About PayU PayU, a leading payment and fintech company operating in 50+ high-growth markets across Asia, Central and Eastern Europe, Latin America, the Middle East, and Africa, is part of the Prosus group, one of the world's largest technology investors. We are redefining online buying and selling for our 300,000 + merchants and millions of consumers. As a premier online payment service provider, we support over 400 payment methods and PCI-certified platforms, processing approximately 6 million payments daily. About the role You will be instrumental in designing and deploying advanced data science solutions to identify, analyze, and mitigate fraud and risks in the Latin American market. You will join a high-performing team of data scientists, guiding the development of scalable, data-driven systems to safeguard our organization and customers from fraud. This is a hands-on role emphasizing modeling, experimentation, and analytical problem-solving. What you will do Lead technical initiatives within the Data Science team in Fraud Prevention for Latin America, establishing standards for modeling and analytical rigor. Define technical strategies for key projects, mentor team members, and review model design, code, and evaluation methods. Collaborate with cross-functional teams to translate complex business problems into effective data science solutions. Design and deploy machine learning models for fraud detection, aligning innovation with business goals, robustness, and scalability. Develop and maintain data pipelines using tools like DBT and Snowflake to ensure high-quality data for modeling and analytics. Create dashboards and monitoring tools in Tableau, Power BI, or Kibana to facilitate data-driven decision-making and monitor fraud trends. What you need to succeed Bachelor’s degree in engineering, mathematics, economics, statistics, or related fields. At least 4 years of experience in data science. Hands-on experience developing, training, and deploying machine learning models. Proficiency in SQL for data exploration and transformation. Strong skills in Python and its data science ecosystem. Experience with data visualization platforms such as Tableau, Power BI, or Kibana. Excellent command of English. Experience in data modeling and designing data structures for analytical and machine learning purposes. Familiarity with dimensional modeling, star/snowflake schemas, and cloud data warehouses like Snowflake is highly desirable. About us At PayU, our vision is to build a world without financial borders where everyone can prosper. We provide financial services and products in high-growth markets, extending the reach of financial inclusion. As part of Prosus, one of the largest global tech investors, we have the resources and expertise to make a significant impact. Learn more at www.payu.com . Our Commitment to Diversity & Inclusion As a multicultural organization, we are dedicated to creating a diverse, inclusive, and safe environment for all employees, communities, and customers. Our leaders are committed to fostering transparency, flexibility, and unbiased attention, ensuring everyone feels valued, heard, and empowered to succeed, regardless of gender, race, ethnicity, disability, or LGBTQ identity. We have zero tolerance for prejudice of any kind. #J-18808-Ljbffr