Sr. Data Scientist

Job ID: 1552304 | Amazon.com Services LLC

DESCRIPTION

Amazon Live is looking for a passionate, talented and creative Sr. Data Scientist to help build industry-leading content recommendation technology. This is a unique, ground floor opportunity to create best in class interactive and personalized shopping experience.

A day in the life
As a Sr. Data Scientist, you will design, evangelize, and implement solutions to address complex business questions using advanced statistical techniques, experimentation, and big data. You will partner with business and tech leaders to conduct experiments and draw insights from statistical analyses. You will spearhead building ML models and tools that drive continuous improvements of our customer’s experience.

About the hiring group
Amazon Live is a new and rapidly growing shopping experience that leverages the interactivity of live streams to help customers discover cool new products and content creators. Our mission is to revolutionize the way customers shop and discover products on Amazon. Check us out on: https://www.amazon.com/live

Job responsibilities
We are looking for creative thinkers who can combine a strong analytical toolkit with a desire to continue innovating, and who are able to execute and deliver on big ideas.


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.

BASIC QUALIFICATIONS

· Bachelor's Degree
· 5+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
· 4+ years working as a Data Scientist

PREFERRED QUALIFICATIONS

· Experience using Cloud Storage and Computing technologies such as AWS RedShift, RDS, Hadoop etc.
· Experience with SageMaker
· Industry experience working with recommender systems