Senior Data Scientist

About Kueski At Kueski, we're dedicated to improving the financial lives of people in Mexico. Since 2012, we've been the leading buy now, pay later (BNPL) and online consumer credit platform in Latin America, known for our innovative financial services. Our flagship product, Kueski Pay, provides seamless payment solutions for both online and in-store transactions, establishing itself as the preferred option for nearly 30% of Mexico's top e-commerce merchants. Notably, we were the first to introduce BNPL on Amazon Mexico. We're a tech company with a culture geared toward innovation, collaboration, and impact, fostering a strong, diverse, and inclusive workplace. Our commitment to excellence and ethical business practices has earned us multiple industry recognitions. In 2024, we were named one of the World’s Top FinTech Companies by CNBC and recognized as one of the most ethical companies in Mexico by AMITAI. Additionally, we were certified as a Best Place to Work for LGBTQ+ Equality by HRC Equidad MX 2025 and ranked among the Best Companies for Female Talent by EFY. Position Kueski is seeking a Senior Data Scientist based in Guadalajara to develop and improve machine learning solutions that directly shape our products and customer experiences. This role is ideal for an analytical and pragmatic Data Scientist with strong quantitative foundations who is passionate about applying machine learning to product development and solving meaningful business problems. You will combine machine learning, deep-dive analytics, experimentation, and strong business understanding to develop and improve our products. You will own machine learning models throughout their lifecycle, from experimentation and feature engineering to production monitoring and continuous improvement, while contributing to structured and reliable ML pipelines using modern open-source technologies and cloud-based tools. You will work autonomously with cross-functional teams, provide technical input throughout the product development lifecycle, and help raise the technical capabilities and performance of the broader team. Key Responsibilities Build and improve Kueski’s products through machine learning and data analytics, partnering with Product, Engineering, Risk, and Business teams Own production ML models end-to-end, monitoring performance, analyzing user and model behavior, and addressing anomalies or underperformance Leverage AI-enabled tools and emerging AI capabilities to accelerate analysis, experimentation, and model development, while identifying opportunities to improve products and business outcomes Develop model experiments and features, and contribute to reliable, well-documented production ML pipelines Provide Data Science expertise throughout the product development lifecycle, including defining requirements for engineering work that impacts ML solutions Work autonomously across teams to design and deliver high-impact product enhancements Mentor team members, promote technical excellence through pairing and code reviews, and support technical recruiting when needed Collaborate with Machine Learning and Software Engineers to strengthen testing and quality processes for production models Experience Quantitative background such as Engineering, Physics, Mathematics, or equivalent practical experience Hands-on experience using AI-powered tools and emerging AI technologies to improve Data Science workflows, experimentation, analysis, or product solutions Strong analytical and communication skills, with the ability to explain complex topics to technical and non-technical audiences Advanced understanding of machine learning and hands-on experience applying ML in academic or industry settings Proven ability to solve business problems with cross-functional teams and influence stakeholders constructively Demonstrated autonomy delivering high-impact Data Science projects, contributing to team performance, and mentoring juni