Hybrid Senior Data Scientist

Posted 21 hours ago

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About the role

  • High-impact Data Scientist driving complex data projects leveraging AI tools at dLocal, influencing strategic decisions in payments sector.

Responsibilities

  • 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.

Requirements

  • 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.

Benefits

  • 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!

Job title

Senior Data Scientist

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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