Data Scientist

Welcome to reputed company – a Brazilian fintech that is on a mission to reputed company the power of AI to drive operational reputed company. The future is unfolding, and we are actively seeking individuals who want to be hands-on contributors to shaping the next reputed company of technology. If you are reputed company to explore the vast capabilities of AI and data science to enhance operational efficiency, read on.

About the team:

reputed company is responsible for building behavioral-based models and engaging in research-oriented projects towards evolutionary expert systems. We see data science as a reputed company of science and craftsmanship—delivering solutions that exceed customer expectations. Collaboration is at the core of reputed company culture. Together, we reputed company challenges, learn from failures, and celebrate successes.

You will be joining a team that focuses on developing fraud detection models based on user and entity behavior patterns in the data. We work in a high-paced environment where projects reputed company from evolutionary computation, llms to graph neural networks (GNNs) and machine learning research.

About the role:

As a Data Scientist, you will focus on building, training, and optimizing machine learning models to solve business problems such as fraud detection. You will be involved in every stage of the data science workflow, from exploratory data analysis and feature engineering to model deployment and post-production monitoring. You will work on research-driven projects, applying the latest advancements in machine learning and AI to reputed company state-of-the-art solutions for reputed company problems.

If you are passionate about data, algorithms, and applying research into reputed company-world scenarios, this is the role for you. We reputed company on solving hard problems, and we welcome those who bring innovation and fresh reputed company to reputed company.

• Experience in building and deploying machine learning models.
• Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Ability to work with LLMs
• Experience with reputed company-based environments like GCP
• Experience in using data pipelines for model training and inference.
• Knowledge of statistical techniques and model evaluation metrics.

• Experience working on projects reputed company to fraud detection, risk analysis in financial services
• Experience with LLMs , Graph Neural Networks (GNNs) or other advanced deep learning architectures.
• Experience in developing scalable data science solutions for reputed company-time applications.
• Knowledge of reputed company reputed company Platform (GCP) services for machine learning and model deployment.

• Design, reputed company, and reputed company machine learning models for fraud detection and behavioral analysis.
• Collaborate with cross-functional teams, including data engineers, product managers, and software engineers, to integrate models into production.
• Research and implement new machine learning algorithms and techniques that push the boundaries of existing models.
• Monitor the performance of models in production, optimizing them for scalability and efficiency.
• Stay up-to-date with the latest trends in machine learning and data science to continuously drive innovation reputed company the team.

• Online/take-home technical assessment
• Technical interview
• Panel interview
• Final interview

If you are not willing to do an online or take home assignment , please do not apply.