Data Science Manager – ASIN Classification

About the role

We are looking for a Data Science Manager to lead the ASIN Classification team within WAVE (World Wide AI Enablement). You will guide a multidisciplinary group of applied scientists, data scientists, and engineers to build and operationalize large‑scale machine‑learning solutions that power compliance programs across millions of products.

Key responsibilities

• Lead and mentor a team of applied scientists, data scientists, and engineers, fostering a culture of innovation and scientific rigor.
• Define the science roadmap, prioritize classification initiatives, and own end‑to‑end delivery from problem framing to production monitoring.
• Make architecture decisions on model selection, feature engineering from product catalogs, and evaluation metric frameworks.
• Translate ambiguous compliance challenges into well‑scoped ML workstreams and collaborate with business stakeholders to turn requirements into scalable solutions.
• Establish and monitor classification metrics, KPIs, and production health dashboards for continuous improvement.
• Partner with Science, Engineering, Product, and Operations teams to align investments with business priorities.
• Build scalable data environments and ML pipelines for training, evaluation, shadow testing, and inference at scale.
• Ensure zero‑disruption deployments, data‑quality standards, and robust experimentation practices.

Required profile

• Master’s degree in Computer Science, Mathematics, Statistics, Machine Learning or a related quantitative field (PhD preferred).
• 8+ years of experience in data science or applied machine learning, with at least 3 years in a people‑management role.
• Deep knowledge of machine‑learning and LLM fundamentals, including transformer architectures, training/inference lifecycles, and optimization techniques.
• Proven track record delivering ML solutions at scale in production environments.
• Strong programming skills in Python and SQL, and familiarity with big‑data technologies such as Spark and AWS services.
• Experience with multi‑modal learning (text, image, structured data).

Required skills

• Python
• SQL
• Apache Spark
• AWS services (e.g., S3, SageMaker, EC2)
• Transformer and LLM architectures
• Multi‑modal learning techniques

What we offer

• Opportunity to lead high‑impact AI projects at massive scale.
• Collaborative environment with cross‑functional teams.
• Access to cutting‑edge research and production resources.