Senior Applied Scientist, Special Projects

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 a Senior Applied Scientist, Special Projects 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 data, generate insights and opportunities, design simulations and experiments, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the Special Projects organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication.

About The Team

We represent Amazon's ambitious vision to solve the world's most pressing challenges. We are exploring new approaches to enhance research practices in the healthcare space, leveraging Amazon's scale and technological expertise. We operate with the agility of a startup while backed by Amazon's resources and operational excellence. We're looking for builders who are excited about working on ambitious, undefined problems and are comfortable with ambiguity.

Basic Qualifications

• Experience with programming languages such as Python, Java, C++
• Experience with machine learning (ML) tools and methods
• Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications
• 5+ years of practical machine learning experience
• Experience in development or technical support, or experience with training and deploying machine learning systems to solve large-scale optimizations
• Experience driving collaborative projects from conception to delivery
• MS or PhD in Computer Science, Engineering, Machine Learning, Statistics, Biostatistics, or related quantitative field

Preferred Qualifications

• Experience using English communication skills, both written and verbal, to foster seamless interaction with stakeholders at all levels
• Experience communicating complex ideas to technical and non-technical audiences
• Experience collaborating with cross-functional teams including Marketing, Product Management, Customer Service, Operations, Legal, Finance, and Senior Leadership
• Experience in deep learning models for healthcare

Key skills/competency

• AI/ML Solutions
• Healthcare AI
• Machine Learning Models
• Data Science
• Product Development
• ML Experimentation
• Deep Learning
• Natural Language Processing
• Computer Vision
• Python/Java/C++