Data Scientist

The Alexa for Business (A4B) team is building new capabilities into Alexa that help professionals be more productive at work. In addition to teaching Alexa new things, we provide tools that administrators need to manage Alexa at scale across a large organization. These new capabilities are unlocking a whole new set of use cases for Alexa, from the Office to Hotel Rooms, Restaurants and even sports stadiums. Come join us and help us use the power of voice computing to solve completely new challenges!

We are looking for passionate data scientists who are excited to solve challenging problems in voice experience modeling as well as help us launch a greenfield initiative in a new domain using the latest ML techniques. As a data scientist on A4B team, you will be developing next-generation voice recognition models products using state of the art machine learning (ML) models with a world class engineering team. You will also work as the leader in experimentation from statistical perspective and heavily influence business decisions.

As a member of the A4B organization, you will spend your time as a hands-on machine learning practitioner and an experimentation leader. You will play a key role on the team, building machine learning models from the ground up. At the end of the day, you will have the reward of seeing your contributions benefit millions of A4B customers worldwide.

To be successful in this role, you must have a passion for data, efficiency, and accuracy. Specifically, you will

• Be the single-threaded leader for all things Data Science for A4B, including (a) shaping the Data Science vision for the business, (b) proposing innovative Think Big ideas that will grow the business and getting them prioritized via planning process, and (c) executing on the Science roadmap.
• Build new voice experiences for A4B
• Develop and automate metrics and data visualizations that provide insights to the broader organization.
• Design and build green field ML models (in partnership with the Product Management and Software Engineering teams) to solve business problems as part of new initiatives in new domains that we are investing in
• Be an active contributor in terms of A4B strategic planning, business direction, insight generation, etc.
• Regularly share findings and insights, both verbally and written, with the leadership team and in Town Hall settings with the entire org.

Basic Qualifications

• Master's Degree in any quantitative discipline such as Statistics, Mathematics, Quantitative Finance, computer science, or Operational Research
• 4+ years of experience working in Analytics / Business Intelligence environment
• 4+ years professional experience in modeling and statistical analysis of large data sets
• Proven experience in working with databases and SQL in a business environment
• Demonstrated use of analytical packages and query languages such as SAS, SPSS and SQL
• Proven experience in design and execution of analytical projects
• Demonstrated experience working in large scale data bases and data warehouses
• Track record of developing and implementing models using programming and scripting (Java, Python, R, Ruby, C/C++, or Matlab)

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.

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