Data Science Team Leader

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, in a flexible, remote-first dynamic culture with travel, health and learning benefits, among others.
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.
What's the opportunity?
As our Data Science Team Leader, you'll be in charge of leading a data science team and the models, analyses, and data products that team owns.
Your team will build high-impact, scalable, production-grade machine learning models and data solutions.
You will be leading a talented data science team that works on mission-critical business problems with big customers like Netflix, Amazon, Nike, Facebook & more
The different members of the team will report directly to you, and you will be involved in helping develop their careers within the company.
What will I be doing?
You'll be responsible for the week-to-week project planning of your team and keeping each member accountable for their deliverables.
As a technical lead, a key part of your role is to be a people manager.
It's vital you dedicate time to mentoring and managing your team members.
You'll be expected to drive the analytical and modeling direction in projects and ensure they meet accuracy, scalability, and business impact requirements.
You'll be hands-on with projects, getting deep into data analysis, modeling, and code, and be looked upon as the senior authority in data science methodologies, statistical analysis, and machine learning implementation.
You'll be responsible for hiring for your team.
You'll be responsible for communicating insights, project status, and planning between other teams and business stakeholders.
What skills do I need?
Proven hands-on experience as a Data Scientist, with a track record of delivering impactful projects.
Profound insight into Python for data analysis and machine learning, and familiarity with core libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch, PySpark, etc.).
Wide experience building and deploying scalable machine learning models into production environments.
Experience leading remote data science or analytics teams in the past
Excellent written and verbal communication, especially in translating complex technical findings to non-technical stakeholders.
Enjoy writing documentation (e.g., for models, data sources, and experimental results) and understand why it's valuable.
A self-starter - You can identify business opportunities, formulate a data-driven approach, and implement it yourself.
Design and implementation of the overall architecture of your team's data products and modeling pipelines.
Ensuring the entire analytics stack is designed and built for speed, scalability, and reproducibility.
Strong understanding of statistical analysis, machine learning algorithms, and experimental design (e.g., A/B testing).
Experience with deploying models as services (e.g., using APIs, containers like Docker).
Expert knowledge of SQL and Relational Databases.
Experience with model validation, data quality assurance, and MLOps principles.
Proficient understanding of code versioning tools, such as Git.
Written and spoken English.
Be a team player.
AWS knowledge is a strong plus.
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:
Remote work: work from anywhere or one of our offices around the globe
*
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
*For people based in Montevideo (Uruguay) applying to non-IT roles, 55% monthly attendance to the office is required
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, Instagram, and YouTube for more about dLocal
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