Sr Data Scientist
Montevideo (Remote) / Argentina (Remote) / Ciudad Autónoma de Buenos Aires, Argentina (Remote) / Córdoba (Remote) / Brazil (Remote) / Sao Paulo (Remote)
IT – Payments Intelligence /
Full Time /
Hybrid
Why you should join dLocal?
dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets.
By joining us you will be a part of an amazing global team that makes it all happen, in a flexible, remote-first dynamic culture with travel, health, and learning benefits, among others. Being a part of dLocal means working with 800+ teammates from 25+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.
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?
- 5+ 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.
- Advanced English is a must.
What happens after you apply?
Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process!
