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.

This success is the result of our employees' diverse technical and business expertise, which fuels close collaboration and ongoing innovation.

Join the Lam Research team, where you can write your own success story. Come help us solve our customers' toughest problems and be part of a company that plays a vital role in the future of electronics.

Lam Research - a company where successful people want to work.

Data Science Manager

Date: Jul 21, 2020

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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

 

Directs the activities of a data science team responsible for the design, development, programming methods, processes and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for businesses across the company. Oversees the development of software programs, algorithms and automated processes that cleanse, integrate and evaluate large data sets from multiple disparate sources. Identifies and communicates to stakeholders, meaningful, actionable insights from large data and metadata sources. Selects, develops, and evaluates personnel ensuring the efficient operation of the function.

Other Job Responsibilities
  • Lead Application Development and Data Science Project Teams.  Hands-On Experience in BI, Advance Analytics and Application Development
  • Deliver Rapid Prototypes, Experiments, Hypothesis testing and Adhoc Analysis to support business with data driven decision making.
  • Provide technical leadership to BI team building architecture for tracking daily, weekly, monthly, quarterly reporting of metrics
  • Work with Global and local IT and Cross-functional business teams
  • Maintain KPI to support business needs of functional managers
  • Develop generic analytics infrastructure and master library based on MS SQL database that can be used for reporting across functions
Minimum Qualification
  • Years of Experience:      Minimum 12 - 16 years, 4-6 years of supervisory experience.
  • Job Experience:               Experience in developing Business Intelligence (BI), Applications, Advance Analytics and Data Science Projects
  • Educational:                     Bachelor’s or master’s Degree: Mathematics/Statistics/Computer Science/MBA (Systems & operations)
Preferred Qualification
  • Working Experience in BI , Data Science, AI, DL and ML Projects.
  • Hands on experience and must be up to date with skills in Data Warehousing, Business Objects, ETL, Business analytics & query building in MS SQL
  • Experience developing Business Intelligence with SAP HANA/SQL Server & Power BI/Qlik Sense/Tableau
  • Working knowledge in Web Application Development and at a minimum understanding of HTML 5.0, CSS 3.0, and JavaScript. Application development exposure with Java, C#, JQuery, Power BI, SAP Lumira, Appian, .NET, Cloud Computing (Azure, AWS), ASP.NET MVC, Angular JS, node.js.
  • Must have led a BI team building corporate level architecture for Supply Chain or Manufacturing Operations
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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