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CAS | Data Scientist - Focus on Credit and Business Solutions
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
Praça Mal. Deodoro, 174 - Centro Histórico, Porto Alegre - RS, 90010-300, Brazil
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Description

Joining the Credit and Business Solutions data team means embedding a data-driven culture into daily operations. Here, your main responsibilities will include investigating, mining, correlating, and analyzing information using data science methodologies and techniques. Based on these investigations, 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 jointly coordinated. Therefore, topics and working groups may vary over time. We participate in multiple stages of studies—from subject understanding and formulation of key questions, to searching for relevant data, data structuring, data analysis, and presenting results. **Responsibilities and Duties** * Conduct scenario and business diagnostic studies; * 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; * Collaborate with Data Engineers to improve data acquisition and transformation workflows used in models; * Partner 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 operational teams; * Maintain necessary documentation for your deliverables; * Continuously advance both technical and business knowledge; * Understand and apply statistical and machine learning techniques to propose changes, support decision-making, and embed intelligent models and algorithms into software products; * Extract and process data from diverse sources and at large volumes. **Requirements and Qualifications** * Bachelor’s degree in Engineering, Economics, Statistics, Mathematics, Computer Science, or related fields. * For internal candidates: minimum 6 months’ experience at Sicredi. **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 with 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 data 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 business-area positions we adopt a hybrid work model consolidated as 3 days onsite at the company headquarters located at Av. Assis Brasil, 3940, São Sebastião, Porto Alegre/RS, and 2 days remote. For Tech-area positions, we adopt a fully remote model. _______________________________________________________ At **Sicredi**, you’ll enjoy: 13th and 14th fixed 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; Meal Allowance and Food Voucher—with flexible % allocation across VA/VR cards and no co-payment; Extended maternity and paternity leave; Childcare or babysitter 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 weekly workload—using a time-banking system; Remote Work Allowance (except for roles requiring 100% onsite presence). **Pleased to meet you—we are Sicredi.** Our journey began over 120 years ago as Brazil’s first financial cooperative. Today, we continue growing and transforming daily alongside **over 50,000 employees**. They are the reason we’ve once again been named the **Best Place to Work**, ranking #1 according to Great Place To Work Brazil (GPTW). Together with **over 9 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, driving local and sustainable development, education, and financial inclusion. We continue seeking talents who wish to help build a better world—and we want you on board. **#JoinSicredi!**

Source:  indeed View original post
João Silva
Indeed · HR

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