Job Description

The role will be in one of the different teams in GDI&A(Manufacturing Analytics).




Potential candidates should possess a strong analytical mindset and be very comfortable with processing and manipulating large data sets in various formats.


Hands-on Expertise in Python programming and experience in handling various data science libraries (Pandas, Numpy, Scipy) would be a necessary requirement


Familiarity with analytics methods (descriptive/predictive/prescriptive) and Business Intelligence tools (Python-Matplotlib, PowerBI, QlikSense) would be a definite plus.


Exposure to Cloud technologies (e.g., Google Cloud), including executing Machine Learning algorithms on Cloud would be definite plus.




Candidates should display interest and initiative in translating a business problem into an analytical problem and determining the appropriate analytical methods to be used.



Candidates should have


BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field Minimum of 2+ years' experience in Python programming language 2+ years of hands-on experience in using machine learning & Business Intelligence tools and techniques such as Machine Learning (Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms), Business Intelligence (Power BI, Engineer KPIs, Tableau, Qliksense) Experience with Google Cloud Platform (GCP) / other Cloud platforms including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem

The role will be in one of the different teams in GDI&A(Manufacturing Analytics).




Potential candidates should possess a strong analytical mindset and be very comfortable with processing and manipulating large data sets in various formats.


Hands-on Expertise in Python programming and experience in handling various data science libraries (Pandas, Numpy, Scipy) would be a necessary requirement


Familiarity with analytics methods (descriptive/predictive/prescriptive) and Business Intelligence tools (Python-Matplotlib, PowerBI, QlikSense) would be a definite plus.


Exposure to Cloud technologies (e.g., Google Cloud), including executing Machine Learning algorithms on Cloud would be definite plus.




Candidates should display interest and initiative in translating a business problem into an analytical problem and determining the appropriate analytical methods to be used.