IN_RBIN_Assistant Manager/Senior Engineer_Data Scientist

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.

KPI: 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.

KPI: 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

KPI:No of projects

Collaboration:

Collaborate effectively with cross-functional teams, external partners, Lead Plant and Expert members in other plant for New technology for vendors Relationship management & Value streams for delivering digital solutions.

Qualifications

BE/BTech (Software, IT, Electronics/Electrical , Data Scientist Program AI , ML

2-4 years in manufacturing industry as data analyst , data scientist

Additional Information

Knowledge :

• 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.

Functional Skills:

Data Scientist Masters Program from a recognized university