Cientista de Dados Sênior Mlops (Bilingue - Espanhol)

Jobgether; Brasil; Remote; BRL 180.000 - 320.000; Vollzeit

Benefits dieser Stelle

Fully remote from Brazil

International collaboration

Zusammenfassung

Jobgether is seeking a Senior Data Scientist - MLOps (Bilingual Spanish) based in Brazil. The role focuses on developing and managing credit risk models for an international financial services operation, with end-to-end modeling lifecycle and production monitoring.

The ideal candidate brings 5+ years in data science, strong SQL/Python skills, and proficiency in Spanish. Remote work from Brazil is supported, with collaboration across Argentina and other regions.

Qualifikationen

• Bachelor's degree in Statistics or related quantitative field.
• 5+ years of professional experience in data science, statistical modeling, or related discipline.
• Proven experience in credit risk modeling with application & behavioral scoring.
• Advanced SQL and Python for data manipulation and modeling.
• Experience with ML models: classification, regression, clustering.

Aufgaben

• Lead credit risk modeling workstream for the Argentinean operation.
• Develop application and behavioral score models through full lifecycle.
• Extract, transform, and analyze datasets using SQL and Python.
• Apply statistical methods and machine learning to build and validate models.
• Monitor deployed models and recalibrate as needed.
• Document methodologies, validation results, and recommendations.
• Present findings to stakeholders in Portuguese and Spanish.
• Collaborate with business, risk, and tech teams.

Kenntnisse

SQL

Python

Statistics

Machine Learning

Pandas

Scikit-learn

Statsmodels

Spanish

Communication

Ausbildung

Bachelor's degree in Statistics

Master's degree in Statistics

Tools

Git

Jupyter

Jobbeschreibung

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cientista de Dados Sênior MLOps (Bilingual - Spanish) based in Brazil.

As a Senior Data Scientist, you will lead the development and lifecycle management of credit risk models for a financial services operation in Argentina. You will play a key role in building reliable, data-driven solutions that support credit decisions and strengthen risk assessment strategies. Working across the entire modeling lifecycle, you will transform raw data into actionable insights using advanced statistical techniques, machine learning, SQL, and Python. You will collaborate closely with credit, risk, and technology teams to develop, validate, and monitor application score and behavioral score models. Your work will help ensure model accuracy, stability, and long-term performance in a dynamic financial environment. This fully remote opportunity is ideal for an experienced data science professional who combines technical expertise, analytical rigor, and strong Spanish communication skills to drive meaningful business outcomes.

Accountabilities

• Lead the credit risk modeling workstream for the Argentinean operation, defining technical approaches and recommending appropriate modeling strategies.
• Develop application score and behavioral score models throughout the entire lifecycle, from data preparation and exploratory analysis to model development, validation, and final implementation.
• Extract, transform, and analyze datasets using SQL and Python to identify relevant patterns, assess data quality, and prepare modeling features.
• Apply statistical methods and machine learning techniques to build, compare, and optimize predictive models, including classification, regression, and clustering approaches where appropriate.
• Perform feature selection, evaluate model assumptions, and identify the variables that contribute most effectively to credit risk prediction.
• Validate model performance and stability before deployment, ensuring that the selected approaches meet business requirements and relevant risk assessment standards.
• Monitor deployed models over time, tracking performance, stability, and alignment with expected outcomes.
• Identify performance degradation and recommend model recalibration, redevelopment, or other corrective actions when necessary.
• Document modeling methodologies, assumptions, validation results, limitations, and recommendations in a clear and structured manner.
• Present analytical findings, model performance assessments, and strategic recommendations to credit and risk stakeholders in both Portuguese and Spanish.
• Collaborate with business, risk, and technology teams to align modeling initiatives with operational needs and credit decision-making objectives.
• Manage the modeling workstream autonomously, prioritizing activities and maintaining high standards of technical quality and delivery.

Requirements

• Bachelor's degree in Statistics or a related quantitative field.
• At least five years of professional experience in data science, statistical modeling, or a closely related discipline.
• Proven experience in credit risk modeling, with hands-on expertise in both application scoring and behavioral scoring.
• Advanced proficiency in SQL and Python for data manipulation, exploratory analysis, feature engineering, and statistical modeling.
• Practical experience developing, evaluating, and validating machine learning models, including classification, regression, clustering, and other relevant predictive techniques.
• Familiarity with data science and statistical libraries such as pandas, scikit-learn, statsmodels, or equivalent tools.
• Advanced Spanish proficiency, including the ability to communicate technical findings, explain model results, and collaborate effectively with Spanish-speaking stakeholders.
• Strong analytical thinking and critical reasoning skills, with the ability to challenge assumptions, interpret results, and identify potential limitations in modeling approaches.
• Excellent communication skills and the ability to translate complex technical concepts into clear, actionable recommendations for technical and business audiences.
• Proven ability to lead a workstream independently, establish priorities, and manage deliverables effectively.
• Strong attention to detail, with a commitment to data quality, model documentation, and rigorous validation practices.
• Comfort working with international teams and collaborating with stakeholders across different countries and business contexts.

Nice-to-have qualifications

• Master's degree in Statistics or a related quantitative discipline.
• Previous experience in banking, credit bureaus, financial institutions, or consulting environments.
• Experience monitoring machine learning or statistical models in production, including performance tracking, stability analysis, and model recalibration.
• Familiarity with model lifecycle management and MLOps practices for maintaining reliable analytical solutions in production environments.

Benefits

• Fully remote working arrangement, allowing you to work from Brazil.
• Full-time professional engagement under a legal entity (PJ) contract.
• Opportunity to lead credit risk modeling initiatives for a financial services operation in an international market.
• Exposure to end-to-end model development, validation, and monitoring within a business-critical financial domain.
• Collaboration with multidisciplinary teams across data science, credit, risk, and technology.
• Opportunities to apply advanced statistical methods and machine learning techniques to real-world business challenges.
• A collaborative environment focused on technical excellence, continuous learning, innovation, and professional development.

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.