Mid Data Scientist

Posted 21 Days Ago
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Hiring Remotely in CDMX, Cuauhtémoc, Ciudad de México
In-Office or Remote
Mid level
Fintech
The Role
The Data Scientist will develop and enhance machine learning models for underwriting and customer management, conduct experiments, and communicate insights effectively to stakeholders.
Summary Generated by Built In

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.

Top Skills

Aws Sagemaker
Pandas
Python
SQL
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The Company
HQ: Mexico City, Mexico
800 Employees
Year Founded: 2013

What We Do

Konfío is one of the 250 Top Fintechs in the world, according to CB Insights. We are the largest online lending platform for Small and Medium Businesses in Mexico. We help these companies to achieve economic growth through the access of credit solutions with a proprietary algorithm that combines data and technology to measure creditworthiness in a matter of minutes.

In the age of digital data, cloud computing and artificial intelligence, we are moving far beyond lending, to create an array of services, tools and platforms that can help all types of businesses to understand and cease their growth opportunities and to accelerate their workforce so they can compete and respond to the ever changing economic landscapes.

In Konfío, we believe every business man and woman possesses a super power that can help communities, cities and entire families to thrive and achieve a prosperous life. Our main mission is make them unstoppable so no matter how big the dream is they can achieve it.

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