Data Scientist

Data & Risk · Latam Remote, All Latam
Department Data & Risk
Employment Type Full-Time
Minimum Experience Mid-level

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 here

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  • Location
    Latam Remote, All Latam
  • Department
    Data & Risk
  • Employment Type
    Full-Time
  • Minimum Experience
    Mid-level