Data Scientist, Alexa Shopping
Seattle, Washington, USA
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...
Job summary
At Alexa Shopping, we strive to enable shopping in everyday life. We allow customers to instantly order whatever they need, by simply interacting with their Smart Devices such as Amazon Show, Spot, Echo, Dot or Tap. Our Services allow you to shop, no matter where you are or what you are doing, you can go from 'I want that' to 'that's on the way' in a matter of seconds. We are seeking the industry's best to help us create new ways to interact, search and shop. Join us, and you'll be taking part in changing the future of everyday life
We are seeking a Data Scientist to be part of the ASR science team for Alexa Shopping. This is a strategic role to shape and deliver our technical strategy in developing and deploying ASR, Machine Learning solutions to our hardest customer facing problems. Our goal is to delight customers by providing a conversational interaction. These initiatives are at the heart of the organization and recognized as the innovations that will allow us to build a differentiated product that exceeds customer expectations. If this role seems like a good fit, please reach out, we'd love to talk to you.
This role requires working closely with business, engineering and other scientists within Alexa Shopping and across Amazon to deliver ground breaking features. You will lead high visibility and high impact programs collaborating with various teams across Amazon. You will work with a team of Scientists and SDEs to launch new customer facing features and improve the current features.
· Bachelor's Degree
· 1+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
· Experience applying various machine learning techniques, and understanding the key parameters that affect their performance.
· Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
· Experienced in handling large data sets using SQL and databases in a business environment.
· Excellent verbal and written communication.
· Strong troubleshooting and problem solving skills.
Thrive in a fast-paced, innovative environment.
· Experienced in writing academic-styled papers for presenting both the methodologies used and results for data science projects.
· Hypothesis testing (including statistical hypothesis testing) and experimental design
· Experience with unstructured textual data
· Experience in one or more natural language processing topics: tagging, syntactic parsing, word sense disambiguation, topic modeling; contextual text mining, and application of deep learning to NLP.
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.
At Alexa Shopping, we strive to enable shopping in everyday life. We allow customers to instantly order whatever they need, by simply interacting with their Smart Devices such as Amazon Show, Spot, Echo, Dot or Tap. Our Services allow you to shop, no matter where you are or what you are doing, you can go from 'I want that' to 'that's on the way' in a matter of seconds. We are seeking the industry's best to help us create new ways to interact, search and shop. Join us, and you'll be taking part in changing the future of everyday life
We are seeking a Data Scientist to be part of the ASR science team for Alexa Shopping. This is a strategic role to shape and deliver our technical strategy in developing and deploying ASR, Machine Learning solutions to our hardest customer facing problems. Our goal is to delight customers by providing a conversational interaction. These initiatives are at the heart of the organization and recognized as the innovations that will allow us to build a differentiated product that exceeds customer expectations. If this role seems like a good fit, please reach out, we'd love to talk to you.
This role requires working closely with business, engineering and other scientists within Alexa Shopping and across Amazon to deliver ground breaking features. You will lead high visibility and high impact programs collaborating with various teams across Amazon. You will work with a team of Scientists and SDEs to launch new customer facing features and improve the current features.
Basic Qualifications
· Bachelor's Degree
· 1+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
· Experience applying various machine learning techniques, and understanding the key parameters that affect their performance.
· Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
· Experienced in handling large data sets using SQL and databases in a business environment.
· Excellent verbal and written communication.
· Strong troubleshooting and problem solving skills.
Thrive in a fast-paced, innovative environment.
Preferred Qualifications
· Master's degree in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with at least 2+ years of working experience as a Data Scientist.· Experienced in writing academic-styled papers for presenting both the methodologies used and results for data science projects.
· Hypothesis testing (including statistical hypothesis testing) and experimental design
· Experience with unstructured textual data
· Experience in one or more natural language processing topics: tagging, syntactic parsing, word sense disambiguation, topic modeling; contextual text mining, and application of deep learning to NLP.
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: Deep Learning Economics Engineering Machine Learning Matlab NLP Python R Research SAS SQL Statistics Testing Topic modeling
Region:
North America
Country:
United States
Job stats:
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Category:
Data Science Jobs
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