Develop models to optimize banking or payments 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 the needs of customers and the company.
Present complex insights clearly and effectively to non-technical stakeholders to support strategic decision-making.
Requirements
Bachelor's degree completed or in progress in Computer Science, Engineering, Mathematics, Statistics or related fields.
Experience analyzing large volumes of data to generate insights for business teams.
Experience with data analysis tools and programming languages 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 teams' questions and needs into requirements for analyses.
Tech Stack
Python
PyTorch
Scikit-Learn
SQL
Tensorflow
Benefits
Meal allowance and/or food voucher.
Health and dental plan.
Life insurance.
Partnerships with TotalPass and ZenKlub.
Extended maternity and paternity leave.
Childcare assistance.
Up to 50% discounts on postgraduate and MBA programs at leading institutions such as FIA, FAAP and PUCRS.
No dress code: what matters is that you wear what makes you feel comfortable.