Amazon.com Services LLC
E-Commerce
AppliedScientistII,AmazonSellingPartnerTrust&StoreIntegrityScience
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optimal for Mid candidates.
“Applied Scientist II, Amazon Selling Partner Trust & Store Integrity Science at Amazon.com Services LLC. Skills: Data science, Machine learning, Data engineering, Business intelligence. Design and implement scalable machine learning models. Develop and maintain data pipelines”
Industry & Context.
Root cause analysis; Analytical thinking
What They're Looking For.
Must Have
3+ years of experience, Master's degree in Statistics, Computer Science, Mathematics, or related quantitative field, Proficiency in SQL, Experience with Python or R
Nice to Have
PhD preferred, Experience with scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM, Experience with AWS, GCP, or Azure cloud platforms, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification
What You'll Do.
Design and implement scalable machine learning models
Develop and maintain data pipelines
Perform statistical analysis and A/B testing
Build and deploy BI dashboards
Collaborate with engineering teams
Communicate findings to stakeholders
How You'll Work.
Team & Collaboration
Cross-functional teams; Stakeholders
Full Job Description
Are you passionate about applying machine learning and advanced statistical techniques at the scale of one of the world's larges product catalogs? Do you want to be at the forefront of developing innovative solutions that safeguard Amazon's product catalog while empowering millions of Selling Partners to thrive? Do you thrive in a collaborative environment where diverse perspectives drive breakthrough solutions? If yes, we invite you to join the Amazon Risk Intelligence Science Team. We're seeking an exceptional scientist who can revolutionize how we protect our marketplace through intelligent automation. As a key member of our team, you'll develop and deploy state-of-the-art machine learning systems that analyze millions of product listings daily, ensuring the integrity and trustworthiness of Amazon's catalog while scaling our operations to new heights. Your work will directly impact the quality of the shopping experience for hundreds of millions of customers worldwide. Key job responsibilities Use machine learning and statistical techniques to create scalable catalog abuse detection solutions that identify listing violations, selling partner integrity, and content manipulation Innovate with the latest GenAI technology to build highly automated solutions for efficient catalog monitoring, content verification, and automated listing compliance Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment Learn, explore and experiment with the latest machine learning advancements to protect selling partner trust and integrity A day in the life You'll be working closely with business partners and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems. You will build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation. You will also be providing clear and compelling reports for your solutions a
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