Description: Are you passionate about solving complex classification challenges at massive scale? We are seeking a Data Science Manager to join our ASIN Classification team within WAVE (World Wide AI Enablement). In this high-impact role, you will lead a team of scientists and engineers to architect, deploy, and operationalize advanced machine learning models that drive ASIN classification across a range of compliance programs. From supervised and unsupervised ML approaches to Large Language Models and Small Language Models, you will guide your team in harnessing state-of-the-art techniques to deliver accurate, scalable classification solutions for millions of ASINs. Key job responsibilities
- Lead and manage a team of Applied Scientists, Data Scientists, and Engineers, fostering a culture of innovation, scientific rigor, and operational excellence
- Define the team's science roadmap and prioritize classification initiatives across compliance programs
- Own end-to-end delivery of classification solutions from problem framing and data strategy through model deployment and production monitoring
- Drive architecture decisions including model selection, feature engineering from product catalogs, and evaluation metric frameworks
- Translate ambiguous, large-scale compliance challenges into well-scoped data science and ML workstreams
- Collaborate with business teams to convert business requirements into scalable ML solutions
- Establish and monitor classification metrics, model performance KPIs, and production health dashboards to ensure continuous improvement
- Partner cross-functionally with Science, Engineering, Product, and Operations teams to align science investments with business priorities
- Build scalable data environments and ML pipelines to support model training, evaluation, shadow testing, and production inference at scale
- Mentor and develop team members through career coaching, technical guidance, and structured growth plans
- Communicate complex technical concepts effectively to non-technical stakeholders and senior leadership
- Drive operational rigor ensuring zero-disruption deployments, data quality standards, and robust experimentation practices
- Stay current with latest research, publications, and application of techniques to production systems Basic Qualifications - Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or PhD - 8+ years of experience in data science or applied machine learning, with 3+ years in a people management role - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques - Proven track record of leading teams that deliver ML solutions at scale in production environments - Strong programming proficiency in Python and SQL, with familiarity with big data technologies (Spark, AWS services) - Experience with multi-modal learning (text, image, structured data) Preferred Qualifications - Familiarity with compliance and regulatory classification frameworks (e.g., HS codes, hazmat classification, product safety) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. 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.
