2 – 6 years

Job description

• Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets
• Candidates should have experience in manipulating both structured and unstructured data in various formats, sizes, and storage-mechanisms
• Candidates should have excellent problem-solving skills with an inquisitive mind to challenge existing practices
• Candidates should have exposure to multiple programming languages and analytical tools and be flexible to using the requisite tools/languages for the problem at-hand
• BE, B.Tech, M.S. or Ph.D. 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, SAS
• 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
• Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem
• Excellent problem solving, communication, and data presentation skills
• 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
• 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
• Package and present the findings and communicate with large cross-functional teams