Applied Scientist, AWS Product Analytics & Data Science (PANDAS)

World's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuous innovation.
$129,400 - $212,800
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Cloud

Description For Applied Scientist, AWS Product Analytics & Data Science (PANDAS)

AWS Product Analytics and Data Science (PANDAS) team is revolutionizing how internal product teams interact with data through cutting-edge AI/ML technology. As an Applied Scientist, you'll be at the forefront of transforming millions of customers' experiences using artificial intelligence and machine learning. The role involves working with state-of-the-art technologies including Gen AI, graph neural networks, reinforcement learning, and forecasting models to build scalable ML products.

You'll collaborate with scientists, data engineers, product managers, and business leaders to influence both technical and business strategies. The position offers an opportunity to work on high-impact projects that directly influence AWS's top and bottom line, while helping to democratize ML capabilities across AWS product teams.

The team specializes in the full end-to-end ML development process, supporting AWS EC2, Database & Analytics, and S3 teams. You'll be part of a diverse team with backgrounds in statistics, computer science, engineering, and business analytics. The role offers significant growth potential and the chance to contribute to groundbreaking ML solutions at scale.

AWS values diverse experiences and maintains an inclusive culture through employee-led affinity groups and ongoing learning experiences. The company emphasizes work-life harmony and provides comprehensive benefits including medical, financial, and equity compensation. This is an opportunity to join the world's leading cloud platform provider and shape the future of cloud computing through innovative ML solutions.

Last updated a day ago

Responsibilities For Applied Scientist, AWS Product Analytics & Data Science (PANDAS)

  • Utilize state-of-the-art machine learning and deep learning techniques to develop predictive models
  • Conduct comprehensive data analyses to extract insights and patterns
  • Design, develop, and evaluate innovative models for predictive learning
  • Establish scalable, automated processes for large scale data analyses
  • Monitor and assess model performance and implement continuous improvements
  • Work cross-functionally with engineering teams to implement models in production
  • Research and implement novel machine learning approaches

Requirements For Applied Scientist, AWS Product Analytics & Data Science (PANDAS)

Python
Java
  • Experience programming in Java, C++, Python or related language
  • Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
  • Experience implementing algorithms using both toolkits and self-developed code

Benefits For Applied Scientist, AWS Product Analytics & Data Science (PANDAS)

Medical Insurance
Equity
Mental Health Assistance
  • Medical, financial, and other benefits
  • Equity compensation
  • Sign-on payments
  • Mentorship and career growth opportunities
  • Work-life harmony
  • Inclusive team culture

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