Description:

In this job, you will join our efforts in the application of Network Science to our business.
You will use your programming skills to build and maintain pipelines that transform vanilla tabular data into informative graphs.
You will also use your analytical skills to come up with useful graph architectures, interpret graphs, visualize graphs, and experiment with different techniques to find interesting patterns hiding in graph data.
You will exercise your curiosity and creativity to propose solutions to problems, utilizing a plethora of tools, libraries, and algorithms to extract information from networks.
You will be part of a team of highly competent Data Analysts and Data Scientists, where collaboration and open discussions are essential.
You will be part of an exploration team inside the AI department, pursuing ambitious projects with high impact potential.
As a member of a fully remote and distributed team, you are expected to complete tasks autonomously while being highly collaborative and self-driven.

Requirements:

Fluency in Python and SQL is required for this position.
You are not expected to have dense previous knowledge about graphs or network science; if you're smart, we can teach you.
You must have the initiative to learn, investigate, and experiment.
Strong communication skills are necessary to effectively communicate with multiple teams.
You should be able to communicate and debate in both English and Portuguese.
Solid Data Visualization skills are required to create charts and dashboards.
You must possess strong analytical skills, with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
You should be adept at queries, report writing, and presenting findings.

You will be part of an AI-first fintech that is building its own technology to improve the payment system in Brazil.
The company is recognized as a unicorn, indicating a valuation of over 1 billion dollars.
You will work in a team that values data and has access to an immense corpus of shared knowledge and incredible statistical and computational tools.
The work environment promotes social inclusion, respect, and appreciation of all individuals, allowing each employee to be authentic.
The recruiting process includes a structured outline to ensure a fair assessment of candidates.