Data Science (Multiple Open Positions) - Amazon Careers cover image
Full TimeExternal listing

Data Science (Multiple Open Positions) - Amazon Careers

AmazonData Science (Cross-Functional)Global (Remote, Hybrid, and In-Office at Major Amazon Hubs Worldwide)Posted August 13, 2026

About this role

Amazon is hiring for over 150 open Data Science positions across its global business units, including Amazon Web Services (AWS), consumer retail, advertising, and logistics teams. In these roles, you will work on high-impact, cross-functional projects that power core Amazon products and services, from personalized customer recommendations to supply chain optimization and machine learning model deployment. You will collaborate with engineering, product, and business stakeholders to design, build, and iterate on data-driven solutions, develop new analytical tools, and scale machine learning systems that serve millions of customers worldwide. Amazon Data Science team members have the opportunity to work with petabyte-scale datasets, cutting-edge ML frameworks, and cloud infrastructure, while contributing to innovative projects that shape the future of e-commerce, cloud computing, and digital services. The roles offer flexible work arrangements, including remote, hybrid, and in-office options at Amazon offices across the globe, with competitive compensation, comprehensive benefits, and opportunities for professional growth and upskilling.

Requirements

  • Bachelor’s or advanced degree (Master’s/PhD preferred) in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field
  • 2+ years of professional experience in data analysis, statistical modeling, or machine learning (experience requirements vary by role level)
  • Proficiency in at least one data-focused programming language (Python, R, or Scala) and strong SQL skills for data querying and manipulation
  • Hands-on experience building, training, and deploying machine learning models for real-world use cases
  • Strong problem-solving skills and ability to translate technical insights for non-technical stakeholders
  • Experience with big data tools (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS) is a plus
  • Ability to thrive in a fast-paced, collaborative, and customer-obsessed work environment

Quick Info

Employment Type

Full Time

Location

Global (Remote, Hybrid, and In-Office at Major Amazon Hubs Worldwide)

Department

Data Science (Cross-Functional)

Apply on company site

You'll leave Agentic Academy to apply on the employer's site. We curate these listings for visibility only.