Data Scientist

Year Chennai, Tamil Nadu, India

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Key Roles and Responsibilities of Position:

Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats
Establish scalable, efficient, automated processes for large scale data analyses
Build data-driven models to understand the characteristics of engineering systems
Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems
Train, tune, validate, and monitor predictive models Package and present the findings and communicate with large cross-functional teams

Qualifications:

Bachelor\xe2\x80\x99s /Master\xe2\x80\x99s/ PhD in engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field
3+ years of experience in at least one of the following languages: Python, R, MATLAB
Hands-on experience in connected vehicle data and GCP suite of tools
Experience working on Large Language Models (LLM)
3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms

Excellent problem solving, communication, and data presentation skills

Bachelor\xe2\x80\x99s /Master\xe2\x80\x99s/ PhD in engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field
3+ years of experience in at least one of the following languages: Python, R
Hands-on experience in connected vehicle data and GCP suite of tools
3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms
Excellent problem solving, communication, and data presentation skills

Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats
Establish scalable, efficient, automated processes for large scale data analyses
Build data-driven models to understand the characteristics of engineering systems
Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems
Train, tune, validate, and monitor predictive models
Package and present the findings and communicate with large cross-functional teams

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