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Data Scientist II

Indeed
Full-time
Onsite
No experience limit
No degree limit
R. São Maurício, 660 - Jardim das Flores, Osasco - SP, 06110-250, Brazil
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Description

Job Summary: Join the Corporate Products Management team as a Data Scientist II, developing and managing financial solutions for businesses, with emphasis on managerial reporting, in-depth analysis, and results optimization. Key Highlights: 1. Work on the development and management of corporate financial solutions 2. Focus on performance analysis, profitability assessment, and optimization 3. Participate in the business's strategic and financial planning **About Bradesco** The Bradesco Group is one of Brazil’s largest financial institutions, distinguished by its pioneering spirit and innovation. Through our broadly diversified portfolio of financial products, banking services, and insurance offerings, we support individuals’ aspirations and foster sustainable growth for companies and society. Join our financial ecosystem and help shape the experience of millions of people! At Bradesco, we value diversity in all its forms. Therefore, all positions are open to everyone, regardless of gender, race, sexual orientation, disability, age, or any other characteristic. Learn more at https://banco.bradesco/html/classic/sobre/index.shtm **Responsibilities and Duties** What is our Corporate Products Team? This area specializes in developing and managing financial solutions tailored to the Corporate (PJ) segment. Our commitment is to deliver products and services that excellently meet the needs of businesses of all sizes—serving both retail and wholesale markets. Work model: Hybrid — 3 days onsite Unit: Osasco/SP **What will your day-to-day look like?** As a Data Scientist II, you will work within the Corporate Products Management team, with the following main responsibilities: * Prepare managerial reports (reports) to monitor KPIs and support decision-making; * Conduct in-depth analyses of products, evaluating performance, profitability, and improvement opportunities; * Monitor actual versus budgeted performance, identifying variances, root causes, and impacts on results; * Develop forecasts and projections to support the business’s strategic and financial planning; * Analyze processes and the customer journey flow, identifying improvement points and optimization opportunities to maximize results. **Requirements and Qualifications** What do you need to have or know? * Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or related fields; * Experience in data analysis and predictive modeling; * Knowledge of machine learning, statistics, and data modeling; * Experience with SQL and/or NoSQL databases; * Hands-on experience with data visualization tools. It would be a plus if you have: * Prior experience in business-oriented projects; * Knowledge of cloud platforms (AWS, Azure, or GCP).

Source:  indeed View original post
João Silva
Indeed · HR

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