Amazon Development Center U.S., Inc.
Technology
DataScientistII
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist II at Amazon Development Center U.S., Inc.. Skills: Data Science, Machine Learning, Business Intelligence. Develop and deploy machine learning models. Build and maintain data pipelines”
Industry & Context.
Analytical skills; Problem-solving
What They're Looking For.
Must Have
5+ years of experience in data science or analytics, Proficiency in SQL, Bachelor's degree in a quantitative field
Nice to Have
Master's degree or PhD preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification
What You'll Do.
Develop and deploy machine learning models
Build and maintain data pipelines
Design and implement BI solutions
Perform quantitative analysis
Collaborate with stakeholders to define data requirements
Ensure data quality and integrity
Stay updated on industry trends and best practices
How You'll Work.
Team & Collaboration
Cross-functional teams; Data engineering teams; Analytics teams; Product teams; Engineering teams
Full Job Description
Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their data and knowledge. Combining generative AI-powered search, deep research capabilities, intelligent agents and automations, and comprehensive business intelligence, Quick Suite serves tens of thousands of users. Our platform processes thousands of queries monthly, helping teams make faster, data-driven decisions while maintaining enterprise-grade security and governance. From natural language interactions with complex datasets to automated workflows and custom AI agents, Quick Suite is redefining workplace productivity at unprecedented scale. We are seeking a Data Scientist II to join our Quick Data team, focusing on evaluation and benchmarking data development for Quick Suite features, with particular emphasis on Research and other generative AI capabilities. Our mission is to engineer high-quality datasets that are essential to the success of Amazon Quick Suite. From human evaluations and Responsible AI safeguards to Retrieval-Augmented Generation and beyond, our work ensures that Generative AI is enterprise-ready, safe, and effective for users at scale. As part of our diverse team—including data scientists, engineers, language engineers, linguists, and program managers—you will collaborate closely with science, engineering, and product teams. We are driven by customer obsession and a commitment to excellence. Key job responsibilities In this role, you will leverage data-centric AI principles to assess the impact of data on model performance and the broader machine learning pipeline. You will apply Generative AI techniques to evaluate how well our data represents human language and conduct experiments to measure downstream interactions. Specific responsibilities include: * Design and develop comprehensive evaluation and benchmarking datasets for Quick Suite AI-powered features * Leverage LLMs for synthetic data corpora generation; data evaluation and quality assessmen
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