Develop models to optimize banking and acquiring processes.
Analyze large volumes of transactional data to identify patterns, trends, and opportunities to improve processes.
Implement customer segmentation and behavior prediction algorithms to increase efficiency and personalize services offered.
Work closely with engineering, product, and business teams to define and implement data solutions that meet customer and company needs.
Present complex insights clearly and effectively to non-technical stakeholders to support strategic decision-making.
Mentor and provide technical guidance to less senior members of the data science team.

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
Experience analyzing large volumes of data to generate insights for business teams.
Experience with data analysis tools and programming, such as SQL, Python, R, or machine learning libraries (TensorFlow, PyTorch, Scikit-Learn, etc.).
Ability to solve complex problems creatively and innovatively.
Knowledge of code versioning processes (Git, GitHub).
Ability to translate business team questions and needs into requirements for analyses.

Meal allowance and/or meal voucher.
Health and dental insurance.
Life insurance.
Partnerships with TotalPass and ZenKlub.
Extended maternity and paternity leave.
Childcare assistance.
Up to 50% discounts on postgraduate and MBA programs at major institutions, such as FIA, FAAP, and PUCRS.
No dress code: wear what makes you feel comfortable.
#TáDeParabéns: day off on your birthday.
Baby Gift: present for newborns.

Data Science Specialist I

Key skills