Who we are Aplazame is the business of WiZink Bank that offers flexible payment methods that enable merchants to maximize their sales and conversion rates through instant financing options. Customers also benefit from the power of spreading the cost of their purchases. Aplazame features multiple products available for online and in-store purchases. We aim to build simple financing products, transparent and fair that enable our customers to purchase the things that make them happy through responsible lending, no hidden fees and an exceptional customer experience. In order to continue growing, we'd love to find a Data Scientist for our Data Team. What you'll do: Investigation of improvements to existing models: hypothesis proposal, investigation and actionable conclusions. Development of new previously non-existent models for which interesting solutions must be proposed. For example, recommendation systems, marketing channel optimization, A / B testing measurement with multi-arms bandits or anomaly detection are some of the challenges that we have to solve. Development with Python in AWS. We make Data Science and therefore we make (good) software. Communication with the rest of the areas. We are a cross-functional team and we interact with all the areas and intend to convey. Participating in the improvement of the strategic plan and adding ideas to the backlog is part of your responsibility. We have a complex and challenging product which requires witty solutions. We work a lot with Product teams in order to create a data-based product long-term vision. Growth and development of analytical team. Interaction with other DS teams. Who you are: The essentials: Very fluent handling of DS stack in Python. You're eager to learn new technologies. Statistical knowledge, especially in complex scenarios like estimations with censored data, non-random sampling or rare event sampling. We like to understand what's happening under the framework. Good Python: if you believe design and style is much more than aesthetics, this is your place. Teamwork and ability to communicate: we're not rockstars, we work with a lot of people, we understand them and we make ourselves understood. Intellectual curiosity oriented to solving complex problems and not completely defined. Experience with risk scoring and fraud, knowledge about the financial industry. Nice to have: Experience with bayesian modelling, sequential decision making and reinforcement learning. A/B testing for online products. Knowledge of recommendation systems with various sources, especially historical (Collaborative Filtering) and descriptions ( NLP Content-Based). Other relevant aspects: Knowledge of architecture and engineering, especially AWS and containers management using Kubernetes. Knowledge of MLOps lifecycles using Kubeflow, MLFlow Experience developing web services. What do we offer? Permanent contract. Possibility of flexible hours and remote/presential work. Competitive conditions. Financial and non-financial benefits. Job application and recruitment process: If this position interests you, please upload a recent copy of your CV. We believe that equal opportunity means inclusion, diversity and fair treatment for all. We welcome suggestions on any issues that may help us to improve our recruitment process.