INRBINDeputy ManagerAssistant ManagerData scientistNaPBPS-TEF4
INRBINDeputy ManagerAssistant ManagerData scientistNaPBPS-TEF4
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Job Description
The Purpose of this position is to Implement and Support Value stream in executing Digital Solutions in Plant.
Strategic Thinking And Leadership
Mine & analyse data from databases and carry out predictive modelling to improve operational excellence. Develop custom data models and algorithms to apply to data sets.
Platform projects Sustenance and Implementation
Communication And Change Management
Communicating the benefits of digital solutions to stakeholders including senior management and employees and promoting a culture of innovation and continuous improvement. Adoption of new technologies in AI/DA
Project Management
Ability to develop project plans manage budgets and track progress against milestones. Ensure that the plant is compliant with all relevant regulations and standards related to digital technology in manufacturing.
KPI : Number of projects implemented
Data Analysis
Analyse data to identify trends make informed decisions and measure the impact of digital transformation initiatives. Analyse data from manufacturing processes to identify areas for improvement of operational efficiency
KPI : Cost Saving.
Technical Expertise
Promote latest digital technologies and their application in manufacturing. Ensure that new technologies are effectively adopted by the plant.
Collaboration
Collaborate effectively with crossfunctional teams and external partners such as technology vendors Manage relationships with technology vendors & Value streams for delivering digital solutions.
KPI Adoption of benchmarking practices across locations.
Qualifications :
- BE/BTech (Mechanical Production Software IT Electronics/Electrical)
- Data Scientist Program
- Experience : 25 years
- Data Scientist Masters Program from a recognized university preferable
Additional Information :
Knowledge / Functional Skills
- Hands on coding knowledge on languages: C C R Python Java
- Knowledge and experience in statistical and data mining techniques: GLM/Regression Random Forest Boosting Trees text mining social network analysis etc
- Experience in visualizing/presenting data for stakeholders: Power BI Tableau Power Point.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
