The role involves data mining, building machine learning models, researching methodologies, communication of results, and collaboration with teams to enhance the platform.
Why should you 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 1000+ teammates from 30+ 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.
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 do we offer?
Besides the tailored benefits we have for each country, dLocal will help you thrive and go that extra mile by offering you:
- Remote work: work from anywhere or one of our offices around the globe!*
- Flexibility: we have flexible schedules and we are driven by performance.
- Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity.
- Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded.
- Learning & development: get access to a Premium Coursera subscription.
- Language classes: we provide free English, Spanish, or Portuguese classes.
- Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections!
- dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back!
*For people based in Montevideo (Uruguay) applying to non-IT roles, 55% monthly attendance to the office is required
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!
Also, you can check out our webpage, Linkedin, Instagram, and Youtube for more about dLocal!
Top Skills
Aws Ecs
Aws Glue
Aws Sagemaker
Python
Spark
SQL
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