
Analytics Modeler
5 days ago
**Qualifications**:
- Bachelor’s or Master’s or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field
- 5+ years of experience in at least one of the following languages: Python, R, MATLAB, SAS
- 5+ years of hands-on experience in using machine learning/text mining tools and techniques such as regression, clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms
- Experience with NoSQL database and Hadoop Ecosystem (preferred)
Excellent problem solving, communication, and data presentation skills
**Key Roles and Responsibilities of Position**:
- Build data-driven models to understand the characteristics of engineering systems
- 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
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