Mid Data Scientist

konfioยท Credit
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๐Ÿ“ CDMX, Miguel Hidalgo, Mexico๐Ÿ“ HybridFull Time

About this role

Join the Fintech revolution and build the future of finance in Mexico!


Who are we?

We are the leading financial technology company in Mexico, empowering more than 70,000 clients to achieve their dreams. Our mission is to empower the country's small and medium-sized enterprises with innovative solutions (financing, credit card and payments) to overcome their challenges and turn them into the engines of economic growth. We aspire to be the ideal ally of entrepreneurs, contributing to the development of the community, the country and the planet.

Your Mission, Should You Choose to Accept It:

The primary goal of the Data Scientist in Risk Management is to develop, implement, and maintain machine learning models and algorithms to enhance underwriting processes and customer management strategies. This role involves continuous improvement and experimentation with models. This role involves working closely with the Lead or Manager Data Scientist, as the middle position is not completely independent and requires assistance and guidance.

  • Model Development and Implementation: Design, develop, and implement machine learning models and algorithms for underwriting and customer management.
  • Model improvement: Conduct experiments to enhance existing models, ensuring their accuracy and reliability through rigorous testing, validation, and benchmarking.
  • Analytics and Communication: Apply advanced analytical methodologies to solve complex business challenges, presenting insights through charts and graphs, and communicating findings to non-technical stakeholders.


What We're Looking For:

  • Basic qualification: Degree in a quantitative discipline (e.g., Actuary, Mathematics, Physics, Statistics, Computer Science, or related field).
  • Proven experience in Data Science (at least 2 years).
  • Knowledge and experience with Machine Learning models. Knowledge of SQL. Experience in production programming in Python and Pandas library. AWS SageMaker
  • Statistics fundamentals: most common distributions, generalized linear models, hierarchical models (desirable), A/B testing, bootstrap, experiment design, simulation.
  • Advanced english (must).


What We Offer:

  • 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.

Frequently Asked Questions

Is the salary disclosed for the Mid Data Scientist position at konfio?
The salary for this Mid Data Scientist role at konfio is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Mid Data Scientist position at konfio located?
This Mid Data Scientist role at konfio is based in CDMX, Miguel Hidalgo, Mexico, Hybrid. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Mid Data Scientist role at konfio full-time or part-time?
This is listed as a Full Time position. It is posted as a Mid Data Scientist role in the Credit department at konfio.
Which team or department does the Mid Data Scientist at konfio belong to?
This Mid Data Scientist position is part of the Credit department at konfio. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Mid Data Scientist position at konfio?
Click the "Apply Now" button on this page. You will be redirected to konfio's official application portal hosted on bamboohr where you can submit your application directly.
When was the Mid Data Scientist job at konfio posted?
This Mid Data Scientist position at konfio was posted on Dec 4, 2025. Apply as soon as possible โ€” early applications are often reviewed first.
Mid Data Scientist
konfio
Apply for this role โ†—

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