Senior Data Scientist, Aws Gen Ai Innovation Center
hace 3 semanas
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Bachelor's degree and 8 years of experience or Master's degree and 4 years of experience
GAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud.
As a data scientist at GAIIC, you are proficient in designing and developing advanced Generative AI based solutions to solve diverse customer problems.
You will be working with terabytes of text, images, and other types of data to solve real-world problems through Gen AI.
You will be working closely with account teams and ML strategists to define the use case, and with other scientists and ML engineers on the team to design experiments, and find new ways to deliver value to the customer.
A day in the lifeHere 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.
Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
About the teamWork/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 GrowthOur 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.
Buenos Aires, ARG- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- Experience with Machine Learning and Generative AI
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