Overview
Join to apply for the Senior Data Scientist role at 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. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to enter world’s fastest-growing, emerging markets. You will be part of a global team in a flexible, remote-first culture with travel, health and learning benefits. We value a diverse team of 1000+ teammates from 30+ nationalities and encourage international career impact.
Responsibilities
- 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
Qualifications
5+ years of hands-on data science in applied machine learning and statisticsProven experience as Data Scientist, ML engineer, or Data EngineerAdvanced knowledge of SQL, Python, and SparkExperimentation – AB testingExperience in AWS services like SageMaker, ECS, Glue, and more to build and deploy scalable machine learning models in the cloud is a plusExperience in payments or other financial systems is a plusFlexibility and proven ability to juggle multiple data science projects at a time, while maintaining sharp attention to detailTeam player – can effectively participate as an effective team memberCurious profile and positive attitudeAdvanced English is a mustWhat we offer
Remote work : work from anywhere or one of our offices around the globeFlexibility : flexible schedules and performance-driven environmentFintech industry : dynamic and evolving environment to boost creativityReferral bonus programLearning & development : Premium Coursera subscriptionLanguage classes : free English, Spanish, or Portuguese classesSocial budget to engage with your teamdLocal Houses : support for temporary worldwide coworking with your teamFor non-IT roles in Montevideo : 55% monthly attendance to the office may be requiredWhat happens after you apply
Our Talent Acquisition team is invested in creating the best candidate experience possible. We will review your CV and keep you posted by email at every step of the process. You can also check out our webpage, LinkedIn, Instagram, and YouTube for more about dLocal.
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Job details
Seniority level : Not ApplicableEmployment type : Full-timeJob function : Engineering and Information TechnologyJ-18808-Ljbffr
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