The Global Data Insights and Analytics (GDI&A) department - looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics.
- Potential candidates should have hands-on experience in applying 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.
Key Roles and Responsibilities of Position :
- 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, 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
Qualifications :
- M.S. or Ph.D. in Computer Science, Operational research, Statistics, Applied mathematics, or in a related field
- Experience with NoSQL database and Hadoop Ecosystem
- Good exposure to 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
- Knowledge of Spark, MLlib, Graph databases is a Big Plus
- Familiarity with any one programming (e.g., C/C++/Java) or scripting (R/Python) languages
- Excellent problem solving, communication, and data presentation skills
- Engineering or manufacturing or automotive background preferred
- Experience in product and sustainability analytics is a big plus.
Sneha
9844316552
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