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Data Science Specialist
Отличная позиция в компании-единороге с сильной инженерной культурой и расширенным социальным пакетом. Работа с современным стеком технологий (AWS, PySpark) и реальное влияние на бизнес-показатели делают эту вакансию крайне привлекательной.
Сложность вакансии
Роль требует глубоких знаний в области машинного обучения и инженерии данных, включая работу с Big Data (PySpark) и облачной инфраструктурой AWS. Высокий уровень ответственности обусловлен работой в финтех-секторе с транзакционными данными в реальном времени.
Анализ зарплаты
Предлагаемая роль специалиста в финтех-секторе Бразилии обычно оплачивается выше среднего по рынку из-за сложности задач и статуса компании. Указанный диапазон соответствует уровню Senior/Specialist в крупных технологических хабах, таких как Сан-Паулу.
Сопроводительное письмо
I am writing to express my strong interest in the Data Science Specialist position at EBANX. With a solid background in building and deploying machine learning models, particularly in the fintech sector, I am excited about the opportunity to contribute to a company that is transforming the future of payments across 29 countries. My experience with Python, PySpark, and SQL, combined with a deep understanding of supervised ML models like XGBoost and Random Forests, aligns perfectly with the technical requirements of your Data team.
In my previous roles, I have successfully developed real-time transactional models and anomaly detection systems, working closely with cross-functional teams to translate complex data into strategic business value. I am particularly impressed by EBANX's commitment to innovation and its AI-powered approach to scaling. I am confident that my skills in designing data pipelines and my proficiency with AWS services like SageMaker and Redshift will allow me to make an immediate impact on your data-driven decision-making processes.
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Откликнитесь в ebanx уже сейчас
Присоединяйтесь к команде финтех-единорога и создавайте ML-решения, которые меняют мир платежей!
Описание вакансии
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 Data Scientist Specialist your mission will be to build and deploy machine learning models to serve multiple business units of the company.
Your day-to-day impact:
- 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 at writing complex codes with languages like: Python, Pyspark and SQL;
- Relevant work experience working with core compute and storage cloud services (preferably AWS);
- Previous experience designing and building supervised ML models using Random Forests, Boosting, SVM or deep learning (some experience with at least one of the main libraries/frameworks like XGBoost, Sklearn 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 your 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.
#LI-TC1
Follow us on LinkedIn and check out our Instagram to learn more about the #ebanxlife.
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Навыки
- Tableau
- Git
- AWS
- Python
- SQL
- Looker
- Scikit-learn
- Docker
- BigQuery
- PySpark
- TensorFlow
- Amazon EMR
- XGBoost
- Amazon S3
- Qlik
- Redshift
- Amazon SageMaker
- Amazon Athena
Возможные вопросы на собеседовании
Проверка опыта работы с высоконагруженными системами и понимания задержек при обработке транзакций.
Как бы вы спроектировали архитектуру для модели оценки рисков в реальном времени, учитывая ограничения по времени отклика?
Оценка навыков работы с большими данными и оптимизации распределенных вычислений.
Опишите ваш опыт оптимизации PySpark джобов при работе с терабайтными объемами данных. Как вы боретесь с проблемой 'data skew'?
Проверка понимания специфики финтеха и борьбы с мошенничеством.
Какие признаки (feature engineering) вы бы создали для модели обнаружения аномалий в трансграничных платежах?
Оценка умения доводить модели до продакшена и понимания жизненного цикла ML.
Расскажите о вашем опыте деплоя моделей в AWS. Какие инструменты мониторинга производительности модели вы использовали после запуска?
Проверка навыков коммуникации и обоснования бизнес-ценности.
Как вы объясните нетехническому стейкхолдеру разницу между точностью (accuracy) и полнотой (recall) в контексте модели оттока клиентов?
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