.Who We AreWe are the financial technology company in Mexico that has helped more than 70k customers to make their plans come true.Our purpose is to support small and medium enterprises in the country to fulfill their dreams, through our solutions (financing, credit card and payments) to help solve their main problems, seeking to be the best ally of entrepreneurs, contributing to the community, the country and the world.About the Data Science TeamWe are a high-performance team committed to follow best practices, both in modeling and programming, to ensure that our deliverables are of the highest quality.Our mission at Konfio is to work intelligently, utilizing data, statistics, and models to innovate while simultaneously generating value for Konfio.As part of the team, you will be able to leverage your knowledge and creativity to contribute to this mission, and at the same time, you will be improving and learning, since we are independent professionals but share knowledge and collaborate with each other.Currently we have robust processes, but that doesn't mean we can't improve them, so proactivity and experimentation are really encouraged / very welcome.About the RoleWe are particularly interested in individuals who consistently seek improvements and generate innovative ideas. And we expect them to be very independent, capable of proposing solutions and requiring little guidance from her or his leader.We will give particular emphasis in our selection process for those candidates who not only possess technical expertise but also stand out in effective communication and can transmit complex technical concepts with clarity.This skill is essential for ensuring successful project outcomes and assure a clear understanding inside and outside the team.Additionally, the ideal candidate should be an excellent team player and actively contribute to promote an inclusive and diverse work environment.ResponsibilitiesDevelop and implement new machine learning models and algorithms for underwriting and customer management.Maintain existing models and conduct experiments to improve them.Test, validate and benchmarking is essential to ensure their accuracy and reliability.Implementing monitoring systems to track model performance and quality over time. Regularly review and retrain models based on evolving data patterns and business requirements.Apply advanced analytical methodologies and perform comprehensive analysis to address complex business challenges. Design and present evidence-based insights through charts and graphs, and communicate findings effectively to non-technical stakeholders.Clearly articulating the implications of data-driven decisionsDevelop and scale analytic in-house python libraries for internal use cases.Create clear and detailed documentation of the methodology and obtained results to ensure replicability and to facilitate understanding by other team members
