Mid-Level Data Scientist

PagBank

. Develop models to optimize banking or payment acquiring processes.

Posted 10/28/2026full-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis and modeling to optimize banking and payment processes, utilizing programming languages and machine learning libraries. Capable of delivering insights to non-technical stakeholders and mentoring junior team members.

Highest-signal resume keywords

Data AnalysisMachine LearningSQLPythonCustomer Segmentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisMachine LearningStatistical AnalysisBehavioral PredictionData Modeling

Soft Skills

Creative Problem SolvingEffective CommunicationMentoring

Tools & Technologies

SQLPythonRTensorFlowPyTorchScikit-LearnGitGitHub

Industry Keywords

BankingPayment ProcessingTransactional DataCustomer InsightsData Solutions

Tech Stack

Tools & technologies

PythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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 and programming tools 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 version control practices and tools (Git, GitHub).
Ability to translate business teams' questions and needs into requirements for analysis.

Benefits

Comp & perks

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 graduate programs and MBAs at leading institutions such as FIA, FAAP, and PUCRS.
No dress code.
Birthday day off.
Baby Gift: gift for newborns.