Data Scientist

Company Description

We’ve arrived, strong and ready to develop a new page in payments history.

We are a group of ambitious people with only one mission at heart: to make the small merchant big. Through technology, innovation and the relentless will to change the status quo in the payments sector, we want to empower our merchants by giving them the tools that they need to succeed.

Our understanding comes from the powerful relationships we cultivate with them. Our goal is to hire better people than ourselves, maintaining the growth line we’ve been having since day one, adding new allies to our mission to disrupt the payments industry and revolutionize commerce in Europe. We hire people based on their true value and their growth capacity, entrepreneurial minds, inquisitive spirits and data-driven brains.

Your Team

A strong and talented team that’s data-driven, inquisitive by heart and supports every decision based on carefully collected and organized information!
Are you excited about helping small businesses reach their full potential? Help us become the best data driven team and deliver on our core objectives.

Job Description

In this role, you’ll be:

• Leading the company with data to drive business solutions
• Working on projects including but not limited to transaction monitoring, customer onboarding, cost to serve and cost to acquire modelling.
• Building predictive models to a production level with reusable code
• Working closely with and guiding the junior data scientists on the team

Qualifications

Your Story

• Background in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, Economics or equivalent)
• 3+ years of professional working experience
• Someone who thrives in developing innovative, state-of-the-art products that can meet and surpass the latest advances in the field
• Proficiency in Python, Amazon SageMaker, SQL, Jupyter Notebook
• Experience with Machine Learning and statistical inference.
• Understanding of ETL processes and data pipelines and ability to work closely with Machine Learning Engineers for product implementation
• Ability to communicate outcomes of Analysis to business stakeholders
• Strong analytical and problem-solving skills
• Ability to think creatively and insightfully about business problems

Nice to have:

• Proficiency in Snowflake.

Additional Information

The Perks

• Competitive salary;

• Health Insurance;

• 25 days of Annual leave (+ Bank holidays);

• Office snacks every day;

• Friendly, comfortable and informal office environment;

• Flexible working hours, as long it suits both you and your team.