Data Scientist

Seattle, Washington, USA

Applications have closed

Amazon.com

Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...

View company page

What is the most relevant business data for AWS leadership? What are the most important insights in this data? Are we investing enough in our infrastructure, or too much? How much new workloads do our new products drive into AWS? Which initiatives help our customers utilize AWS the most? How do our customers react to changes in prices, purchase options or products?

The Central AWS Econ team is dedicated to answering these questions using quantitative, economic and statistical methods. We develop cutting edge data pipelines, build accurate predictive models, and provide insights to executive leaders throughout the company. We are looking for a talented, driven, and analytical researcher to help us answer these (and many more) questions.

This Data Scientist role will develop models and datasets to support projects led by our senior researchers. The successful candidate will be a versatile problem solver who enjoys diving into data. This role is ideal for a data scientist who has strong coding skills. The role requires moving algorithms from prototype to application, optimizing and evaluating alternative technical approaches to the problem. The work will require collaborating with Data Scientists, BIEs and Data Engineers across AWS.

Key Responsibilities:
· Develop ML models for customer level predictions
· Implement new algorithms to improve existing models
· Collaborate with data engineers to integrate new data sources into the econ pipeline

Basic Qualifications


· M.S./M.A. in Computer Science, Data Science, Economics, Statistics or a related quantitative field and 2 years' of work experience as a data scientist
· Proven experience using R or Python
· A hunger for learning and a proven ability to implement new methods while working

Preferred Qualifications

· Experience with the AWS AI/ML toolkit
· Experience with business-wide decision support systems
· Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts


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.

Tags: AWS Computer Science Data pipelines Economics Machine Learning ML models Pipelines Python R React Statistics

Region: North America
Country: United States
Job stats:  41  8  0
Category: Data Science Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.