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Sr. Applied Scientist, AWS Support

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Amazon

Today

  • Job
    Full-time
    Senior Level
  • Data
    Software Engineering
  • Cape Town

AI generated summary

  • You need 6+ years in machine learning models, a PhD or Master’s with 6+ years of research, programming in Java/C++/Python, experience with neural methods, modeling tools, and large-scale systems.
  • You will analyze support data, develop scalable ML solutions, drive collaborative research, validate models, and optimize case routing through real-world production systems at AWS scale.

Requirements

  • 6+ years of building machine learning models or developing algorithms for business application experience
  • PhD, or Master's degree and 6+ years of applied research experience
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning
  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
  • Experience with large scale distributed systems such as Hadoop, Spark etc.

Responsibilities

  • Deliver real world production systems at AWS scale.
  • Work closely with the business to understand the problem space, identify the opportunities and formulate the problems.
  • Use machine learning, data mining, statistical techniques, Generative AI and others to create actionable, meaningful, and scalable solutions for the business problems.
  • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
  • Analyze complex support case datasets and metrics to drive insight.
  • Design, build, and deploy effective and innovative ML solutions to optimize case routing.
  • Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production.
  • Drive collaborative research and creative problem solving across science and software engineering team.
  • Propose and validate hypothesis to deliver and direct our product road map.
  • Work with engineers to deliver low latency model predictions to production.

FAQs

What qualifications are required for the Sr. Applied Scientist position?

The position requires a PhD or Master's degree accompanied by 6+ years of applied research experience, and at least 6 years of experience in building machine learning models or developing algorithms for business applications.

What programming languages are preferred for this role?

Experience in Java, C++, Python, or related languages is preferred for this role.

What kind of machine learning techniques should I be familiar with?

Familiarity with neural deep learning methods and general machine learning techniques is necessary for this position.

What type of projects will I work on as a Sr. Applied Scientist?

You will help build next-generation case routing systems using artificial intelligence, develop machine learning models and pipelines, and deliver automated insights to improve case routing.

Will I be required to analyze complex datasets?

Yes, you will analyze complex support case datasets and metrics to drive insights for optimizing case routing and business metrics.

What qualities are you looking for in a candidate for this role?

We seek a pragmatic technical leader who is comfortable with ambiguity and can summarize complex data and models through clear visual and written explanations.

What kind of team will I be working with?

You will work as part of a new team in AWS' Kumo organization, which consists of software engineers and AI/ML experts.

Is there a mentoring or career growth program available?

Yes, we offer extensive knowledge-sharing, mentorship, and various career-advancing resources to help you develop into a better-rounded professional.

How does AWS foster an inclusive team culture?

AWS fosters an inclusive culture through employee-led affinity groups, ongoing learning experiences, and events celebrating diversity, ensuring everyone can embrace their uniqueness.

Are accommodations available during the interview process?

Yes, we offer accommodation options during the interview and onboarding process; you can contact your recruiter for assistance.

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Amazon

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.