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Data Scientist for AI Innovation

2 months ago

Santa Clara, California, United States Amazon Full time
Unlocking Analytics Excellence at Amazon

A rewarding opportunity awaits an accomplished Data Scientist to join our analytics science team at Amazon. As a pioneering force in cloud computing, we strive to deliver transformative experiences through innovative applications of generative AI, machine learning, and program analysis.

About the Role

We seek a talented individual with expertise in machine learning, programming languages, or databases to contribute to the development of industry-leading analytics services. Your responsibilities will include designing and building agent-based solutions that simplify AWS customers' analytics journey and optimize their cost-performance profile.

Key Responsibilities
  • Collaborate with cross-functional teams to drive scientific impact and launch your work in production at Amazon scale.
  • Partner with engineering teams to onboard science work and ensure seamless integration.
  • Prepare, publish, and present scientific work at top-tier venues, evangelizing its value within the company.
What We Offer

As part of our inclusive team culture, you'll have access to ongoing events, learning experiences, and mentorship opportunities to foster your growth. Enjoy flexibility and work-life harmony as you strive for excellence in your role.

Requirements
  • PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field.
  • Experience programming in Java, C++, Python, or related language.
  • Background in machine learning, generative AI, or natural language processing (preferred).

We estimate the salary for this position to be around $160,000 - $200,000 per year, based on industry standards and Amazon's typical compensation packages.

About Us

Amazon is committed to fostering a diverse and inclusive workplace where every individual can thrive. Join us in shaping the future of analytics and innovation.