Senior Applied Scientist, International Seller Services
ADCI HYD 13 SEZ•2h ago
IN, TS, HyderabadOnsiteFull-timeSenior Level3+ yrs exp
Top focus
Applied Scientist
- At Amazon, we strive to be Earth's most customer-centric company
- customers can find and discover anything they want to buy online. Our mission in International Seller Services (ISS) is to provide technology solutions for improving the seller and customer experience, drive seller compliance, maximize seller success
- improve internal workforce productivity. Team's main focus is to build products that are scalable across different regions of the world
- working in partnership with ISS regional stakeholders and multiple partner teams across Amazon. As an Applied Scientist, you will be responsible for modeling complex problems, discovering insights
- building risk algorithms that identify opportunities through statistical models, machine learning
- visualization techniques to improve operational efficiency. As an Applied Scientist, you will leverage your expertise in Machine Learning, Natural Language Processing (NLP)
- Large Language Models (LLM) to develop innovative solutions for Amazon's ISS team. You'll be responsible for modeling complex problems, building innovative algorithms
- discovering actionable insights through statistical models and visualization techniques to enhance operational efficiency in the e-commerce space. The role combines usage of latest AI technology with practical business applications, requiring someone passionate about transforming the way we interact with technology while delivering measurable impact through advanced analytics and machine learning solutions. You will need to collaborate effectively with business and product leaders within ISS and cross-functional teams to build scalable solutions against high organizational standards. The candidate should be able to apply a breadth of tools, data sources
- Data Science techniques to answer a wide range of high-impact business questions and proactively present new insights in concise and effective manner. The candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Responsibilities: - Analyze terabytes of data to define and deliver on complex analytical deep dives to unlock insights and build scalable solutions through science to ensure security of Amazon’s platform and transactions Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation
- cross-lingual alignment/mapping Define and conduct experiments to validate/reject hypotheses
- communicate insights and recommendations to Product and Tech teams Develop efficient data querying infrastructure for both offline and online use cases Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes Learn and understand a broad range of Amazon’s data resources and know when, how
- which to use and which not to use. Maintain technical document and communicate results to diverse audiences with effective writing, visualizations
- presentations Key job responsibilities
- You will extract huge volumes of data from various sources and construct complex analyses.
- You should be detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion
- You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions. You own customer relationship about data and execute tasks that are manifestations of such ownership, like ensuring high data availability, low latency, documenting data details and transformations and handling user notifications and training
- You will work with distributed machine learning and statistical algorithms upon a large Hadoop cluster to harness enormous volumes at scale to serve our customers
- 3+ years of building machine learning models for business application experience - PhD
- Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - 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. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Required skills
Machine LearningNatural Language ProcessingLarge Language ModelsPythonJavaC++Rscikit-learnSpark MLLibMxNetTensorflownumpyscipyHadoopSpark