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Data Scientist [All Levels]

Nubank

Data Scientist [All Levels]

Nubank

Brazil, Belo Horizonte; Brazil, Campinas; Brazil, Rio de Janeiro; Brazil, Sao Paulo

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Equity

Free Meals

Commuter Benefits

Mental Health

Healthcare

Learning Budget

Parental Leave

Home Office Stipend

Gym

Equity

Meals

Commuter

Mental Health

Healthcare

Learning

Parental Leave

Home Office

Gym

Required Skills

Python

Machine Learning

Statistics

Linear Algebra

NumPy

Pandas

Scipy

Sklearn

TensorFlow

PyTorch

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 https://international.nubank.com.br/careers/

Data Science at Nubank:

Data Science is essential to every part of the business at Nubank, since Day 1. Most areas of the company use data science to some extent. Data Scientists are responsible for translating business needs into models and other types of data-driven solutions.

As a Data Scientist, you’re expected to

  • Interact with other team members to understand how to best apply data science and artificial intelligence to Nubank’s problems;

  • Investigate problems and discover insights through exploratory data analysis and other quantitative methods;

  • Have great numerical and analytical literacy, including knowledge of statistics and linear algebra as needed;

  • Work on multiple stages of the ML model lifecycle–from ideation to training and steady-state operation;

  • Work across multiple types of models, algorithms and learning paradigms;

  • Communicate technical points, decisions and tradeoffs to peers and stakeholders;

  • Our ideal candidate

  • Has experience working with ML models in a production environment;

  • Understands possible pitfalls and tradeoffs when applying ML to real-word, sometimes messy problems;

  • Is familiar with the technical aspects of learning theory and algorithms and is able to discuss details if needed;

  • Has experience working with the Python scientific stack (Numpy, Pandas, Scipy, Sklearn, Boosted Tree Libraries, etc);

  • Has experience working with Tensor/Deep Learning libraries such as Tensorflow and Pytorch;

  • Is able to connect analytical outcomes to business priorities and advise stakeholders on the best course of action;

  • Has good communication skills and is able to convey technical topics and decision points to diverse audiences;

  • Has experience writing general-purpose code using modern tools;

  • Understands the implications of causality when applying ML to problems;

  • Is up-to-date with recent developments in the area as a whole and is able to identify opportunities for improvement and innovation;

Our Benefits

  • Chance of earning equity at Nubank

  • Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)

  • Public Transportation Commuting Benefit (Vale-Transporte)

  • Nu Care – Psychological, Financial and Legal Assistance Program

  • Life Insurance

  • Medical Plan

  • Dental Plan

  • Nu Language – Language Course Program

  • Nucleo

  • Our learning platform of courses

  • Extended Parental Leave

  • Daycare Allowance

  • Parental Consultancy

  • Work-from-home Allowance

  • Gym Partnerships

  • 30 days of paid vacation

Work Model for this RoleHybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

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About Nubank

Nubank

Nubank

Public

Nubank is a Brazilian neobank headquartered in São Paulo, Brazil. Although it is not formally part of Brazil’s National Financial System, Nubank operates as a financial and payment institution regulated and supervised by the Central Bank of Brazil.

5,001-10,000

Employees

Brazil

Headquarters

$45B

Valuation

Reviews

4.2

19 reviews

Work Life Balance

4.2

Compensation

4.0

Culture

4.5

Career

4.3

Management

3.8

78%

Recommend to a Friend

Pros

Good compensation and salary

Collaborative and supportive team

Remote work flexibility

Cons

Internal competition for promotions

Salary disparities between employees

Limited negative feedback available

Interview Experience

3 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

67%

Experience

Positive 67%

Neutral 33%

Negative 0%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical/Role Interview

4

Final Round Interview

5

Team Matching

6

Offer

Common Questions

Behavioral/STAR

Technical Knowledge

Product Strategy

System Design

Culture Fit