EBANX is a global fintech founded in 2012 with a mission to be the leading payments partner in rising markets. With its own technology and infrastructure, combined with in-depth knowledge of the Latin American market, EBANX allows these companies to connect to hundreds of payment methods in different countries in the region. And it goes further, creating results for businesses and simple shopping experiences for consumers.

From the beginning of our journey, we have an important mission: to give access. And this is not just about our products and services, but it goes through everything we are and do. We believe that it is only possible to innovate with diversity, so we cherish differences in gender, race, nationality, disability, sexual orientation, religion and age. Plurality is what makes our Big Dream possible.

We are called ebankers and we are changing the way people buy, connect, and live globally. Let's make history together?

We are seeking a talented Senior Data Scientist to join our team of excellence in Machine Learning solutions. The ideal candidate will be responsible for driving complex and impactful projects within the company, providing insights, and leading strategic Data Science initiatives for the creation, maintenance, and continuous improvement of our products. As a Senior Data Scientist, you will play a crucial role in discovering business opportunities, developing advanced predictive models, and implementing innovative solutions that ensure our superiority in the payments market. Initially, the candidate will work on solutions such as fraud prevention platforms, intelligent payment flow routers, anomaly detectors, among others.

Responsibilities:

• Design, build, and maintain scalable machine learning infrastructure, including data pipelines, model deployment, and monitoring systems.
• Collaborate with data scientists and ML engineers to understand their needs and implement best practices for machine learning workflows and lifecycle management.
• Establish and enforce MLOps standards, guidelines, and methodologies across the organization.
• Evaluate and select appropriate tools and technologies to support end-to-end ML development and deployment processes.
• Troubleshoot and resolve production issues related to machine learning models and infrastructure.
• Optimize ML infrastructure for performance, scalability, and cost-efficiency.
• Monitor ML model performance and proactively identify potential issues or areas for improvement.
• Continuously research and stay current with the latest trends and best practices in MLOps, sharing knowledge with the team.
• Facilitate cross-functional communication and collaboration to ensure smooth integration of ML solutions with existing systems.
• Mentor junior team members, providing guidance and support for their professional growth in MLOps.
  
  

Main requirements for this position:

• Proficiency in writing complex code using languages such as Python, Pyspark, and SQL.
• Relevant work experience with core compute and storage cloud services, preferably AWS.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficiency in building and maintaining data pipelines and ETL processes, preferably using tools like Apache Airflow, Step Functions and so on.
• Strong understanding of software engineering best practices, including version control, code reviews, and CI/CD.
• Hands-on experience with cloud platforms (preferably AWS) and containerization technologies (e.g., Docker, Kubernetes).
• At least two and a half years of working experience with ML model deployment strategies, monitoring, and lifecycle management.
• At least two and a half years of experience as a data scientist in the financial sector (banks, payment companies) or e-commerce. Internship phase should not be included in this reference period.
• Degree in Computer Science, Engineering, Statistics, Mathematics, or related fields.
• Diploma or certificate demonstrating theoretical coursework in data science, either through reputable online platforms like Coursera and DataCamp or through formal education.
• Advanced level of English is necessary to enable conversations with vendors, clients, and foreign colleagues. Reading and writing documentation in English will be required frequently.

EBANX offers:

• A challenging environment, with opportunities to grow;
• Casual office and flexible dress code;
• Spanish, English and Portuguese classes;
• WAVES - Program of goals and results (variable compensation);
• EBANX Play - Wellness (Gympass, e-Sports, SESC );
• Semi flexible hours (8 hours a day - Monday to Friday);
• Meal Allowance;
• Transportation voucher (if needed);
• EBANX Education: scholarship;
• EBANX Skills: budget for workshops and courses;
• EBANX Flexible: monthly Day Off from February to November, birthday Day Off and Rest up Month - one month of paid leave every three years of work anniversary.
• EBANX Family: Daycare assistance, extended leave for caregivers and support program for children and pregnant women;
• EBANX Health: Health and Dental Insurance, with subsidy for dependents, and medicine subsidy for ebankers;
• Life Insurance: Life Insurance 100% paid by EBANX
• Hello ebanker: psychology, finance and legal orientation.
• Blue Club: Exclusive discount for ebankers in bakeries, restaurants, courses, electronics store and more!

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