Data Scientist (Machine Learning)

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Our mission

We're making Africa the first cashless continent.

In 2017, over half the population in Sub-Saharan Africa had no bank account. That's for good reason—the fees are too high, the closest branch can be miles away, and nobody takes cards. Without access to financial institutions, people are forced to keep their savings under the mattress. Small business owners rely on lenders who charge extortionate rates. Parents spend hours waiting in line to pay school fees in cash.

We're solving this by building financial services that just work: no account fees, instantly available, and accepted everywhere. In places where electricity, water and roads don't always work, you can still send money with Wave. In 2017, we launched a mobile app in Senegal for cash deposit, withdrawal, and peer-to-peer and business payments. Now, we have millions of users across six countries and are growing fast.

Our goal is to make Africa the first cashless continent and that's where you come in.....

How you'll help us achieve it

Wave is now the largest financial institution in Senegal, with over 7 million users. And, we’re still in the early days of our product roadmap and potential impact on people’s everyday lives.

We’re looking for an experienced Data Scientist with experience in ad hoc data analysis, optimization, and machine learning to join our team. You will work on a wide range of data analysis projects across teams, such as supporting call volume forecasting, optimizing operation field visit schedules to maximize impact, targeted promos for users, improving our fraud models, and more! 

This role is unique in a way that you will collaborate with a wide range of product managers and business leaders to understand their problems and use data science to optimize their operations. We are looking for a data scientist who is product-minded, scrappy and thinks about data in terms of intuitive user behaviours rather than just inputs to a black box model.

In this role you’ll;

Key details

Requirements

You might be a good fit if you

Our team

  • We have a rapidly growing in-country team in Senegal, Côte d'Ivoire, Mali, Burkina Faso, The Gambia, and Uganda, plus remote team members spread across the world.
  • We're deeply passionate about our mission of bringing radically affordable financial services to the people who need them most.
  • We foster autonomy for our employees. You'll own your projects at every stage, from understanding the problem to monitoring your solution in production.
  • We raised the largest Series A in Africa in 2021. Our world-class investors, include Founders Fund, Sequoia Heritage, Stripe, Ribbit Capital, Y Combinator, and Partech Africa.
  • In 2023, we were on Y Combinator's top 50 companies by revenue.

How to apply

Fill out the form below, and upload a resume in English and a cover letter describing your interest in Wave and the role.

We review applications frequently and recommend that you apply to the role that most closely aligns with your skills, experience and career goals.

Wave is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.