Data Scientist for International Business Optimization
4 days ago
This role is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. We are committed to providing an equitable and inclusive work environment.
Estimated salary: $150,000 - $200,000 per annum
About UsAmazon is an innovative company that uses machine learning and statistical techniques to create state-of-the-art solutions for providing better value to its customers. We are looking for a highly skilled Data Scientist to join our Machine Learning and Data Sciences team in India.
Job DescriptionWe are seeking a talented Data Scientist to work on optimizing business processes using machine learning and analytical techniques. The successful candidate will analyze large amounts of historical business data to automate and optimize key processes, design and develop predictive models, and research and implement novel machine learning approaches.
Responsibilities- Use machine learning and analytical techniques to create 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, development, evaluation, and deployment of innovative and highly scalable models for predictive learning
- Research and implement novel machine learning and statistical approaches
- Work closely with software engineering teams to drive real-time model implementations and new feature creations
- Work closely with business owners and operations staff to optimize various business operations
- Establish scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation
- 3+ years of building machine learning models for business application experience
- PhD or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related languages
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large-scale distributed systems such as Hadoop, Spark etc.
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