onsite
Senior Data Scientist, Companion Products & Services - Amazon
Data Scientist
Senior Data Scientist driving AI‑powered pricing, marketing and consumer insights for Amazon's Companion Products & Services, building scalable ML models and decision tools using Python, AWS and advanced statistical techniques.
About the role
Key Responsibilities
- Design, develop, and deploy large‑scale machine learning models to optimize pricing, targeting, and segmentation across accessories, pre‑owned, and trade‑in product lines.
- Collaborate with product, marketing, and finance teams to translate business problems into data‑driven solutions and actionable insights.
- Build automated AI‑powered decision tools and dashboards that enable real‑time experimentation and rapid iteration.
- Conduct rigorous statistical analysis, A/B testing, and causal inference to validate model impact and guide strategy.
- Mentor junior data scientists and promote best practices in code quality, reproducibility, and model governance.
Requirements
- 5+ years of experience applying machine learning and statistical modeling to large, complex datasets, preferably in e‑commerce or retail.
- Proficiency in Python (pandas, scikit‑learn, PyTorch/TensorFlow) and strong SQL querying skills.
- Hands‑on experience with AWS services such as SageMaker, EMR, Redshift, and Lambda for model training, deployment, and scaling.
- Demonstrated ability to communicate technical findings to non‑technical stakeholders and influence product decisions.
- Advanced degree (MS or PhD) in Computer Science, Statistics, Applied Mathematics, or a related quantitative field.
Skills
pythonmachine learningsqlaws