DATA SCIENTIST, AWS GEN AI INNOVATION CENTER

DESCRIPTION Amazon launched the Generative AI Innovation Center in June to help AWS customers accelerate innovation and business success with Generative AI (https://press.
boutamazon.
om//aws-announces- generative -ai -innovation center).
This Innovation Center provides opportunities to innovate in a fast-paced organization that contributes to breakthrough projects and technologies that are deployed across devices and the cloud.
As a data scientist, you are proficient in designing and developing advanced generative AI solutions to solve diverse customer problems.
You'll work with terabytes of text, images, and other types of data to solve real-world problems through Gen AI.
You will work closely with account teams and ML strategists to define the use case, and with other ML scientists and engineers on the team to design experiments and find new ways to deliver customer value.
The selected person will possess technical and customer-facing skills that will enable you to be part of the AWS technical team within our solution providers ecosystem/environment as well as directly to end customers.
You will be able to lead discussion with customer and partner staff and senior management.
A day in the life Here at AWS, we embrace our differences.
We are committed to promoting our culture of inclusion.
We have ten employee-led affinity groups, reaching employees in more than 190 branches around the world.
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.
Amazon's culture of inclusion is reinforced by our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and build trust.
About the team Work/life balance Our team highly values ​​work-life balance.
It's not 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 that finding the right balance between your personal and professional life is fundamental to lifelong happiness and fulfillment.
We offer flexibility in working hours and encourage you to find your own work-life balance.
Mentoring and career growth Our team is dedicated to supporting new members.
We have a broad mix of experience levels and mandates and are building an environment that celebrates knowledge sharing and mentorship.
Our senior members enjoy one-on-one guidance and thorough but gentle code reviews.
We care about your career growth and strive to assign projects based on what will help each team member become a more well-rounded engineer and enable them to take on more complex tasks in the future.
We are open to hiring candidates to work out of one of the following locations.
Sao Paulo, SP, BRA BASIC QUALIFICATIONS - Experience as a data scientist; - 2 years of experience in data query languages ​​(e.
.
SQL), scripting languages ​​(e.
.
Python) or statistical/mathematical software (e.
.
R, SAS, Matlab, etc.); - Familiarity with statistical modeling/machine learning data analysis tools and techniques and parameters that affect your performance experience; - Experience in applying theoretical models in an applied environment; - Advanced communication skills in English (written and spoken).
PREFERRED QUALIFICATIONS - Experience with Python, Perl, or another scripting language; - Experience in an ML or data scientist role at a large technology company.