* Develop machine learning models directly applied to the product, with a primary focus on recommendation, personalization, and user behavior modeling. * Translate business problems into tangible and measurable statistical solutions, defining hypotheses, metrics, data collection strategy, validation, and rollout. * Work with structured and semi-structured data from Onfly's data ecosystem, including BigQuery, microservices, events, and tactical databases. * Collaborate with Engineering and DataOps on integrating models into analytical and transactional ecosystems, ensuring technical requirements for performance, reliability, and governance (latency, frequency, criticality, observability, and cost). * Conduct experiments and validations in real environments (A/B tests, uplift metrics, product impact). * Advance the company's data science stack by influencing best practices, versioning, monitoring, and governance. * Serve as a technical reference within the science chapter, supporting architecture discussions, feature store implementation, and model consumption via microservices. * Develop and enhance predictive and prescriptive models applied to the product, increasing embedded intelligence across Onfly's ecosystem. **Responsibilities and duties** * Bachelor’s or postgraduate degree in Data Science, AI, or related fields. * Solid experience building and operationalizing machine learning models in production. * Proficiency in Python for data science (pandas, numpy, scikit-learn, XGBoost, LightGBM). * Experience with deep learning and recommendation systems (PyTorch or TensorFlow). * Ability to work with BigQuery or large-scale analytical data warehouses. * Strong foundation in applied statistics, experimentation, and impact measurement. * Practical experience with product-oriented data pipelines (batch and/or near real-time). * Knowledge of model versioning and monitoring. * Intermediate English proficiency for reading and technical updates. **Requirements and qualifications** * Master's or PhD in Data Science. * Prior experience with Vertex AI, Airflow, or MLOps tools. * Experience with microservices-based architectures and API-driven consumption. * Familiarity with recommendation and personalization in digital platforms. * Experience with models related to engagement, risk, credit, or churn. * Active participation in evolving data ecosystems within fast-growing companies. **Additional information** * Hybrid work model (2 days per week onsite, remainder remote). * Flexible working hours. * Meal allowance via flexible card worth R$35 (no 6% discount); * Transportation allowance via flexible card (no 6% discount); * Unimed health insurance, fully covered (no copay, no monthly fee for Onflyers); * Dental plan (discounted monthly fee); * Pharmacy discount; * No dress code; * Online psychotherapy benefit (Vittude); * Gym benefits! (Gympass); * 90% scholarship for language studies; * Annual budget of R$1,000 to spend on training/certifications in your field; * Discounts on undergraduate and postgraduate programs (UNA and UNIBH); * Funeral assistance (Grupo Zelo); * Extended maternity/paternity leave; * R$200 voucher on Onhappy (exclusive platform for discounted travel anywhere in Brazil); * Life insurance. #### **We are the largest B2B Travel Tech in Latin America, and for two consecutive years, we've been ranked among the best places to work in Brazil by Great Place to Work.** #### **With intensive technology use and a strong human touch, we simplify travel and expense management for over 1,600 client companies, bringing greater convenience, savings, and comfort to everyone.** #### **We believe business travel can be simpler with technology. To achieve this, we seek talents for shared learning, high-performance teamwork, and tremendous growth.** #### **We are driven by innovation and believe diverse and inclusive environments create greater impact. Therefore, we offer an open space for everyone and promote opportunities to advance careers.