Data Scientist, AWS Gen AI Innovation Center
Sao Paulo, Sao Paulo, BRA
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...
Amazon launched the Generative AI Innovation Center in June 2023 to help AWS customers accelerate innovation and business success with Generative AI (https://press.aboutamazon.com/2023/6/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 40,000 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
- Experience as a data scientist;
- 2 years of experience in data query languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. 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).
- Experience in an ML or data scientist role at a large technology company.
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 40,000 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.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Data analysis Generative AI Machine Learning Matlab Perl Python R SAS SQL Statistical modeling Statistics
Perks/benefits: Career development Conferences
Region:
South America
Country:
Brazil
Job stats:
4
1
0
Categories:
Data Science Jobs
Deep Learning Jobs
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Marketing Data Analyst jobs
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Analyst Intern jobs
- Open Sr Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Engineering Manager jobs
- Open Junior Data Engineer jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Research Scientist jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Data quality-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open LLMs-related jobs
- Open APIs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs