Senior Data Scientist

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 Data Scientist who thrives on autonomy. In this role, you won’t just execute tasks—you will own the "Why," the "How," and the "So What" of your projects. You will act as a strategic data partner to the business, leveraging cutting-edge AI tooling to move fast and solving complex problems that directly move the needle for d-local.

What type of projects will you work on? We are working on solutions for anomaly detection, forecasting and payments routing. All these require knowledge on unsupervised learning, hybrid time series models, clustering, reinforcement learning, all with a focus on explainability.

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What will I be doing?

• End-to-End Project Ownership: Drive the execution of complex, high-impact data projects from ideation to production. You are responsible for ensuring every solution delivers measurable improvements to business performance or customer experience.
• The "Better Version" Mindset: Act as a strategic technical consultant. You don’t just follow a brief; you proactively identify business opportunities and challenge stakeholder proposals when a more efficient or impactful data-driven alternative exists.
• Impact Quantification: Before writing code, you identify the core components of a request based on expected outcomes. You use rigorous frameworks to predict experiment results and quantify the business value of your proposed solutions.
• Technical Deep-Dives: Perform root-cause analysis on a wide range of analytical problems and contribute to incident management. You have the "jump-in" ability to unblock ongoing projects and identify potential development issues before they scale.
• Continuous Technical Evolution: Champion best practices and drive internal initiatives for process improvement. You will contribute to the evolution of our technical knowledge base and raise the collective bar.
• AI-Accelerated Development: Integrate and champion the use of AI-assisted tooling (LLMs, Copilots, and automated workflows) to boost your development throughput, optimize code quality, and shorten the path from prototype to production.

What skills do I need?

• Technical Mastery & Versatility: 5+ years of hands-on experience in applied ML and Statistics. Beyond Python mastery, you can modify algorithm implementations to adapt to specific needs and develop comfortably across diverse environments.
• AI Tooling & Productivity: Proficiency in using AI-driven development tools to enhance coding performance, automate repetitive tasks, and accelerate data exploration.
• Advanced Analytics & Data Strategy: Strong knowledge of ensemble methods, deep learning. You understand the trade-offs between technologies (Spark, SQL, AWS SageMaker) and choose the right tool for the specific business challenge.
• Strategic Stakeholder Influence: Highly effective at engaging with stakeholders at all levels. You influence decision-making through advanced data storytelling and a deep understanding of business objectives.
• Self-Driven Execution: Ability to self-manage and prioritize complex project roadmaps across a business vertical, maintaining sharp attention to detail while handling multiple high-priority streams.
• Technical proficiency: An experienced team player who possesses a curious, positive attitude toward solving highly ambiguous problems.
• Industry Context: Experience in payments or financial systems (specifically Anomaly or Fraud detection) is a major plus.
• Language: Advanced English is a must.

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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.

- 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!

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!