19 mar
BetWarrior
Buenos Aires
Senior Data Scientist, AWS Gen AI Innovation Center
Amazon Web Services Argentina S.R.L. - F61
Minimum Qualifications:
1. 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).
2. 4+ years of data scientist experience.
3. Experience with statistical models (e.g. multinomial logistic regression).
4. 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:
1. Work closely with account teams and ML strategists to define use cases.
2. Collaborate with other scientists and ML engineers to design experiments.
3. 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:
1.
2+ years of data visualization experience using AWS QuickSight, Tableau, R Shiny, etc.
2. Experience managing data pipelines.
3. Experience as a leader and mentor on a data science team.
4. Experience with Machine Learning and Generative AI.
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Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.