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 Science Manager - Architecture & Innovation

Date: Apr 25, 2021

Location: Bangalore, KA, IN, 560071

Req ID: 152043

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About Lam….


Together we move the Atoms that move the World:

Imagine working on the front lines of innovation! As one of the semiconductor industry's leading suppliers of wafer fabrication equipment and services, our technology depends on finding and hiring the best and the brightest employees. We know that our dynamic, global team of exceptional employees is essential to our continued growth.


Lam Research - where successful people want to work:

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. This is truly a rare opportunity. Lam Research is a market leader where our core values are not just words on the back of your badge. Given the criticality of this role to Lam Research's success, this philosophy starts with you.

Job Responsibilities

Position : Innovation Manager – Data Science & Artificial Intelligence

Passionate for technology to solve complex business problems and greatly inspired by industry latest trends in Artificial Intelligence & analytics with strong knowledge of architecture. Build strong Innovation practices in the Center of Excellence.
•Lead developers, data scientists, architects with a focus on Artificial Intelligence, Machine Learning, Application Development, Robotics, and Deep learning. Proven track record of conceptualizing new ideas into solutions.
•Proven track record of developing and implementing Artificial Intelligence, Machine Learning strategies at scale, solving identified business problems, and achieving optimization in the analytics solution development & operational efficiencies
•Demonstrated ability to deliver high quality AI solutions in a matrix organization, thinking out of the box and solving hard problems while navigating through ambiguity.
•Demonstrated leader capable of executing the AI agenda while managing complex variables including Information and Data Governance, Data Management, SDLC Management, and alignment and partnership with GIS IT team
•Ensure to interpret business strategy and determine innovative solutions supporting strategy implementation.
•Develop a high-performance innovation environment in the center of excellence.
•Manage and evaluate portfolio data and innovation pipeline assisting strategic decision-making for Analytics COE platforms and technology selection as per alignment with Global IT, local IT, and Cross-functional business teams
•Design, research, develop, analyze and suggest new concepts as well as strategies as per the latest industry trends
•Deliver Rapid Prototypes, Experiments, Hypothesis Testing, and Adhoc Analysis for data-driven decision making.
•Provide technical leadership to different Center of Excellence Teams and tracking reporting of metrics with cadence.
•Leading POCs to create breakthrough technical solutions, performing exploratory and targeted data analyses
•Understand the business context able to interpret data and make recommendations. Conduct Insight Sessions.
•Responsible for developing and managing analytical & business applications, AI and digital transformation applications
•Lead and direct different cross-functional programs and projects of varied sizes and types concurrently.
•Contribute and influence the strategic direction for senior leadership using informal and formal communication.
•Manage and attain customer expectations and ensure high-quality delivery fulfills expectations.

Minimum Qualification

•Educational: Master’s Degree: Engineering/Mathematics/Statistics/Computer Science/MBA (Systems & operations) /M. Tech / Ph.D. from leading institutes.
•Years of Experience: Minimum 12 - 16 years, 5 years of supervisory experience.

• Must have led an AI/innovation team in building solutions for Supply Chain/ Manufacturing/Operations or semiconductor Industry or other domains. Experience in identifying & defining technical use cases & problem statements
• Hands-On experience in Statistics, Machine Learning algorithms like Logistic Regression, Decision trees, Clustering, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems, etc. Tool Expertise: Python, R, Tensor flow, CNTK (Deep Learnings Framework) and advance architecture.
• Strong working knowledge and experience in Enterprise & Data Architecture, Database Design, Star-Schema, Profiling, Modeling, SAP HANA/SQL Server & BI and Visualization tools Power BI/Qlik Sense/Tableau
• Hands-On Working Experience on Cloud Platforms like Azure - Azure synapse, Databricks, Azure ML, .NET, Web APIs etc.
• Hands-On Working experience in Big Data platforms such as Hadoop, Hive, Spark, Java, Web API, GPU Clusters for deep learning. Implemented more than 4-5 Big projects. Experience in Agile delivery processes.

Preferred Qualification

•knowledge of Supply Chain Business Applications like Kinaxis, Supply Chain Guru, Inventory Optimization, SPM, SAP ECC, SAP S/4, Microsoft Dynamics. Knowledge of System Architecture.
•Experience in strong application development exposure with C#, jQuery, ASP.NET MVC, Angular JS, node.js, Java, Restful Web Services. Good understanding of HTML 5.0, CSS 3.0, and JS.
•Knowledge of Blockchain, 3D-Printing, AR, VR, Additive manufacturing,
•Familiarity with lean six sigma and its application to data interpretation

More About Us ….


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.

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