Mid-level Data Scientist – Machine Learning
Avanade
full-time
Posted on:
Location Type: Hybrid
Location: Sao Paulo • Brazil
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About the role
- Implement supervised and unsupervised Machine Learning models under guidance, performing feature engineering, validation, and exploratory analysis of structured and unstructured data.
- Develop and maintain data pipelines using Python and SQL, supporting simple refactorings for PySpark environments.
- Ensure data quality, consistency, and integrity throughout the analytics lifecycle.
- Contribute to the maintenance of production models by performing basic monitoring, performance analysis, and necessary adjustments.
- Produce clear documentation of solutions, analytical workflows, processes, and results, ensuring traceability and continuity of initiatives.
Requirements
- Hands-on experience in Data Science or Advanced Analytics.
- Strong proficiency in Python and SQL.
- Basic to intermediate knowledge of Machine Learning.
- Experience with cloud tools and modern analytics environments.
Benefits
- Meal or food allowance (meal voucher);
- Multibenefits card available up to Senior Consultant level;
- Health and dental insurance;
- Certifications and training;
- Life insurance;
- Private pension plan;
- Avababy: pregnancy support and a welcome kit for new Avanade parents;
- Company profit-sharing;
- Wellhub (employee wellbeing platform);
- Childcare assistance;
- Career advisor – career mentoring;
- Birthday off policy (day off on your birthday);
- Wellbeing sessions;
- For managerial positions or above – company vehicle, parking, and fuel allowance.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningPythonSQLFeature EngineeringData PipelinesData QualityPerformance AnalysisExploratory AnalysisPySparkAdvanced Analytics
Soft Skills
DocumentationAnalytical WorkflowsProblem SolvingAttention to Detail