AI Jobs

This role involves analyzing data and building statistical models to support Amazon Business's new business and new seller initiatives, while collaborating with cross-functional teams to translate business questions into actionable insights. Key skills include proficiency in Python, SQL, R, machine learning, statistical analysis, data modeling, and benchmarking to ensure data quality and infrastructure development.

This role involves analyzing historical data for trends and applying statistical and machine learning methods to solve complex business problems through experimentation and system optimization. Required skills include proficiency in Python, R, SQL, and statistical analysis, with expertise in experiment design and machine learning methodologies.

This role involves designing and managing enterprise data models while collaborating with stakeholders on data strategy and ensuring compliance with governance standards. Required expertise includes data modeling methodologies (Data Vault 2.0, Kimball, Inmon), orchestration tools (Apache Airflow, DBT), cloud platforms (Snowflake), and modern data stack practices (ELT/ETL, CI/CD).

This role involves leading data transformation programs, designing data operating models, and developing data strategies while integrating generative AI into business models for enterprise clients. Key skills include business analytics, data management, consulting expertise, and the ability to mentor teams while maintaining stakeholder relationships.

This role involves analyzing structured and unstructured data to build predictive models, design experiments, and develop real-time alerts that improve recommendation and personalization systems. Key skills include statistical modeling, A/B testing, data pipeline development, and the ability to translate complex analyses into executive insights.

This role involves analyzing structured and unstructured data to build statistical models and algorithms while leading data science initiatives and translating business problems into actionable insights. The consultant will leverage expertise in machine learning, NLP, LLMs, cloud platforms (AWS, Azure, GCP), and data visualization tools to drive data-driven strategies.

This role involves building and deploying data and AI applications while leading data engineering teams and coordinating customer engagements for big data projects. Key skills include data architecture, Apache Spark, Databricks, cloud platforms (AWS/Azure/GCP), and technical consulting.

This role involves working directly with customers on high-impact data science and AI deployment problems, building production tools including evaluation explorers, operator workflows, and decision-support systems. The ideal candidate excels at first-principles problem solving, experimental design, rigorous measurement, and technical execution using Python, SQL, and modern AI-assisted development tools.