Senior Data Scientist I, Machine Learning

Company Description

Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it’s not just what we build that makes us different. It’s how.

We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow.

Job Description

About the Role

Checkout.com is looking for an experienced data scientist to work on research and development of Machine Learning (ML) models for payments optimization. These algorithms will be deployed to provide real-time payment optimisations – increasing the acceptance rates with issuing banks and therefore maximising the revenue for both Checkout.com and their merchants.

You will join an ambitious team of data scientists and engineers who are working to deliver reinforcement ML models to Checkout.com’s merchants, at scale. Your work will significantly move the needle within a product area that has high strategic importance to Checkout.com.

 

Key Responsibilities

• You will be expected to make contributions to the research & development of new ML models.

• Design and implement experiments to produce actionable insights and improve model performance.

• Collaborate with other data scientists and engineers to productionise ML features/models.

• Write high-quality Python for feature engineering and model training.

Qualifications

About You

• At least 4 years experience developing machine learning models to solve business problems.

• Strong understanding of: machine learning, probability and statistics.

• Experience applying scientific methods and thoughtful experimental design.

• Able to write high quality Python code.

• Experience with SQL databases.

• Experience working with Jupyter Notebooks.

 

Nice to have

• Experience in fintech and/or payments.

• Familiar with distributed general-purpose cluster-computing (e.g. Spark, Dask, Hadoop).

• Experience with Docker.

• Experience with AWS or at least another common cloud platform (GCP/Azure).

Additional Information

Apply without meeting all requirements statement 

If you don’t meet all the requirements but think you might still be right for the role, please apply anyway. We’re always keen to speak to people who connect with our mission and values.

WE ARE ALSO OPEN TO HIRING MID-LEVEL FOR THIS POSITION

 

We believe in equal opportunities

We work as one team. Wherever you come from. However you identify. And whichever payment method you use. 

Our clients come from all over the world — and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success.

When you join our team, we’ll empower you to unlock your potential so you can do your best work. We’d love to hear how you think you could make a difference here with us. 

We want to set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. We’ll be happy to support you.

Take a peek inside life at Checkout.com via

• Our Culture video https://youtu.be/BEwnpHuadSw
• Our careers page https://www.checkout.com/careers
• Our LinkedIn Life pages bit.ly/3OaoN1U
• Our Instagram https://www.instagram.com/checkout_com/

Apply without meeting all requirements statement 

If you don’t meet all the requirements but think you might still be right for the role, please apply anyway. We’re always keen to speak to people who connect with our mission and values.

We believe in equal opportunities

We work as one team. Wherever you come from. However you identify. And whichever payment method you use. 

Our clients come from all over the world — and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success.

When you join our team, we’ll empower you to unlock your potential so you can do your best work. We’d love to hear how you think you could make a difference here with us. 

We want to set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. We’ll be happy to support you.

Take a peek inside life at Checkout.com via

• Our Culture video https://youtu.be/BEwnpHuadSw
• Our careers page https://www.checkout.com/careers
• Our LinkedIn Life pages bit.ly/3OaoN1U
• Our Instagram https://www.instagram.com/checkout_com/