Senior Scientist/NLP/Machine Learning/Data Mining Professional
4 weeks ago
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
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