Data Scientist II, AWS Lex

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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.

Key job responsibilities

* Automating customer dataset evaluations

* Figuring out key metrics that need improvement for solving customer problems, and suggesting a path forward on those.

* Work closely with Applied Scientists to run analysis on new science solutions for customer engagement.

A day in the life

* Automating customer dataset evaluations

* Figuring out key metrics that need improvement for solving customer problems, and suggesting a path forward on those.

* Work closely with Applied Scientists to run analysis on new science solutions for customer engagement.

BASIC QUALIFICATIONS

• MS degree and 5-6+ years of work experience or PhD in Computer Science, Linguistics, or Statistics with 1-2 years of experience; alternatively,
• 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

PREFERRED QUALIFICATIONS

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