Sobre a vaga
Tackling the complex banking system to empower people in one of the most bureaucratic markets in the world seems like a crazy idea, right? But that's why, how, and where Nubank was born. We fight complexity through our transparent and straightforward products and experiences: a no-fee credit card, a rewards program, a lending platform, and a digital savings account. In a nutshell, we are the most innovative tech company in Latin America, and we are obsessed with building financial services and products that make our customers love us fanatically. With over 40 million customers and $2 billion raised in investment rounds, we are the fastest growing digital bank in the world, with offices in Brazil, Colombia, Germany, Mexico, the US, and Argentina. And it's still only Day One for us!
Our Data Science Team at Nubank
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 the speed of thought decisions possible.
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 global maxima.
We are looking for an inspiring lead to join our Data Science team in a manager position.
As a Data Science Manager, you will have the opportunity to partner with the rest of Nubank to help us innovate with machine learning to optimize the decisions we make and simplify the lives of our millions of customers. With your help, we will build the most defining financial technology company in the world, creating an immense impact for millions of customers. We will disrupt this market and bring competition and efficiency to an industry that urgently needs it.
What will you be expected to do as a Data Science Manager at Nubank?
Data Science Managers at Nubank are responsible for developing and growing high-performing teams of data scientists and ML engineers. They lead by defining the vision of the team and help the team deliver on the vision by setting clear goals and objectives, providing information and context, clearing obstacles, brokering consensus, and working quickly to close gaps in key resources and skills. They attend to the team and individual health and performance by safeguarding the team’s psychological safety, providing clear, specific, timely feedback, taking decisive actions to manage performance, advocating for recognition of the contributions of the team, and protecting the team from unproductive pursuits. They conduct performance reviews, participate in calibration, solicit feedback, and generally perform the administrative functions of people management. As part of a business unit, they are able to translate the business needs, define roadmaps, and lead projects composed by cross-functional teams to deliver results.
What do you need to be successful in this role?
Data Science Managers will generally have strong technical backgrounds in disciplines related to data science since they need to be able to assess technical performance, manage resourcing plans, provide coaching and help their team members grow professionally. However, frequently, their team members may have quite different technical skills and they may work in other squads and tribes. In such cases, DS Managers will have to ensure that they actively solicit input and feedback from experts who share the same technical backgrounds as their reports and from managers and leaders who can assess their performance.
Since much of data science shares work patterns with engineering and software development, DS managers should have a good understanding of the software development lifecycle and the popular tools used in modern systems. They should also understand, at a conceptual level, the specific concerns of the data science modeling life cycle including the steps of data preparation, model training, model management, logging, and monitoring of models in production. Both these dimensions of knowledge will be necessary to manage effectively in this role.
Data Science Managers must also be excellent problem solvers, adept at working across teams of engineers, analysts, product managers, and business leaders in order to address conflict, drive consensus, and make decisions in the best interests of the company. They must be able to help their teams prioritize their work, make smart, timely decisions, and execute at a high level of professional skill, quality, and speed.
Health, dental and life insurances
30 days of paid vacation
Chance of earning equity at Nubank
Parking partnership - discounted parking in our office
Free bike parking with showers available
NuCare - Our mental health and wellness assistance program
NuLanguage - Our language learning program
Extended maternity and paternity Leaves
Child care allowance
‘Espaço Feijão’- Private nursing and breastfeeding spaces in our buildings
Onsite Health Center - Medical support for every Nubanker in our office