R2

Embedded lending infrastructure

Data Scientist

Location
Mexico / Colombia / Chile / Argentina / Brazil / Uruguay / Remote
Job Type
Full-time
Experience
1+ years
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About the role

Who We Are

At R2, we believe that small and medium businesses are the productive engine of society. Small and medium businesses (SMBs) make up over 90% of companies in Latin America, yet they face a trillion-dollar credit gap. Our mission is to unlock SMBs’ potential by providing financial solutions that are tailored to their needs. We are reimagining the financial infrastructure of Latin America - where SMBs financial needs are satisfied without ever having to go to a bank.

R2 enables platforms in Latin America to embed financial services that SMBs can then leverage (starting with revenue-based financing and buy now pay later for business customers). We are a tight knit team coming from organizations such as Google, Nubank, Uber, McKinsey & Co., Mercado Libre, Globant, J.P. Morgan, Clip, and Ualá. We are backed by world-class investors such as Gradient Ventures (Google’s AI-focused fund), General Catalyst, Y Combinator, Femsa Ventures, PayU, among others.

What you’ll work on

  • Building data structuring, cleaning, and enriching processes from a wide variety of data sources.
  • Making descriptive analysis of merchant-related and transactional-related data.
  • Process transactional data with various approaches, including feature-based and time-series, approaches.
  • Stating hypotheses and testing them using basic statistical tests.
  • Building supervised models (such as regression and classification models), and unsupervised models (such as clustering and dimensionality reduction models), mostly aligned with the credit risk capability.
  • Collaborate in the development of deployment frameworks for machine learning models at scale.

Who you are

  • You have at least two years of experience with data science in theoretical and practical levels.
  • You have strong programming abilities (structured, object-oriented, and/or event-oriented programming) and are very comfortable programming in Python/R and SQL.
  • You have strong statistical and mathematical knowledge, including linear algebra, calculus, and statistical inference, among other topics.
  • You have built regression and/or classification models in the past for solving financial problems.
  • You are comfortable consuming data through APIs, SFTP, or straight-up CSVs.
  • You have deployed machine learning models in cloud architectures (AWS preferably) in the past.
  • You have an owner mindset: you care about getting to the bottom of how to make a startup successful.
  • You understand every problem as an opportunity for analyzing and learning.

To be considered a strong candidate, you (besides the former points):

  • Know how to implement machine learning pipelines, from data acquisition to model deployment.
  • Have worked with unsupervised learning techniques, such as clustering and/or dimensionality reduction.
  • Have stated and tested hypothesis (such as normality and causality) using the appropriate testing frameworks.

**Does this position sound like a good fit? Apply at the link below: https://r2capital.bamboohr.com/jobs/view.php?id=36&source=bamboohr

Why you should join R2

R2 enables platforms to offer flexible financing to their merchants in Latin America

These merchants are typically small and medium businesses (SMBs), which make up over 90% of companies in Latam yet face a trillion-dollar credit gap. At R2, we believe that SMBs are the productive engine of society.

Our mission is to unlock their potential by providing financial solutions that are tailored to their needs, right where they buy and sell. We are reimagining the financial infrastructure of Latin America - where SMBs financial needs are satisfied without ever having to go to a bank.

R2
Founded:2020
Team Size:30
Location:Mexico City, Mexico
Founders
Roger Larach
Roger Larach
Founder
Roger Teran
Roger Teran
Founder