Senior Data Scientist - Modeler

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:

• Lead projects involving analysis of structured and unstructured data, from identifying requirements to final delivery, ensuring quality and accuracy of results.
• Collect, clean, and transform large volumes of data into suitable formats for analysis.
• Build and maintain machine learning models relevant to the payments industry, such as real-time transactional models, anomaly detection, routing optimization, and churn prediction.
• Collaborate closely with developers and core business areas (fraud prevention, finance, commercial, products, and marketing) to define business problems and develop data-driven solutions.
• Propose new projects, calculate their business value, and collaborate as a cooperative team player, establishing strong relationships with colleagues.
• Document all developed code thoroughly.
• Work on the operation and maintenance of our finished products and those in the value-generation phase, acting as an interface between our products and internal clients, welcoming their demands with a positive attitude and respect.
• Train new members and career-transitioning collaborators.
  

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.
• Previous experience in designing and building supervised machine learning models using Random Forests, Boosting, XGBoost, SVM, or Deep Learning. Some experience with at least one of the main libraries/frameworks like Sklearn, PyTorch, and TensorFlow.
• Understanding of the trade-offs and implementation differences between batch and streaming processing.
• Relevant work experience with AWS tools such as EMR, SageMaker, Lambda Function, Athena, DynamoDB, Sagemaker Feature Store, ElastiCache, and S3.
• 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!

Follow us on LinkedIn and check out our Instagram to learn more about the #ebanxlife.