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Data Scientist II

Job ID: 1749164 | Amazon Dev Center U.S., Inc.


Job summary

Amazon AI is looking for an experienced Data Scientist with a
background in the intersection of linguistics, phonetics, or NLP and
statistics/machine learning to help build industry-leading speech and
language processing services.

As part of our AI team in Amazon Web Services, you will work alongside
applied scientists, software engineers, and language engineers to
define data requirements for training AI services, ensure data
quality, develop suitable evaluation metrics for novel AI features and
services, and analyze systems' input/output behavior. You will be responsible
for implementing and maintaining data analysis tools and pipelines, creating
insightful analyses of complex production systems, and communicating results
to scientists, product managers, and customers.

Your work will directly impact millions of our customers in the form
of products and services that make use of speech and language
technology. You will gain hands on experience with Amazon’s
heterogeneous speech, text, and structured data sources, and
large-scale computing resources to accelerate advances in spoken
language processing.

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.


· PhD in Computer Science, Linguistics, or Statistics; alternatively, MS degree and 4+ years of work experience
· Knowledge of fundamental concepts in linguistics, phonetics, natural language processing, statistics, basic machine learning
· Software development experience (Python) and strong quantitative analysis skills
· Strong sense of ownership and a detail-oriented approach to problem-solving
· Ability to work effectively with multiple stakeholders of diverse technical backgrounds
· Excellent written and spoken communication skills


· Experience in building data analysis pipelines
· Familiarity with cloud-based machine learning products
· Familiarity with production-grade speech recognition or NLP systems

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