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Data Science Specialist
Indeed
Full-time
Onsite
No experience limit
No degree limit
Patriarch Square, 62 - Historic Center of São Paulo, São Paulo - SP, 01002-010, Brazil
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Description

Job Summary: We are seeking a Data Science professional to define roadmaps, conduct research and innovation, serve as a technical reference in predictive modeling and data engineering, with a focus on risk and fraud. Key Highlights: 1. Expertise in Data Science, AI/ML, and advanced predictive modeling. 2. Development of fraud detection and AML systems. 3. Culture of collaboration, innovation, and leadership. When you think about your career, what comes to mind? Purpose? Collaboration? Being a leader who makes a difference? At PagBank, we have all this—and much more. We are looking for people who proudly wear the jersey—individuals eager to simplify people’s financial lives and drive business growth! Ready for a career that yields greater returns? **Check out this opportunity and \#JoinPagBank!** **Responsibilities and Duties** * Assist in defining roadmaps and strategies for Data Science (AI/ML). * Research and innovate new approaches and methodologies. * Serve as a technical reference in predictive modeling and data engineering. * Actively participate in technical conferences and events. * Master business domain mapping, business knowledge, and alignment with Data Science solutions. * Design and implement complex risk assessment models across a wide range of scenarios (loans, credit, fraud). * Implement real-time fraud detection systems using deep learning models. * Analyze and build state-of-the-art anti-money laundering (AML) systems, leveraging predictive analytics to identify suspicious behaviors and patterns. **Requirements and Qualifications** * Advanced proficiency in Python, SQL, and Spark, complemented by knowledge of code architecture, parallelization, performance optimization, and automation. * Experience with architecture and large-scale machine learning pipelines (MLOps, Data Engineering applied to ML, and feature store). * Advanced expertise in building target books within the risk domain and constructing covariate books (Feature Engineering and Feature Store). * Extensive and solid experience applying Machine Learning to risk management. * Proficiency in advanced Deep Learning, Machine Learning, and AI techniques. * Knowledge of GitHub. * Expertise in risk mitigation strategies and long-term customer behavior forecasting. **Additional Information** **To stand out in this role, it would be great if you also had:** * Experience in risk or related areas. You might know us from our card machines or memorable commercials—but we’re much more than that! Every day, we develop products and solutions inspired by our purpose: simplifying people’s and businesses’ financial lives. We work to transform how people manage money, opening new possibilities for them to achieve their dreams. **How do we do all this?** **With People** We are a team that plays together! Here, we value all forms of diversity—be it race/ethnicity, gender, age, origin, disability, sexual orientation, family composition, or aesthetics. **With Technology** A disruptive and innovative spirit is in our DNA: we are part of UOL Group, a 100% Brazilian company, a pioneer in the internet space, transforming people’s lives since 1996. **With One Culture** We have a strong, unique culture capable of taking us further—enabling continued growth and perpetuation of our business. **We are one of the largest digital banks in the country and one of the most profitable fintechs in the sector.** **To experience all this, you’ll receive a comprehensive benefits package that truly makes a difference:** * Meal allowance and/or food voucher. * Health and dental insurance. * Life insurance. * Partnerships with TotalPass and ZenKlub. * Extended maternity and paternity leave. * Childcare allowance. * Discounts of up to 50% on postgraduate programs and MBAs offered by top institutions such as FIA, FAAP, and PUCRS. **And more:** * No dress code: wear whatever makes you feel good. * \#HappyBirthday: Birthday day off. * Baby Gift: gift for newborns. **Ready for a career that yields greater returns?** Join our unbeatable team! **\#JoinPagBank.**

Source:  indeed View original post
João Silva
Indeed · HR

Company

Indeed
João Silva
Indeed · HR
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