Company Overview
Leading Semiconductor company - Product based industry
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Job Description
• Years of Experience: Minimum 10 - 16 years
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
• Develop generic analytics infrastructure and master library based on MS SQL database that can be used for reporting across functions
• 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
• 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
• Lead strategic design and maintenance of business intelligence and intelligent applications
Mandatory Skills required to perform the job:
• Must have lead Global BI/Data science team and building corporate level architecture.
• Hands on experience and must be up-to-date with skills in Data Warehousing, Business Objects, ETL, Business analytics & query building in MS SQL
• Working knowledge in Web Application Development and at a minimum understanding of HTML 5.0, CSS 3.0, and Java Script./Desirable (RPA,Quickbase,Fury,win.net
• Application development exposure with .NET, Cloud Computing (Azure, AWS), ASP.NET MVC/ Angular JS/node.js.
• People management of 3-6 years is mandatory.
• Working Experience on Agile Methodologies, User Stories and adoption of Agile Culture
Requirements
Data Scientist - Manager
Additional Information
Supply Chain or Manufacturing domain is preferred or any other domain.