About the role

Data Scientist enhancing Sicredi's data pipeline and generating actionable insights across credit sectors. Collaborating closely with data engineers and analysts to improve decision-making.

Responsibilities

Perform 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 using data science;
Ability to present and communicate analyses in non-technical terms;
Collaborate with Data Engineers to improve data acquisition and transformation flows used by models;
Work alongside Data Analysts to generate business insights and guide information analysis for better strategic decisions;
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 our operation;
Maintain necessary documentation for your deliverables;
Continuously evolve technically and from a business perspective;
Understand and apply statistical and machine learning techniques to propose changes, provide decision-making support, and deploy models and intelligent algorithms into software products;
Extract and process data from diverse sources and at large scale.

Bachelor's degree or higher 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).
Querying relational and non-relational databases (advanced SQL, optimization).
Data architecture (modeling, ETL pipelines, integration).
Advanced visualization and data storytelling (Power BI, Plotly, Seaborn).
Data governance and compliance with LGPD.
Clear and concise communication.
Empathy and collaboration.
Critical and analytical thinking.
Problem-solving orientation.

Fixed 14th and 15th salary payments.
Profit-sharing / performance participation (depending on seniority).
Health and dental plans with no co-payment.
Wellness programs via Wellhub (formerly Gympass): nutrition, psychology, occupational health, massage, running groups, and local gym access.
Food and meal allowances (VA/VR) with flexible 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 allowance for children with disabilities, no age limit.
Life insurance.
Private pension plan contribution up to 7% of salary.
Training platform — Sicredi Aprende, offering a variety of courses.
40-hour workweek — using a time bank system.
Remote work allowance (except for positions that are 100% on-site).