Job Description
- An MS/PhD in CS, Machine Learning, Operational research, Statistics or in a highly quantitative field. PhD strongly preferred.
- 10+ years of industrial experience in predictive modeling and analysis, predictive software development
- Strong Problem solving ability
- Good skills with Java or C++, Perl/Python (or similar scripting language)
- Experience in using R, Matlab, or any other statistical software
- Experience in mentoring junior team members, and guiding them on machine learning and data modeling applications
- Strong communication and data presentation skills
- 10+ years of industrial experience in predictive modeling and analysis, predictive software development
- Experience handling gigabyte and terabyte size datasets
- Experience working with retail or e-commerce data
- Experience working with distributed systems and grid computing
- Publications or presentation in recognized Machine Learning and Data Mining journals/conferences
Job Responsibilities
- Use machine learning, data mining and statistical techniques to create new, scalable solutions for business problems
- Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes
- Design, develop and evaluate highly innovative models for predictive learning
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Research and implement novel machine learning and statistical approaches
Location
Bengaluru, Karnataka, India