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Applied Scientist II

Job ID: 1783820 | Amazon.com Services LLC

DESCRIPTION

Job summary
We are looking for a passionate and talented Applied Scientist who will collaborate with other scientists and engineers to leverage machine learning methods and algorithms for the modeling and analysis of data.

You'll design models and run experiments, research algorithms, and find new ways of optimizing customer experience.

You are the ideal candidate if you are passionate about delivering experiences that delight customers and creating solutions that are robust. You thrive in ambiguous environments that require to find solutions to problems that have not been solved before. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience to creating reliable, scalable, and high performance products. Your strong communication skills enable you to work effectively with both business and technical partners. You have hands-on experience making the right decisions about technology, models and methodology choices. You strive for simplicity, and demonstrate significant creativity and high judgment backed by statistical proof.

Responsibilities include:
· Design, implement, test, deploy and maintain innovative data and machine learning solutions to further the customer experience.
· Create experiments and prototype implementations of new learning algorithms and prediction techniques
· Collaborate with scientists, engineers, product managers and business stakeholders to design and implement software solutions
· Use machine learning best practices to ensure a high standard of quality for all of the team deliverables




Key job responsibilities
1. Design, implement, test, deploy and maintain innovative data and machine learning solutions to further the customer experience.
2. Create experiments and prototype implementations of new learning algorithms and prediction techniques
3. Collaborate with scientists, engineers, product managers and business stakeholders to design and implement software solutions
4. Use machine learning best practices to ensure a high standard of quality for all of the team deliverables

BASIC QUALIFICATIONS

· PhD in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
· 3+ years of practical experience applying ML to solve complex problems
· 2+ years hands-on experience programming in Python, Java, C/C++ or other similar programming languages
· Proficiency in algorithm and model development, model validation and model implementation for large-scale applications
· Experience distilling customer requirements into problem definitions, dealing with ambiguity and competing objectives
· Strong communication and data presentation skills
· Ability to develop practical solutions to complex problems

PREFERRED QUALIFICATIONS

· Extensive experience applying theoretical models in an applied environment
· Strong fundamentals in problem solving, algorithm design and complexity analysis
· Maintain an understanding of industry and technology trends in area of research.
· Contribute to Amazon's Intellectual Property through patents and/or external publications.
· Understand business context to decisions made within and across groups.
· Strong personal interest in learning, researching, and creating new technologies with customer impact
· Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
· Proven track record in technically leading and mentoring scientists as well as engineers



Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records