued growth.

Join the Lam Research team, where you can play a vital role in the future of electronics and write your own success story.

Data Scientist 2

Date: Apr 3, 2021

Location: Bangalore, KA, IN, 560071

Req ID: 155773

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Job Responsibilities


Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Other Job Responsibilities

  • Plan, Design, Develop and Deploy applications, software solutions for different stakeholders in global operations and across LAM Business functions. 
  • Hands-on Work on projects on QuickBase, Web, ASP.NET MVC, .NET Framework, Azure Cloud, Database Development to automate business processes, integrate with 3rd party tools, workflow and build required Web Products to accomplish business goals, and organization’s objective.  Build Web Services and Restful Services to integrate with other AI & ML Solutions
  • Hands-on Work on projects with Low-code or no code environment like Power Apps, QuickBase.
  • Plan, Design develop and test Data Models to import data from source systems to meet Project requirements.
  • Effectively analyze the source data and write SQL scripts to integrate data from multiple data sources.
  • Efficient in writing & analyses complex sqls, T-Sql programming (stored procedures, functions, etc.,)

Minimum Qualifications

Bachelor’s or master’s Degree: Engineering/Math/Statistics/Operations Research/Industrial Engineering/Computer Science

  • Expert in DB design & modeling using QuickBase
  • Expert in Data Base Development - SQL Server, SAP HANA, ETL, Database Modeling
  • Knowledge of programming language advantage .Net, ASP.NET MVC, C#, JavaScript, Power Apps, Azure Services. Angular JS, node.js, Java, Restful Web Services. Good understanding of HTML 5.0, CSS 3.0, and JS. Great UI Skills
  • Data Analysis skills and experience extracting information from SQL DB, SAP ECC, SharePoint, etc. Data Analysis skills and experience extracting information from SQL DB, SAP ECC, SharePoint
  • Expertise of Analytical Tools & Languages: Power BI, Python, R, Statistical Libraries.

Preferred Qualifications

  • Understanding and Experience in Manufacturing, Supply Chain, Spares Operations domain, Logistics
  • Knowledge of Machine Learning & Statistics
  • Knowledge of any programming language will be added advantage (preferably .Net, JavaScript)
  • Understanding and Experience in Manufacturing, Supply Chain, Spares Operations domain.
  • Working experience in Robotic Process Automation, Win shuttle and SAP tools and technologies.

Our Commitment


Our work is everywhere you look – even if you can’t actually see it. Lam Research goes deeper than software or chips to the heart of the process that enables chip creation. So if you want to help power the components that empower everything, join us.


All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

We Look Forward to Your Application

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