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dLocal
dLocal

Senior Data Scientist

Madrid, Spain
Full-Time

TLDR

Act as a strategic partner leveraging AI and MLOps to solve complex problems in anomaly detection, forecasting, and payments routing for dLocal.

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. 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.       Role Mission We are looking for a high-impact Senior Data Scientist with the vision and technical depth to eventually shape our data science standards. You are an elite individual contributor today, but you think like an architect. You don't just solve the problem in front of you; you build the systems, patterns, and documentation that make future problems easier to solve. You will act as a strategic partner to the business, leveraging cutting-edge AI and MLOps to solve complex problems in anomaly detection, forecasting, and payments routing that directly add value for dLocal. What will I be doing?
  • End-to-End System Ownership: You don’t just "hand over" a model. You own the design of the full ML lifecycle—from raw data sources and feature engineering to deployment, roll-out strategies, and monitoring.

  • Operational Excellence: Lead or support root-cause analyses for incidents involving models or data. You use these "failures" as data points to improve our platform’s reliability and observability.

     

  • Peer Leadership & Review: Raise the collective bar by providing constructive feedback on code, design docs, and analytical thinking for your peers. You are a natural mentor who enjoys upskilling others.

     

  • Strategic Roadmapping: Influence the direction of the data science vertical by connecting technical breakthroughs (new models, LLMs, platform features) with high-value business opportunities in anomaly detection, routing, fraud.

  • Automation & Standardization: Actively look for opportunities to turn "one-off" solutions into reusable components, templates, or standards that the entire team can leverage.

  • AI-Accelerated Development: Champion the use of AI-assisted tooling (LLMs, Copilots) to maximize throughput while maintaining high code quality and architecture standards.

    • What skills do I need?

  • Advanced Technical Execution: 6+ years of experience in ML and Statistics. You possess the mathematical depth to modify algorithm implementations and the engineering rigor to deploy them.

  • MLOps & Cloud Proficiency: Solid experience with cloud-based ML (AWS/GCP/Databricks). You understand model registries, CI/CD for ML, and feature pipelines. Proven experience on Databricks is a strong plus.

  • Architectural Intuition: Ability to reason about trade-offs between analytical sophistication, engineering complexity, and operational risk. You know when a simple regression is better than a complex neural network.

  • Strategic Stakeholder Influence: You are an expert storyteller. You can translate technical "deep dives" into clear business value for stakeholders at all levels.

  • Expert Tooling Knowledge: Strong knowledge of ensemble methods, deep learning, and hybrid time-series models. You choose the right tool (Spark, SQL, SageMaker) based on the specific scale and business challenge.

  • Self-Driven Execution: Experience managing complex project roadmaps across a business vertical with sharp attention to detail.

  • Industry Context: Experience in payments or financial systems (Anomaly or Fraud detection) is beneficial.

  • Language: 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:
    - 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.
    - 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!
     
    Flexibility in how you work: We focus on impact and productivity over fixed hours. This means our teams have flexible schedules and, depending on your role and location, you will combine self‑managed focus time with moments of in‑person connection in our collaboration hubs.
     
    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 and Youtube for more about dLocal!

    Benefits

    Flexible Work Hours

    We have flexible schedules and we are driven by performance.

    dLocal Houses

    Want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back!

    dLocal
    dLocal

    dLocal offers a robust payment processing solution designed for global enterprises to navigate cross-border transactions in emerging markets. By facilitating local payments and payouts in 40 countries, we help major brands enhance conversion rates and streamline their payment operations.

    Founded
    Founded 2016
    Employees
    500+ employees
    Industry
    Diversified Financial Services
    Total raised
    $360M raised
    View company profile
    Senior Data Scientist
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