Senior Data Scientist, Aws Gen Ai Innovation Center (NET473)

Senior Data Scientist, Aws Gen Ai Innovation Center (NET473)

19 mar
|
BetWarrior
|
Buenos Aires

19 mar

BetWarrior

Buenos Aires

Senior Data Scientist, AWS Gen AI Innovation CenterAmazon Web Services Argentina S.R.L.
- F61
Minimum Qualifications: 5+ years of experience with data querying languages (e.g.
SQL), scripting languages (e.g.
Python), or statistical/mathematical software (e.g.
R, SAS, Matlab).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.About the Role: GAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies deployed on devices and in the cloud.
As a data scientist at GAIIC,



you will design and develop advanced Generative AI-based solutions to solve diverse customer problems.
You will work with terabytes of text, images, and other types of data to address real-world challenges through Gen AI.
Responsibilities: Work closely with account teams and ML strategists to define use cases.Collaborate with other scientists and ML engineers to design experiments.Find new ways to deliver value to customers.Work/Life Balance: Our team values work-life balance, emphasizing the importance of establishing a flow that energizes both personal and professional lives.
We offer flexibility in working hours and encourage finding the right balance.
Mentorship & Career Growth: We are dedicated to supporting new members with a mix of experience levels.
Our environment celebrates knowledge sharing and mentorship, with senior members providing one-on-one mentoring and thorough, constructive code reviews.
We focus on career growth and assign projects that help team members develop into well-rounded engineers.
Location: Buenos Aires, ARG
Preferred Qualifications:



2+ years of data visualization experience using AWS QuickSight, Tableau, R Shiny, etc.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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