: Manager, Data Science
101 Main Street
Cambridge, MA 02142

Employee Testimonials

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Interested in Amazon Echo? We’re building the speech and language solutions behind Amazon Echo and other Amazon products and services. Come join us!

Amazon Alexa has an opportunity for a dynamic senior manager to lead our teams in the spoken language understanding field. We've expanded Alexa to new countries and have added new languages associated with those countries. The foundation for our progress is our ability to work with data, to measure impact and accuracy, to respond quickly while keeping the long-term vision in mind, and to develop the talent on our teams. We are looking for a leader with the ability to guide teams through decisions regarding modeling and data and their impact on improving the customer experience. You will be asked to think both strategically and tactically.

This role requires a thought leader able to see beyond what we are doing today and identify where we will need to be in the future, and get us there through concrete practical steps. You will ideally have a broad range of domain skills from statistical machine learning to data management to analytics and data science. You will be experienced in deploying models in a large-scale production setting and be able to coach the team on various challenges and trade-offs in producing models able to perform consistently well across messy real-world data. You will help the team to evaluate their deliverables and processes and understand the success metrics for their work. You will also be effective at partnering with teams across the organization to piece together data, models, and infrastructure into a cohesive end-to-end solution. Your teams will be multidisciplinary and filled with talented people requiring management skills that enable them to thrive.
A successful candidate will have an established background in developing customer-facing experiences, a strong technical ability, excellent project management skills, great communication skills, and a motivation to achieve results in a fast-paced environment. You will hire and develop your team, build customer-facing experiences, and manage your own projects.

BASIC QUALIFICATIONS

· Graduate degree in engineering, computer science, computational linguists, mathematics, or equivalent
· 10+ years of related experience
· Hands-on experiences in data science and machine learning
· Experience building technical teams
· Experience working with language-specific or country-specific product launches

PREFERRED QUALIFICATIONS

· A track record of developing the skills and trajectories of talented and motivated people.
· Project management experience desired for working on cross-functional projects
· Knowledge of professional software engineering practices & best practices for the full modeling life cycle, including code reviews, source control management, build processes, testing, and operations.
· Excellent written and verbal technical communication. Able to explain complex solutions in easy-to-understand terms.
· Track record of diving into data to discover hidden patterns and of conducting error/deviation analysis
· Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
· Exceptional level of organization
· Comfortable working in a fast paced, highly collaborative, dynamic work environment
· Ability to think creatively and solve problems

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

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Employee Testimonials

Spyros M.
Senior Principal Scientist, Alexa Machine Learning

“For scientists, this is a great place for doing research because Amazon is very data-driven and metrics-oriented. The rigor expected in scientific publications in terms of running controlled experiments and tracking progress based on well-established metrics is exactly what we see in our team.”

“You also interact with people with strong technical and practical experience and learn from each other,” he says. “You’re exposed to a breadth of challenges, many of them long-term applications for artificial intelligence."

Chao W.
Alexa Science Manager

“Since 2000 I’ve been focused on developing spoken language and machine translation systems that can engage with humans more effectively, and hopefully break down language and other barriers,” Chao says. “We’re still far from systems that truly understand the meaning of what we’re saying, but the progress we’re making with Alexa is incredibly exciting.”

Janet S.
Senior Manager of Applied Modeling and Data Science

“We have much further to go in developing systems that can truly understand and converse with humans naturally.  But I’m incredibly proud of how far we’ve come with Alexa, and super excited about the work teams are doing to make Alexa smarter every day.”

Shankar A.
Senior Manager, Applied Science

“When I first joined the team I didn’t realize just how big and ambitious this initiative really is,” said Shankar. “What’s incredibly exciting for speech scientists like myself is how algorithmic innovations in machine learning and data science have created a sophisticated voiced-based AI like Alexa, and how our work on improving this technology has a positive impact on the day-to-day lives of millions of customers using it."

Chris C.
People Manager

“We have an incredibly diverse, experienced and curious team that is always pushing the envelope even further! Here at Amazon, we pride ourselves on being peculiar. We bring in talent from all around the world, leading to a diversity of background, culture and perspective in each team!” 

Beatriz R.
Team Manager

“I have quickly learned that Amazon is a company where you can actually voice out your ideas and concerns, where you can expect the support and interest of Leadership. We are quick to take action, passionate about improving processes and driven to enhance morale, so being able to speak up without fear has been my best asset. Now at the year mark at ADS, I am happy to say that the culture is one where you are proud to be a member of the team. “