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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Applied Scientist, Amazon Leo Data Science Platform - **Company:** Amazon.com, Inc. - **Location:** Redmond, WA, United States - **Experience:** Expert - **Salary:** $167,100.0 - $226,100.0 - **Contract:** Permanent contract - **Skills:** Mxnet, Java (Programming Language), Data Analysis, Big Data, Business Software, C++ (Programming Language), Data Infrastructure, Data Mining, Distributed Systems, Fraud Prevention and Detection, R (Programming Language), Apache Hadoop, Python (Programming Language), Machine Learning, NumPy, Software Tools, Tensorflow, SciPy, Apache Spark, Deep Learning, Spark Mllib, Scikit Learn, Build Tools - **Published:** July 22, 2026 - **Apply:** https://dejobs.org/x/x/84797E494DD449B0991D177533AA4879/job/ ## About the Role * 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 language * Experience with neural deep learning methods and machine learning Preferred Qualifications * 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. ## Description As a Senior Applied Scientist in Project Leo, you'll be leading us in making critical and time sensitive decisions that impact customers. You'll use your machine learning expertise to build solutions that can scale and solve the business problem, and your engineering experience to build systems that take those solutions to production; it's an exciting opportunity to apply data science to help improve fraud detection accuracy, inference, and customer experience monitoring activity. It's fast paced, data driven, and impactful. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Key job responsibilities The position requires hands-on expertise in Analytics to identify and isolate issues, Statistical Modeling and traditional Machine Learning, the ability to write queries to aid in data extraction, and the ability to productionalize models. This role is a self sufficient scientist that can source data, build and evaluate models, and ultimately take those models and rules to deployment. You should have excellent communication skills and be able to work with stakeholders at all levels. Above all you should be a passionate, hard-working and creative person who loves creating business impact, loves solving difficult problems and doesn't mind getting involved in the details. A day in the life As part of the Amazon Leo Data Science Platform team, you will collaborate with a diverse group of internal stakeholders, including fraud operations, Engineering teams, and the Data Platform, to identify and address fraud vulnerabilities. You will have the opportunity to develop rules and ML models to prevent Customer Terminal (CT) usage fraud and abuse. Your role will also allow you to leverage your customer-obsession skills by thoughtfully considering the user experience and ensuring it is not adversely affected by the mechanisms you design. If you are passionate about working with large-scale data, we offer ample opportunities to do so. About the team The Amazon Leo Data Science Platform team builds services to ingest, transform, and aggregate data from various devices in Leo Network, and auto detect, diagnose, and resolve issues. We use ML technology to monitor customer experience and prevent fraud and abuse. ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Vectorize all the things! 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