Data Scientist at a banking company in São Paulo. Focused on process optimization and data analysis to enhance decision making and customer behavior predictions.
Responsibilities
Develop models to optimize banking or merchant 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 the efficiency and personalization of services offered.
Work closely with engineering, product and business teams to define and implement data solutions that meet client and company needs.
Provide complex insights clearly and effectively to non-technical stakeholders, aiding strategic decision-making.
Mentor and provide technical guidance to less senior members of the data science team.
Requirements
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 manner.
Knowledge of code versioning processes (Git, GitHub).
Ability to translate business teams’ questions and needs into requirements for analyses.
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