Analista Cientista de Dados, Jr.

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Assist in the extraction, organization, and analysis of data from various sources for studies and fraud prevention solutions.

• Contribute to data preparation and feature engineering for the development of analytical models.

• Engage in the development, training, validation, and enhancement of machine learning models applied to biometrics/liveness, device intelligence, and fraud detection.

• Support the deployment of models for experimentation or production environments, collaborating with the team.

• Work alongside technical teams and partner areas to transform business challenges into practical analyses and solutions.

• Assist in structuring and maintaining data pipelines and routines that support the model lifecycle.

• Identify opportunities for improvement in data, processes, and analytical approaches within the area.

⛳️ Requirements

• Degree in Data Science, Statistics, Computer Science, Engineering, or related fields.

• Proficiency in SQL for data extraction, manipulation, and analysis.

• Knowledge of statistical modeling and machine learning.

• Experience with data preparation, analytical exploration, and feature engineering.

• Interest in participating in the model development lifecycle, from analysis to deployment.

• Strong foundation in data engineering or a desire to develop this skill in the context of pipelines and analytical workflows.

• Curiosity and eagerness to learn in a challenging technical environment.

• Responsibility for deliverables and attention to quality.

• Effective communication skills to share learnings, questions, results, and risks.

• Proactivity in seeking knowledge and suggesting improvements.

• Resilience in handling iterations, testing, and adjusting approaches.

• Professional demeanor and collaboration with the team.

• Knowledge of Airflow is a plus.

• Experience or familiarity with OCI is an advantage.

• Academic or professional experience with fraud, biometrics, liveness, digital identity, or device intelligence is a plus.

• Participation in R&D projects, MVPs, POCs, or applied model initiatives is an advantage.

• Knowledge of the integration between data science and data engineering is a plus.

🏝️ Benefits

• Remote work opportunities.

• Inclusive environment and a culture that prioritizes people.

• Balance between career and personal commitments and interests.

• Focus on well-being.

• Incredible experiences and career development.

• Recognized as a Great Place To Work™ in 24 countries.

• International certification as a Top Employer.