dLocal is the #1 payments leader focused on emerging markets and helps some of the best companies in the world expand in emerging countries. Global brands such as Amazon and Zara rely on us to increase conversion by eliminating complexity and managing their payments expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it simple and risk-free for our client partners to make inroads into the world’s fastest-growing, emerging markets.

What’s the opportunity?

Data Scientist’s role is to solve business problems with machine learning and statistics solutions.

What will I be doing?

• Mine data and extract information in d-local’s data environment.
• Build machine learning models, optimization solutions and statistical inference techniques for anomaly detection, fraud detection, etc.
• Research, prototype, and test new methodologies for measuring effectiveness and building predictive algorithms.
• Communicate results on a regular basis to partners around the world.
• Collaborate with other data scientists, data engineers, and other teams to develop data driven improvements to our platform.

What skills do I need?

• 2+ years of hands-on data science in applied machine learning and statistics.
• Proven experience as Data Scientist, ML engineer, or Data Engineer.
• Advanced knowledge of SQL, Python, and Spark.
• Experimentation – AB testing.
• Experience in AWS services like SageMaker, ECS, Glue, and more to build and deploy scalable machine learning models in the cloud is a plus.
• Experience in payments or other financial systems is a plus.
• Flexibility and proven ability to juggle multiple data science projects at a time, while maintaining sharp attention to detail.
• Team player – can effectively participate as an effective team member.
• Curious profile and positive attitude.