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Data Analysis
Data Science Specialist
@EBANX
[Hiring] Data Science Specialist @EBANX
Mar 19, 2025 - EBANX is hiring a remote Data Science Specialist. đź’¸ Salary: unspecified. đź“ŤLocation: Latin America (LATAM), Brazil.
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Role Description
As a Data Science Specialist focused on Time Series Forecasting, your mission will be to design, implement, and optimize predictive models to forecast key performance indicators (KPIs) for a payment processing company. You will leverage advanced machine learning techniques and statistical modeling to anticipate trends, detect anomalies, and enhance decision-making processes across the organization.
- Developing, deploying, and maintaining robust time series forecasting models to predict business-critical KPIs such as transaction volumes, fraud detection rates, and revenue trends;
- Designing and optimizing data pipelines to ensure efficient model training and inference in production;
- Implementing scalable forecasting solutions that integrate seamlessly with business intelligence tools and real-time monitoring systems;
- Applying state-of-the-art techniques, including deep learning for time series (LSTMs, Transformers), probabilistic forecasting, and ensemble methods;
- Collaborating closely with business stakeholders, data engineers, and software developers to ensure that forecasting insights translate into actionable business strategies;
- Ensuring models remain accurate and relevant through continuous monitoring, retraining, and validation;
- Conducting research and experimentation to improve forecasting accuracy, reduce prediction uncertainty, and incorporate external influencing factors;
- Automating reporting and alerting mechanisms for forecast deviations and anomaly detection;
- Mentoring team members and promoting best practices in time series modeling, statistical analysis, and machine learning.
Qualifications
- Strong experience in time series forecasting, predictive analytics, and statistical modeling;
- Proficiency in Python and its ecosystem for data science (Pandas, NumPy, SciPy, Statsmodels, Scikit-learn);
- Solid understanding of classical forecasting techniques (ARIMA, SARIMA, Prophet, Exponential Smoothing) and modern machine learning methods;
- Experience with cloud platforms (AWS or GCP) for model training and deployment;
- Familiarity with big data processing frameworks (EMR and PySpark);
- Strong analytical and problem-solving skills with an ability to translate business challenges into data-driven solutions;
- Understanding of the payments industry, including transaction patterns, fraud detection, and compliance requirements.
Requirements
- Previous experience in a fintech or financial services environment;
- Experience with anomaly detection techniques for financial transactions;
- Familiarity with Explainable AI (XAI) techniques to interpret model predictions;
- Experience with streaming platforms (Kafka, Kinesis);
Benefits
- Spanish, English, and Portuguese classes;
- Meal Allowance;
- Transportation voucher (if needed);
- WAVES - Program of goals and results (variable compensation);
- EBANX Play - Wellness (Gympass, e-Sports, SESC);
- EBANX Education: financial support for undergraduate, graduate, and MBA programs so you can develop important skills for your career;
- EBANX Skills: budget for workshops and courses;
- EBANX Flexible: Birthday Day Off;
- Semi-flexible hours (8 hours a day - Monday to Friday);
- 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;
- Blue Club: Exclusive discount for ebankers in bakeries, restaurants, courses, electronics stores, and more!
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| đź“Ť | Be aware of the location restriction for this remote position: Latin America (LATAM), Brazil |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
Back to Remote jobs >
Data Analysis
Data Analysis
|
Salary
đź’¸
unspecified
|
Remote
Location
Latin America (LATAM), Brazil
|
|
Job Type
full-time
|
Posted
Mar 19, 2025
|
️
| đź“Ť | Be aware of the location restriction for this remote position: Latin America (LATAM), Brazil |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
