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Data Science Specialist

EBANX

Responsibilities

  • to own the design and deployment of scalable AI systems in production.
  • Own the end-to-end design, development, evaluation, and deployment of Machine Learning and AI solutions, ensuring scalability, reliability, and performance;
  • Develop and optimize Machine Learning models, with a strong focus on classical Machine Learning techniques such as XGBoost, Random Forest, and Decision Trees, ensuring robustness, explainability, and efficiency;
  • Build models and strategies focused on fraud prevention, chargeback risk, and risk prevention in credit card payments;
  • Translate business and payment-related challenges into effective Machine Learning solutions, considering both technical performance and business impact;
  • Build and maintain production-grade solutions for AI applications, including APIs, data pipelines, and services, in collaboration with AI Engineering and MLOps specialists;
  • Implement and oversee continuous integration and continuous delivery (CI/CD) pipelines for AI model deployment and updates;
  • Collaborate closely with data scientists, AI engineers, MLOps specialists, software engineers, and stakeholders across teams to translate business requirements into actionable AI solutions;
  • Troubleshoot production issues related to AI and Machine Learning systems, performing rigorous testing, validation, and continuous improvement;
  • Contribute to the evolution of AI-powered solutions and explore new ways of applying AI to improve development efficiency and business outcomes;
  • Mentor team members on best practices in Machine Learning modeling, AI engineering, model deployment, and system integration.

Requirements

  • Hands-on experience in Data Science and Machine Learning modeling;
  • Proven expertise in developing and evaluating Machine Learning models, especially using XGBoost, Random Forest, and Decision Trees;
  • Strong programming skills in Python, with demonstrated experience in developing high-quality, maintainable code;
  • Experience working with Machine Learning models in real-world or production environments;
  • Strong analytical and problem-solving skills, with the ability to translate business challenges into Machine Learning solutions;
  • Proficiency with cloud platforms (AWS, GCP or Azure), including deploying AI services and managing cloud resources;
  • Strong knowledge of CI/CD tools and processes (GitHub Actions);
  • Solid understanding of data engineering concepts, ETL processes, and data pipeline architectures;
  • Awareness of security standards and compliance requirements relevant to AI and data-driven systems;
  • Conversational English proficiency, with the ability to communicate effectively with international stakeholders.

Preferred

  • Prior experience in fraud prevention, fraud detection, chargeback, payment risk, financial services, fintech, or related industries;
  • Experience developing or working with neural networks and other Machine Learning techniques;
  • Experience with containerization tools (Docker);
  • Experience collaborating closely with MLOps and AI Engineering teams;
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field;

Must-haves to shine in this role

Experience with monitoring and logging solutions for ML systems (e.g., CloudWatch or DataDog);

Performance Bonus

Annual bonus program based on company results.

Meal Allowance

Monthly allowance to support your meals.

EBANX Education

Financial assistance for undergraduate, graduate, and MBA programs to support your professional growth.

EBANX Skills

Dedicated budget for courses, certifications, and workshops to encourage continuous learning.

Language Classes

Language classes to support your personal and professional development.

Health & Well-being

Medical and dental plans with extensive coverage, including support for dependents and wellness programs.

Flexible Work Culture

Semi-flexible hours, additional day off on your birthday, and year-end break to support work-life balance.

Well-being Program

Access to activities and resources that promote physical and mental health.

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