Senior Data Scientist

dLocal; Madrid; A distancia; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A global payment solutions company is seeking a Senior Data Scientist to mine data, build machine learning models, and collaborate with teams on data-driven improvements. The ideal candidate has 5+ years of experience in data science, advanced skills in SQL, Python, and Spark, and is fluent in English. This role offers remote work flexibility and exposure to the fintech industry.

Servicios

Flexible schedules

Premium Coursera subscription

Language classes

Referral bonus program

Social engagement budget

Formación

• 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.
• Experience in payments or other financial systems is a plus.
• Advanced English is a must.

Responsabilidades

• Mine data and extract information in d-local's data environment.
• Build machine learning models and optimization solutions.
• Research, prototype, and test new methodologies for predictive algorithms.
• Communicate results to partners around the world.
• Collaborate with teams to develop data-driven improvements.

Conocimientos

Data Science

Machine Learning

Statistical Analysis

SQL

Python

Spark

A/B Testing

AWS Services

Team Collaboration

Curiosity

Descripción del empleo

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 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 we offer

• Remote work : work from anywhere or one of our offices around the globe
• Flexibility : flexible schedules and performance-driven environment
• Fintech industry : dynamic and evolving environment to boost creativity
• Referral bonus program
• Learning & development : Premium Coursera subscription
• Language classes : free English, Spanish, or Portuguese classes
• Social budget to engage with your team
• dLocal Houses : support for temporary worldwide coworking with your team
• For non-IT roles in Montevideo : 55% monthly attendance to the office may be required

What 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.

Referrals increase your chances of interviewing at dLocal by 2x.

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Job details

• Seniority level : Not Applicable
• Employment type : Full-time
• Job function : Engineering and Information Technology

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