Data Scientist

7 months ago

Chennai Tamil Nadu, India Ford Motor Company Full time

**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
- Train, tune, validate, and monitor predictive models Package and present the findings and communicate with large cross-functional teams**Qualifications**:

- Bachelor’s /Master’s/ 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’s /Master’s/ 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
- Train, tune, validate, and monitor predictive models
- Package and present the findings and communicate with large cross-functional teams

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