Joining the Credit and Business Solutions Data Team means embedding a data-driven culture into daily operations. Your main responsibilities will include investigating, mining, correlating, and analyzing information using data science methodologies and techniques. Based on these analyses, you will build metrics and indicators, design processes, conduct studies, and use the results to create or refine Credit and Business Cycle strategies. We maintain continuous contact with other departments and Credit Cooperatives, as our deliverables are developed collaboratively. Therefore, topics and working groups may change over time. We engage in multiple stages of studies — from understanding the subject, formulating key questions, searching for relevant data, structuring the data, analyzing it, to presenting the results. **Responsibilities and Duties** * Conduct scenario studies and business diagnostics; * Develop and support teams in measuring outcomes, identifying opportunities, trends, and patterns within datasets; * Proactively propose hypotheses and solve problems using data science; * Present and communicate analyses in non-technical terms; * Partner with Data Engineers to improve data acquisition and transformation pipelines used in models; * Collaborate with Data Analysts to generate business insights and guide information analysis toward optimal strategic decisions; * Prioritize model quality, performance, and sustainability; * Participate in the Data Science *Chapter*, encouraging and promoting data culture across colleagues and teams within our operations; * Maintain necessary documentation for your deliverables; * Continuously evolve both technically and in business knowledge; * Understand and apply statistical and machine learning techniques to propose improvements, support decision-making, and embed intelligent models and algorithms into software products; * Extract and process data from diverse sources and at large scale. **Requirements and Qualifications** * Bachelor’s degree in Engineering, Economics, Statistics, Mathematics, Computer Science, or related fields. **TECHNICAL KNOWLEDGE DESIRED FOR THIS POSITION** **Programming and Tools** * Languages for advanced analytics (SQL, R, Python) * Version control and CI/CD tools (Git, GitLab or similar) * ML/AI frameworks (TensorFlow, PyTorch, Scikit-learn) **Modeling and Statistics** * Advanced statistics applied to data science (inference, hypothesis testing, multivariate analysis) * Statistical and econometric modeling (regressions, time series, survival models) * Experience in production environments (model deployment, MLOps, monitoring) **Infrastructure and Data** * 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) **Governance** * Data governance and LGPD compliance **Soft Skills** * Clear and concise communication * Empathy and collaboration * Critical and analytical thinking * Problem-solving focus **Additional Information** At the **Sicredi Administrative Center (CAS)**, for positions in business areas, we adopt a hybrid work model consisting of 3 days per week on-site at our headquarters located at Av. Assis Brasil, 3940, São Sebastião, Porto Alegre/RS, and 2 days remotely. For Tech-area positions, we adopt a fully remote model. ________________________________________________________________________________ At **Sicredi**, you’ll enjoy: Fixed 14th and 15th salaries; Profit-sharing (based on seniority); Health and dental plans with no co-payment; Well-being programs via Wellhub (formerly Gympass), Nutrition, Psychology, Occupational Health, Massage, Running Group, and local gym access; Meal and Food Allowances — with flexible % allocation between VA/VR cards, no co-payment; Extended maternity and paternity leave; Childcare or babysitting allowance for children up to 6 years and 11 months old; Support for children with disabilities, with no age limit; Life insurance; Private pension plan covering up to 7% of salary; Training platform — Sicredi Aprende — offering numerous courses; 40-hour weekly workload — using a time-banking system; Remote work allowance (except for positions requiring 100% on-site presence). **Nice to meet you — we are Sicredi.** Our journey began over 120 years ago as Brazil’s first financial cooperative. Today, we continue growing and evolving daily alongside **more than 50,000 employees**. They are the reason we’ve once again been ranked **Best Place to Work**, holding the #1 position according to Great Place To Work Brazil (GPTW). Together with **over 10 million members** across all Brazilian states, we believe in the power of cooperation to **build a more prosperous society and generate positive impact in people’s lives** — a purpose that unites and inspires us, fostering local and sustainable development, education, and financial inclusion. We’re continuously seeking talent eager to help build a better world — and we want you on board. **#JoinSicredi!**
João Silva
Indeed · HR
João Silva
Indeed · HR
