Data Science Technical Lead

About PayU PayU, a leading payment and Fintech company in 50+ high-growth markets throughout Asia, Central and Eastern Europe, Latin America, the Middle East and Africa, part of Prosus group, one of the largest technology investors in the world is redefining the way people buy and sell online for our 300.000+ merchants and millions of consumers. 
As a leading online payment service provider, we deploy more than 400 payment methods and PCI-certified platforms to process approximately 6 million payments every single day. 

About the role

• As a Data Science Technical Lead, you will play a critical role in designing and deploying advanced data science solutions to identify, analyze, and mitigate fraud and other risks across the Latin American market. You will be part of a high-performing team of data scientists, where your expertise and technical leadership will guide the development of scalable, data-driven systems to protect the organization and its customers from fraud. This is a hands-on role with a strong focus on modeling, experimentation, and analytical problem-solving. 

What you will do

• Be a technical leader within the Data Science team in the Fraud Prevention department for Latin America, setting standards for modeling excellence and analytical rigor. 
• Define the technical approach for key data science projects, mentoring team members and providing deep reviews of model design, code, and evaluation techniques. 
• Collaborate with cross-functional teams to translate complex business problems into robust data science solutions. 
• Design and implement machine learning models for fraud detection, balancing innovation and alignment with business objectives with robustness and scalability. 
• Build and maintaindatapipelines using tools like DBT and Snowflake to ensure high-quality, reliable data foundations for modeling and analytics. 
• Enable data-driven decisions by developing dashboards and monitoring tools in Tableau, Power BI, or Kibana for performance and fraud trends. 

What you need to succeed

• Bachelor’s degree in engineering, mathematics, economics, statistics, or a related field. 
• 4+ years of experience in data science. 
• Strong hands-on experience developing, training, and deploying machine learning models. 
• Advanced SQL for data exploration, transformation, and aggregation. 
• Proficiency in Python and its data science ecosystem. 
• Familiarity with data visualization platforms such as Tableau, Power BI, or Kibana. 
• Advanced English level. 
• Experience in data modeling, including the design of data structures to support analytical and machine learning use cases.  
• Familiarity with dimensional modeling, star/snowflake schemas, and cloud data warehouses such as Snowflake is highly desirable. 

About usAt PayU, we are a global fintech investor and our vision is to build a world without financial borders where everyone can prosper. We give people in high-growth markets the financial services and products they need to thrive. Our expertise in 18 high-growth markets enables us to extend the reach of financial services. This drives everything we do, from investing in technology entrepreneurs, to offering credit to underserved individuals, to helping merchants buy, sell and operate online. Being part of Prosus, one of the largest technology investors in the world, gives us the presence and expertise to make a real impact. Find out more www.payu.com 
Our Commitment To Building A Diverse And Inclusive Workforce As a global and multi-cultural organization with varied ethnicities thriving across locations, we realize that our responsibility towards fulfilling the D&I commitment is huge. Therefore, we continuously strive to create a diverse, inclusive and safe environment, for all of our people, communities and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility and unbiased attention to each and every PayUneer so they can succeed, irrespective of gender, color or personal faith. An environment where every person feels they belong, that they are listened to, and where they are empowered to speak up. At PayU we have zero tolerance towards any form of prejudice whether a specific race, ethnicity, or of persons with disabilities or the LGBTQ communities.