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Sicredi

Data Scientist – Focus on Credit and Business Solutions

Sicredi

. Conduct business scenario analyses and diagnostics .

Posted 9/23/2026full-timePorto Alegre • BrazilJuniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in statistical and machine learning techniques, data architecture, and advanced analytics to drive data-driven decision-making. Proficient in collaborating with cross-functional teams to enhance data workflows and ensure model quality and performance.

Highest-signal resume keywords
Statistical And Econometric ModelingMachine Learning FrameworksData ArchitectureAdvanced Analytics LanguagesCloud Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Statistical ModelingMachine LearningData AnalysisData ProcessingAdvanced SQLData VisualizationHypothesis TestingRegression AnalysisTime Series AnalysisSurvival Models
Soft Skills
Problem SolvingCommunicationCollaborationInitiativeStorytelling
Tools & Technologies
SQLRPythonGitGitLabTensorFlowPyTorchScikit-learnPower BIAWS
Industry Keywords
Data GovernanceLGPD ComplianceData ScienceData-Driven CultureMLOps

Tech Stack

Tools & technologies
AWSETLPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact
  • Conduct business scenario analyses and diagnostics
  • Develop and support teams in measuring results, identifying opportunities, trends, and patterns in datasets
  • Take the initiative to propose hypotheses and solve problems through data science
  • Present and communicate analyses clearly to non-technical audiences
  • Partner with Data Engineers to improve the data acquisition and transformation workflows used in models
  • Work closely with Data Analysts to generate business insights and guide information analysis to support the best strategic decisions
  • Ensure model quality, performance, and sustainability
  • Participate in the Data Science Chapter, encouraging and promoting the dissemination of a data-driven culture among colleagues and operational teams
  • Maintain the documentation required for deliverables
  • Continuously develop technical and business expertise
  • Understand and apply statistical and machine learning techniques to propose changes, provide answers for decision-making, and embed intelligent models and algorithms into software products
  • Extract and process data from diverse sources and at large volumes

Requirements

What you’ll need
  • Bachelor’s degree in Engineering, Economics, Statistics, Mathematics, Computer Science, and/or related fields
  • For internal candidates: at least 6 months of experience at Sicredi
  • Languages for advanced analytics (SQL, R, Python)
  • Version control and CI/CD tools (Git, GitLab, or similar)
  • ML/AI frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Advanced statistics applied to data science (inference, hypothesis testing, multivariate analysis)
  • Statistical and econometric modeling (regression, time series, survival models)
  • Experience with production environments (model deployment, MLOps, monitoring)
  • Experience with cloud platforms (AWS)
  • Development of queries for relational and non-relational databases (advanced SQL, optimization)
  • Data architecture (modeling, ETL pipelines, integration)
  • Advanced data visualization and storytelling (Power BI, Plotly, Seaborn)
  • Data governance and compliance with Brazil’s LGPD data protection law

Benefits

Comp & perks
  • 14th and 15th fixed salaries
  • Profit-sharing, according to seniority
  • Health and dental insurance with no copay
  • Wellness programs through Wellhub (formerly Gympass), including nutrition, psychology, workplace wellness, massage, running group, and local gym benefits
  • Food and meal allowance, with flexible allocation percentages between the food and meal cards and no copay
  • Extended maternity and paternity leave
  • Childcare or nanny assistance for children up to 6 years and 11 months old
  • Assistance for children with disabilities, with no age limit
  • Life insurance
  • Private pension plan with employer contributions of up to 7% of salary
  • Training platform – Sicredi Aprende, with a wide range of courses
  • 40-hour workweek, using a time bank system
  • Remote work allowance (except for positions that are 100% on-site)