Data Scientist, Onsite Publishing

Job summary

Are you excited about joining a team of scientists building lasting solutions for Amazon customers from the ground up? Our team is using machine learning, and statistical methods to take Amazon’s unique customer obsession culture to another level by designing solutions that change customers behavior when it comes to product search, discovery, and purchase. In order to achieve this, we need scientists who will help us build advanced algorithms that deliver first-rate user experience during customers’ shopping journeys on Amazon, and subsequently make Amazon their default starting point for future shopping journeys. These algorithms will utilize advances in Natural Language Understanding, and Computer Vision to source and understand contents that customers trust, and furnish customers with these contents in a way that is precisely tailored to their individual needs at any stage of their shopping journey.





Key job responsibilities
We are looking for a Data Scientist to join our rapidly growing Seattle team. As a Data Scientist, you are able to use a range of data science methodologies to solve challenging business problems when the solution is unclear. You have a combination of business acumen, broad knowledge of statistics, deep understanding of ML algorithms, and an analytical mindset. You thrive in a collaborative environment, and are passionate about learning. Our team utilizes a variety of AWS tools such as Redshift, DynamoDB, SageMaker, S3, and EC2 with a variety of skillsets in shallow and deep learning ML models, particularly in NLP and CV. You will bring knowledge in many of these domains along with your own specialties and skillsets.

A day in the life
In this role, you’ll be utilizing your data analytics and visualization, and creative and critical problem-solving skills to drive new projects from ideation to implementation. Rapid development of lightweight (traditional) ML models will be your secret weapon. Conclusions and recommendations from your analysis of critical business problems will influence business decisions, reveal existing science gaps, and inform future science initiatives.

About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

Basic Qualifications

Basic qualifications
• Bachelor's Degree
• 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.)
• 3+ years of experience developing general ML models
• 3+ years working as a Data Scientist
• 2+ years of experience in handling large data sets using SQL and databases in a business environment.

Preferred Qualifications

Preferred qualifications
• MS or PhD in Computer Science, Mathematics, Statistics, Finance, Machine Learning or related technical field
• 5+ years working as a Data Scientist
• 5+ years of experience developing general ML models
• 5+ years of experience with data scripting languages (e.g SQL, Python, R etc.)
• 2+ years of experience implementing ML Ops



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.