Senior Scientist/NLP/Machine Learning/Data Mining Professional (2-10 yrs)

Major responsibilities:

- Use statistics, NLP and machine learning techniques to create scalable solutions for business problems

- Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes

- Design, experiment and evaluate highly innovative models for predictive learning

- Work closely with software engineering teams to drive real-time model experiments, implementations and new feature creations

- Work closely with operations staff to optimize various business operations

- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation

- Track general business activity and provide clear, compelling management reporting on a regular basis

- Research and implement novel machine learning and statistical approaches

Basic Qualifications:

- A MS in CS Machine Learning/NLP, Statistics, Operational Research or in a highly quantitative field

- 3+ years of hands-on experience in predictive modeling and large data analysis

- 3+ years of experience using R/SAS and SQL in a Linux/UNIX environment

- 3+ years of experience with Python

- Strong communication and data presentation skills

- Strong problem solving ability

Preferred Qualifications:

- A PhD in CS Machine Learning/NLP, Statistics, Operational Research or in a highly quantitative field

- 5+ years of industry experience in predictive modeling and large data analysis

- Strong skills with Python and Java/C++

- 1+ year distributed programming experience

Machine Learning Scientist

Major 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

Basic Qualifications

- An MS/PhD in CS, Machine Learning, Operational research, Statistics or in a highly quantitative field. PhD strongly preferred.

- 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

Preferred Qualifications :

- 2-10 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