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Manager, Data Science

Amazon
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LUXPosted 4mo ago

About the role

Data Science Manager leading ASIN Classification team within WAVE (World Wide AI Enablement) to architect, deploy, and operationalize ML models for ASIN classification across compliance programs at scale.

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

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)

Skills

Required:Team leadership and people managementMachine learning and LLM fundamentalsPythonSQLBig data technologies (Spark, AWS services)
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

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