Mid Data Scientist Analyst

At EBANX, you’ll help expand access to payments and technology in some of the world’s most dynamic markets. We’re a unicorn-status fintech , AI-powered , and scaling fast across 29 countries and counting . Our platform connects leading global companies to more than 1 billion consumers , enabling seamless cross-border payments where it matters most. We build with purpose, move with speed, and create solutions that are both innovative and inclusive. If you’re looking to be part of a company that’s transforming the future of payments with clarity , ambition , and real-world impact — we’d love to meet you. In the Data team, we turn information into intelligence. We model, organize, and analyze data to generate strategic insights that drive decision‑making across EBANX. We're naturally curious and guided by evidence. As a Mid Data Scientist Analyst your mission will be to build and deploy machine learning models to serve multiple business units of the company. Build and maintain machine learning models that are relevant to the payments industry (e.g. real‑time transactional model, anomaly detection, routing optimization and churn prediction); Work closely with devs and core business areas (fraud prevention, finance, commercial, products and marketing) to define business problems and create solutions leveraging our data; Be able to propose new projects, gain stakeholder buy‑in, calculate business value, be a cooperative team player and develop strong relationships with colleagues; Explain and solve complex problems in straightforward terms; Work directly with the data engineering team to create data pipelines and transformations necessary to be consumed by models; Ad‑hoc exploratory analysis and experiments; Promote the use of data as the main driver for decision making; Must‑haves to shine in this role: Should be proficient with languages like: Python, Pyspark and SQL; Experience working with core compute and storage cloud services (preferably AWS); Experience designing ML models using Random Forests, Boosting, SVM or deep learning (some experience with at least one of the main libraries/frameworks like XGBoost, Scikit‑learn and TensorFlow); Understand the trade‑off and implementation differences between batch vs streaming; Work with transactional DBs and analytical tools like Redshift, BigQuery and Athena; Good knowledge of development tools like git, bash and containers; Bonus points if you have: Experience in design solutions based on AWS services and tools (Lambda, Kinesis Data Stream, Kinesis Data Firehose, S3, Dynamo, OpenSearch, EMR, SageMaker, ElastiCache), carefully read the docs, implement the entire architecture you designed with the support of your peers, and document it; Some experience with visualization tools (e.g. Tableau, Qlik or Looker); Previous experience working in a startup environment; EBANX offers: WAVES Program: Annual bonuses based on the company’s performance. Meal/Food Allowance: Credit provided on a flexible benefits card. EBANX Education: Financial support for undergraduate, graduate, and MBA programs to support your professional growth. EBANX Skills: Budget dedicated to workshops, courses, and certifications to encourage your continuous development. Language Classes: Spanish, English, and Portuguese lessons for your personal and professional development. EBANX Health: Comprehensive medical and dental plans fully covered for the employee, plus subsidies for dependents to take care of you and your family’s well‑being. EBANX Family: Childcare assistance, extended parental leave for caregivers, and support programs for pregnant employees and children. Life Insurance: Fully paid by EBANX. Transportation: Parking assistance or transportation vouchers, depending on your needs. EBANX Flexible: A special day off on your birthday, semi‑flexible working hours (8 hours/day, Monday to Friday), and year‑end recess between Christmas and New Year’s without affecting your vacation days. EBANX Play: Well‑being program including access to Wellhub, e‑Sports, and partnerships with SESC. Blue Club: Exclusive discounts at bakeries, restaurants, stores, courses, and more. #J-18808-Ljbffr