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 field3+ years of hands-on experience in predictive modeling and large data analysis3+ years of experience using R / SAS and SQL in a Linux / UNIX environment3+ years of experience with PythonStrong communication and data presentation skillsStrong problem solving abilityPreferred Qualifications :
A PhD in CS Machine Learning / NLP, Statistics, Operational Research or in a highly quantitative field5+ years of industry experience in predictive modeling and large data analysisStrong skills with Python and Java / C++1+ year distributed programming experienceMachine Learning Scientist
Major responsibilities :
Use machine learning, data mining and statistical techniques to create new, scalable solutions for business problemsAnalyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processesDesign, develop and evaluate highly innovative models for predictive learningEstablish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationResearch and implement novel machine learning and statistical approachesBasic 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 developmentStrong Problem solving abilityGood skills with Java or C++, Perl / Python (or similar scripting language)Experience in using R, Matlab, or any other statistical softwareExperience in mentoring junior team members, and guiding them on machine learning and data modeling applicationsStrong communication and data presentation skillsPreferred Qualifications :
2-10 years of industrial experience in predictive modeling and analysis, predictive software developmentExperience handling gigabyte and terabyte size datasetsExperience working with retail or e-commerce dataExperience working with distributed systems and grid computingPublications or presentation in recognized Machine Learning and Data Mining journals / conferences(ref : hirist.tech)