Cientista de Dados Sênior
New
J
JobgetherFintech
BrazilContractSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLData AnalysisMachine LearningMLOps
Requirements
- Previous professional experience in Data Science, Machine Learning, Analytics, or a closely related field.
- Strong foundations in statistics, predictive modeling, and data analysis.
- Solid Python development experience and familiarity with relevant machine learning libraries.
- Experience with supervised learning, feature engineering, model evaluation, and analytical experimentation.
- Strong SQL skills and experience working with large-scale datasets.
- Analytical, pragmatic, and hands-on mindset, with the ability to navigate rapidly changing priorities and contexts.
- Strong curiosity and willingness to continuously learn, experiment, and explore new technologies and methodologies.
- Excellent communication skills and the ability to collaborate effectively with technical and business stakeholders.
Responsibilities
- Develop, test, and continuously improve machine learning models for credit, fraud, risk, and user behavior applications.
- Explore new techniques, features, analytical approaches, and modeling strategies with a strong focus on measurable business impact.
- Own and contribute to the end-to-end machine learning lifecycle, including model design, implementation, deployment, and ongoing maintenance.
- Develop and maintain reliable data and ML pipelines supporting models in production, ensuring stability, scalability, and performance.
- Partner closely with Engineering, Product, Risk, and Operations teams to translate business challenges into effective analytical solutions.
- Conduct exploratory data analysis, experiments, model testing, validation, and performance assessments.
- Monitor business and model performance metrics to identify risks, opportunities, and areas for continuous improvement.
- Contribute to engineering best practices, version control, code quality, and the technical evolution of the data science team.
- Investigate and evaluate emerging machine learning and AI approaches that could improve existing products, processes, or risk systems.
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