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 projectsProfound 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 environmentsExperience leading remote data science or analytics teams in the pastExcellent written and verbal communication, especially in translating complex technical findings to non-technical stakeholdersEnjoy writing documentation (e.g., for models, data sources, and experimental results) and understand why it's valuableA self-starter - You can identify business opportunities, formulate a data-driven approach, and implement it yourselfDesign and implementation of the overall architecture of your team’s data products and modeling pipelinesEnsuring the entire analytics stack is designed and built for speed, scalability, and reproducibilityStrong 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 DatabasesExperience with model validation, data quality assurance, and MLOps principlesProficient understanding of code versioning tools, such as GitWritten and spoken EnglishBe a team playerAWS knowledge is a strong plusWhat 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 performanceFintech industry : work in a dynamic and ever-evolving environment, with plenty to build and boost your creativityReferral bonus program : our internal talents are the best recruiters - refer someone ideal for a role and get rewardedLearning & development : get access to a Premium Coursera subscriptionLanguage classes : we provide free English, Spanish, or Portuguese classesSocial 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 requiredWhat 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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