Amazon.com Services LLC

Healthcare

AppliedScientistII,SpecialProjects

$136–223k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Applied Scientist II, Special Projects at Amazon.com Services LLC. Skills: AI/ML, Data science, Healthcare. Design novel AI/ML solutions. Implement novel AI/ML solutions”

What You'll Achieve.

Transform healthcare outcomes

Industry & Context.

Healthcare
Problems you'll solve

Solve real-world problems

What They're Looking For.

Must Have

3+ years of building models, PhD or Master's degree, 4+ years CS, CE, ML experience, Experience in patents or publications, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing

Nice to Have

Experience using Unix/Linux

What You'll Do.

Design novel AI/ML solutions

Implement novel AI/ML solutions

Drive advancements in machine learning

Drive advancements in data science

Balance theoretical knowledge

Balance practical implementation

Work closely with customers

Work closely with partners

Understand customer requirements

Understand partner requirements

Create clarity in early-stage product development

Collaborate with cross-functional teams

Foster innovation in a collaborative work environment

Deliver impactful solutions

Establish best practices for ML experimentation

Establish best practices for ML evaluation

Establish best practices for ML development

Establish best practices for ML deployment

Partner with leadership to define roadmap

Partner with leadership to define strategic initiatives

Analyze large amounts of data

Generate opportunities

Develop statistical models

Prepare written presentations

Prepare verbal presentations

Share insights to audiences

How You'll Work.

Team & Collaboration

Cross-functional teams; Diverse and talented team; Other Scientists; Engineers; Product Managers

Communication Scope

Verbal presentations; Written presentations

Process & Methodology

Roadmap definition, Strategic initiatives

Full Job Description

Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the limits. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you. As an Applied Scientist on our team, you will focus on building state-of-the-art ML models for healthcare. Our team rewards curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the forefront of both academic and applied research in this product area, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers and collaborate with other teams. This role offers a unique opportunity to work on projects that could fundamentally transform healthcare outcomes. Key job responsibilities In this role, you will: • Design and implement novel AI/ML solutions for complex healthcare challenges • Drive advancements in machine learning and data science • Balance theoretical knowledge with practical implementation • Work closely with customers and partners to understand their requirements • Navigate ambiguity and create clarity in early-stage product development • Collaborate with cross-functional teams while fostering innovation in a collaborative work environment to deliver impactful solutions • Establish best practices for ML experimentation, evaluation, development and deployment • Partner with leadership to define roadmap and strategic initiatives You’ll need a strong background in AI/ML, proven leadership skills, and the ability to translate complex concepts into actionable plans. You’ll also need to effectively translate research findings into practical solutions. A day in the life You will solve real-world problems by getting and analyzing large amounts of

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