Data Science Team Leader

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? 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!

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