Senior Data Scientist

Konfío

Senior Data Scientist enhancing underwriting processes and customer management strategies for a fintech company in Mexico. Developing machine learning models and mentoring team members for business insights.

Posted 6/14/2026full-timeRemote • 🇲🇽 MexicoSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudPandasPythonSQL

About the role

Key responsibilities & impact

The primary goal of the Senior Data Scientist is to develop, implement, and maintain machine learning or AI models and algorithms to enhance underwriting processes and customer management strategies.
This role involves continuous improvement and experimentation with models, monitoring their performance, and providing data-driven insights to support business decisions.
Additionally, the role includes participating in strategic decision-making and mentoring other team members.
Design, develop, and implement machine learning models and algorithms for underwriting and customer management.
Design and conduct experiments to enhance existing models, ensuring their accuracy and reliability through rigorous testing, validation, and benchmarking.
Implement monitoring systems to track the performance and quality of models, regularly reviewing and retraining them based on evolving data patterns and business requirements.
Apply advanced analytical methodologies to solve complex business challenges, presenting insights through charts and graphs, and effectively communicating findings to non-technical stakeholders.

Requirements

What you’ll need

A Bachelor's degree in a quantitative field (e.g., Actuary, Mathematics, Physics, Statistics, Computer Science, Data Science, or related field)
5 years of experience performing data analytics.
Proven experience in Data Science (at least 3 years).
Knowledge and experience with ML/AI models.
Strong SQL knowledge.
Production programming experience in Python (Class oriented) and Pandas library.
Cloud Services Knowledge (Preferrable AWS).
Statistics fundamentals: hypothesis testing, parametric models (e.g. generalized linear model, logistic model, time series model, etc), hierarchical models, A/B testing, statistical sampling methods, experiment design, simulation.

Benefits

Comp & perks

A dynamic and collaborative work environment where you can develop your full potential.
Opportunities to learn and grow professionally using cutting-edge technologies.
A passionate and talented team with whom you can share knowledge and experiences.
A competitive compensation package and attractive benefits.
The opportunity to positively impact the lives of thousands of people and contribute to the development of the country.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningAI modelsdata analyticsSQLPythonPandashypothesis testingA/B testingstatistical sampling methodsexperiment design

Soft Skills

mentoringcommunicationstrategic decision-makingdata-driven insights