Sicredi

Data Scientist – Credit and Business Solutions

Sicredi

full-time

Posted on:

Location Type: Hybrid

Location: Porto Alegre • 🇧🇷 Brazil

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Job Level

Junior

Tech Stack

AWSETLPythonPyTorchScikit-LearnSQLTensorflow

About the role

  • Prepare scenario studies and business diagnostics;
  • Develop and support teams in measuring results, identifying opportunities, trends and patterns in datasets;
  • Take initiative to propose hypotheses and solve problems through data science;
  • Ability to present and communicate analyses to non-technical audiences;
  • Collaborate with Data Engineers to improve data acquisition and transformation pipelines used by models;
  • Work alongside Data Analysts to generate business insights and guide information analysis to support strategic decision-making;
  • Ensure the quality, performance and sustainability of models;
  • Participate in the Data Science Chapter, encouraging and promoting a data-driven culture among colleagues and teams across the operation;
  • Maintain necessary documentation for your deliverables;
  • Continuously develop technical and business knowledge;
  • Understand and apply statistical and machine learning techniques to propose changes, provide answers for decision-making, and embed models and intelligent algorithms into software products;
  • Extract and process data from multiple sources and at large scale.

Requirements

  • Bachelor's degree in Engineering, Economics, Statistics, Mathematics, Computer Science or related fields.
  • For internal candidates: minimum of 6 months' experience at Sicredi.
  • Advanced analysis languages (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 (regressions, time series, survival models)
  • Experience with production environments (model deployment, MLOps, monitoring)
  • Experience with cloud platforms (AWS)
  • Building 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 LGPD (Brazilian Data Protection Law)
  • Clear and concise communication
  • Empathy and collaboration
  • Critical and analytical thinking
  • Problem-solving focus.
Benefits
  • Fixed 14th and 15th salaries;
  • Profit-sharing / results participation (according to seniority);
  • Health and dental plans with no co-payment;
  • Wellbeing programs with Wellhub (formerly Gympass): nutrition, psychology, occupational health, massage, running group and local gym;
  • Meal and food vouchers (VA/VR) – flexible percentage allocation between cards, no co-payment;
  • Extended maternity and paternity leave;
  • Childcare or nanny allowance for children up to 6 years and 11 months;
  • Support for children with disabilities, no age limit;
  • Life insurance;
  • Private pension plan up to 7% of salary;
  • Training platform – Sicredi Aprende, offering various courses;
  • 40-hour workweek – using a time bank system;
  • Remote work allowance (except for roles that are 100% on-site).

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLRPythonTensorFlowPyTorchScikit-learnadvanced statisticsstatistical modelingMLOpsdata architecture
Soft skills
clear communicationempathycollaborationcritical thinkinganalytical thinkingproblem-solving