Sr. Data Scientist, Alexa Shopping

Job description

DESCRIPTION

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 Echo or Fire TV. 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. You will have an impact on Amazon's new devices and the way shopping is done in the area of IoT. Join us, and you'll be taking part in changing the future of everyday life.

The ideal candidate will be an expert in the areas of data science, machine learning and statistics, having hands-on experience with multiple improvement initiatives as well as balancing technical and business judgment to make the right decisions about technology, models and methodologies. As part of this role, you will build models to improve customer's shopping experience on Alexa. This involves building conversation arbitration models, which recommends the next steps when a customer asks "Alexa, buy me a paper towels", defining conversation quality and metrics to measure and continuously improve on it, defining customer identity for Alexa shopping and much more. These are some of the challenges that have not been solved in the industry before. The candidate needs experience with data science / business intelligence, analytics, and reporting systems while striving for simplicity, and demonstrating significant creativity and high judgment backed by statistical proof.

This role requires you to build, develop and manage a team of Data Scientists, 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.

Desired profile

BASIC QUALIFICATIONS

· A passion for improving customer experience
· Bachelor or Master's degree in highly quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.
· 3+ years of experience managing data science teams.
· Experience managing platforms or infrastructure software systems
· Experience with R, Python, SAS, Matlab or other statistical/machine learning software.
· Experience applying various machine learning techniques, and understanding the key parameters that affect their performance.
· Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, and the ability to accurately determine cause and effect relationships.
· Have a history of building systems that capture and utilize large data sets in order to quantify performance via metrics or KPIs.
· Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.