Data Scientist (Risk)

About The Job

As a Data Scientist on our Risk Team, your role is crucial in developing and optimizing machine learning models to detect and prevent fraud. You will be a key player in analyzing data, building predictive models, and implementing robust data-driven strategies to enhance our risk management processes.

You will bridge the gap between theoretical data science and practical, scalable solutions in the fintech sector, with a specific focus on risk assessment and mitigation. Your work will involve handling large-scale datasets, extracting meaningful insights, and developing sophisticated algorithms to protect our ecosystem.

What You'll Need to Succeed

• Fluency in Python and SQL.
• Proficient in ML libraries like Scikit, PyTorch , TensorFlow, etc.
• Experience with cloud-based services like the Google Cloud platform.
• Solid Data Visualization skills to create charts and dashboards.
• Strong analytical skills, ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Detail-oriented with a strong research mindset.
• As a member of a fully remote and distributed team, you are expected to complete tasks autonomously, being highly collaborative and self-driven. We expect you to have the curiosity of a child with the responsibility of a grown-up.
• Communication skills. You should be able to communicate effectively with multiple teams.
• Ability to communicate and debate in English and Portuguese.

Nice-to-have skills

• Experience with financial or payment industry
• Knowledge of distributed systems and parallel computing
• DevOps practices: Understanding DevOps practices, including continuous integration, continuous deployment, and containerization.

Recruiting Process Outline

• Online technical assessment
• Technical interview
• Cultural interview.

If you are not willing to do an online-quiz, please do not apply.