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.

Supv 2, Data Science

Date: Dec 12, 2019

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Manager Data Science - Applications

 

 

Eligibility Criteria:

  • Years of Experience:      Minimum 10 - 16 years, 4-6 years of supervisory experience.
  • Job Experience:               Experience in developing Applications, Business Intelligence(BI), Advance Analytics and Data Science Projects
  • Educational:                     Bachelor’s or master’s Degree: Math/Statistics/Computer Science/MBA (Systems & operations)

 

Primary Responsibilities:

  • Lead Application Development and Data Science Project Teams.  Hands-On Experience in 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
  • Leading POCs to create break through technical solutions, performing exploratory and targeted data analyses
  • Deliver adhoc requests for information from established data sources, such as SAP, SQL databases, QuickBase applications & 3PL Portals
  • Review data and develop visual representations of data to support management decision making
  • Understand the business context of functional managers and be able to interpret data and make recommendations based on data analysis
  • Develop incremental reporting requirements and maintain and manage data in line with the data architect’s roadmap
  • Support the development and implementation of best known methods with respect to data analytics
  • Responsible for developing and deploying analytical & business applications, AI application. Also, Responsible for Business Process Automation and Digital Transformation Projects

 

Mandatory Skills required to perform the job:

  • Must have lead a BI team building corporate level architecture for Supply Chain or Manufacturing Operations
  • 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 infrastructure with SAP HANA & 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.
  • Lead strategic design and maintenance of business intelligence and intelligent applications
  • Experienced in writing formal documentation on Business Requirements, Functional, and Technical Specifications.
  • Working Experience on Agile Methodologies, User Stories and adoption of Agile Culture
  • Familiar with Project Management Methodologies. MS Project skills preferred.
  • Identifies, researches and resolves complex technical problem
  • Ability to work independently and take personal initiative
  • Familiarity with statistical techniques and lean six sigma and its application to data interpretation
  • Excellent verbal and written communication skills, able to communicate cross-functionally
  • Strong interpersonal skills, with a desire to work as part of a global team

 

Desirable Skill:

  • Prefer Experience in aftermarket Spares Operations or Automotive or e-commerce or Consulting practice
  • Experience in Cloud Computing, Big Data, Industry 4,0.
  • Working Experience in Data Science, AI, DL and ML Projects.
  • Tools: Python, R, Tensor flow and another advance analytical tool.

 

 

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