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Senior Data Scientist

AT Nubank
Nubank

Senior Data Scientist

Mexico City, Mexico



About Us


Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world’s largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia. For more information, visit our institutional page.



Our Data Science Chapter



At Nubank we aim to empower our customers to take control of their financial lives. The Data Science team develops models and leverages its expertise to provide the best experience and products, using statistics, Artificial Intelligence and lots of creativity to predict our customers' behaviors. Our team strives for cutting edge model development techniques, from Machine Learning to Reinforcement Learning and beyond. We're partnering with business and technology to make speed of thought decisions possible.

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Principles


As a Chapter, we identified a set of principles that guide behaviors we admire in each other and we pursue as a team:



  • Diverse ensembles don't overfit;

  • We reinforce each other's learning;

  • Mind the person behind the data point;

  • We share the same objective function;

  • We trust our confidence interval;

  • Pursue the global maxima.



We believe in:



  • Good team chemistry;

  • Enthusiasm for building and delivering new features and products;

  • Passion for learning new things while constantly improving what we are already good at;

  • Collaborating efficiently to ship a great product experience to our customers.



The position


We are looking for a Senior Data Scientists to integrate the team and develop data-based solutions for customer acquisition and marketing.



Once here, you will:



  • Integrate the Growth team, which owns the customer acquisition stage, paid marketing, and growth strategies;

  • Translate complex business challenges into specific and well-designed machine learning solutions that meet business requirements;

  • Design the implementation of experiments;

  • Integrate and leverage external data sources to feed our models;

  • Provide technical guidance for more junior team members;

  • Ensure the team maintains a high level of technical excellence;

  • Contribute to a technical culture in the local team.



Things you'll need to thrive in this role:



  • Strong coding skills Python/Scala or equivalent languages;

  • Experimental design skills;

  • Ability to interact and communicate effectively with business and engineering;

  • Good understanding of model development and deployment pipeline;

  • Experience with machine learning tools and libraries such as Scikit-learn, Mllib and etc;

  • Nice data handling skills, Spark Dataframes, or SQL proficiency is a plus;

  • English language proficiency.



Our Benefits



  • Chance of earning equity at Nubank

  • Extended maternity and paternity leaves

  • Health and life insurance

  • NuCare - Our mental health and wellness assistance program

  • Nucleo - Our learning platform of courses

  • NuLanguage - Our language learning program

  • Holiday Bonus ("Aguinaldo") of 30 days of pay per year

  • 17 days of paid vacation with 25% vacation bonus

  • Gym partnership



Our Nu Way of Working


Our work model is hybrid and has cycles that can be from two to three months according to the business of ​​expertise. For every eight or twelve weeks of remote work, one will be at the office. Check more information here.



Diversity & Inclusion


At Nu, we want to be sure that we're building a more diverse and inclusive workplace that reflects the customers we serve and seek to empower. That's why we hire based on equality. We consider gender, ethnicity, race, religion, sexual orientation, and other identity markers as enriching elements to our company while ensuring neither of them represent a barrier when recruiting fantastic talent.






Client-provided location(s): Mexico City, CDMX, Mexico
Job ID: 170bdb32fae6a2f5e27cf490a3a650d65591fc98c64572b473336908d23ab722
Employment Type: Other