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CAS | Data Scientist – Financial Indicators Focus
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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Job Summary: We are seeking a Data Scientist to strategically build, analyze, and forecast financial indicators—transforming data into actionable insights for decision-making. Key Highlights: 1. Focus on building, analyzing, and forecasting financial indicators. 2. Support various organizational areas with essential information for decision-making. 3. Contribute to an integrated view of the institution’s financial performance. We are looking for a Data Scientist to join our team, focusing on building, analyzing, and forecasting financial indicators. This role plays a strategic part in understanding how business activities generate results for Sicredi. As part of the team, you will be responsible for designing predictive models and advanced analyses, supporting various organizational areas with essential information to guide decisions. This includes engaging with multiple business units, understanding their dynamics, and transforming data into relevant insights. We seek a curious, analytical professional capable of connecting numbers, processes, and impacts—one who looks beyond the data to contribute to an integrated view of the institution’s financial performance. **Responsibilities and Duties** * Identify and propose analytical solutions to business problems using statistical and machine learning techniques—with emphasis on applicability and impact. * Develop predictive and propensity models, considering performance criteria, interpretability, and sustainability. * Conduct in-depth exploratory data analyses to identify relevant variables, patterns, and correlations that underpin robust model development. * Collaborate with data engineers to build and optimize data pipelines, ensuring data availability, integrity, and governance. * Validate model applicability with business areas, adjusting approaches according to strategic and operational objectives. * Document processes, decisions, and outcomes to ensure reproducibility and transparency of developed solutions. * Actively contribute to the Data Science Chapter by sharing best practices, proposing improvements, and disseminating knowledge. * Communicate insights and results clearly and confidently, adapting language for diverse audiences and influencing evidence-based decisions. **Requirements and Qualifications** * Advanced proficiency in Python for developing and deploying machine learning models. * In-depth understanding of machine learning model deployment and monitoring techniques. * Experience with Databricks for scalable data processing and model training. * Proficiency in data virtualization concepts and tools such as Denodo. * Intermediate-level knowledge of Teradata for data management and optimization. * Problem-solving skills to optimize and automate machine learning workflows. * Excellent communication skills to convey technical concepts to non-technical stakeholders. * Ability to prioritize tasks and manage multiple projects simultaneously. * Capacity to mentor junior team members and provide technical guidance. * Collaborative mindset to work alongside data scientists, engineers, and business stakeholders. **Additional Information** At the **Sicredi Administrative Center (CAS)**, for roles in business areas, we adopt a hybrid work model consolidated as 3 days on-site 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: 14th and 15th 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 access; Meal and Food Allowances—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 diverse courses; 40-hour weekly workload – using a time-banking system; Remote Work Allowance (except for roles requiring 100% on-site presence). **Nice to meet you—we’re Sicredi.** Our journey began over 120 years ago as Brazil’s first cooperative financial institution. Today, we continue growing and transforming daily alongside **over 50,000 employees**—the people who have once again earned us the title of **Best Place to Work**, ranked #1 by 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, financial education, and inclusion. We continue seeking talents eager 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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