Applied Scientist 1
Amazon
Applied Scientist 1
Amazon
Sells products online and rents cloud computing
Do you want to join an innovative team applying machine learning and advanced statistical techniques to protect Amazon customers and enable a trusted eCommerce experience?
Are you excited about working with large-scale datasets and developing models that solve real-world fraud and risk challenges?
If so, the Amazon Buyer Risk Prevention (BRP) Machine Learning team may be the right fit for you. We are seeking an Applied Scientist to help develop scalable machine learning solutions that safeguard millions of transactions every day.
In this role, you will partner with senior scientists and engineers to translate business problems into data-driven solutions, build and evaluate models, and contribute to next-generation risk prevention systems, including applications of Generative AI and LLM technologies.
Key job responsibilities
Apply machine learning and statistical techniques to build and improve risk management models
Analyze large-scale historical data to identify risk patterns and emerging trends
Develop, validate, and deploy innovative models under the guidance of senior scientists
Experiment with emerging technologies, including GenAI/LLMs, to enhance automation and risk evaluation
Collaborate closely with software engineers to implement models in real-time production systems
Partner with operations and business teams to improve risk policies and operational efficiency
Build scalable, automated pipelines for data analysis, model training, and validation
Monitor model performance and provide clear reporting on key risk and business metrics
Research and prototype new modeling approaches to improve system performance
- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
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.
Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.
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