Develop models to optimize banking and payment 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 the services offered.
Work closely with engineering, product, and business teams to define and implement data solutions that meet customer and company needs.
Communicate complex insights clearly and effectively to non-technical stakeholders, supporting strategic decision-making.
Mentor and provide technical guidance to more junior data science team members.

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 in a creative and innovative way.
Knowledge of code versioning processes (Git, GitHub).
Ability to translate business teams' questions and needs into requirements for analyses.

Meal and/or food allowance.
Health and dental insurance.
Life insurance.
Partnerships with TotalPass and ZenKlub.
Extended maternity and paternity leave.
Childcare assistance.
Discounts of up to 50% on postgraduate and MBA programs from leading institutions such as FIA, FAAP and PUCRS.
No dress code: wear what makes you feel comfortable.
#TáDeParabéns: day off on your birthday.
Baby Gift: gift for newborns.

Senior Data Scientist

Key skills