Senior Data Scientist
Compass
full-time
Posted on:
Location Type: Remote
Location: Brazil
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Job Level
About the role
- Develop and evaluate classification models, monitoring performance metrics;
- Apply techniques for handling data imbalance and feature engineering;
- Work with large-scale transactional and financial data;
- Use MLflow and Unity Catalog for model versioning, traceability, and governance;
- Perform versioning, validation, and promotion of models across environments;
- Deploy models to production through Model Serving;
- Optimize hyperparameters and calibrate thresholds according to business rules;
- Process large-scale data using Spark (Spark SQL and PySpark);
- Automate training and deployment pipelines;
- Version projects and source code using GitLab;
- Develop machine learning solutions on the Databricks platform.
Requirements
- Strong knowledge in Data Science, Statistics, and Machine Learning;
- Experience in model productionization, including modeling, metric definition, performance evaluation, and ML solution governance;
- Proficiency in Python, SQL, and Spark for data analysis, processing, and manipulation;
- Experience in validation, homologation, and evaluation processes for analytical solutions;
- Experience with AWS cloud services;
- Collaborative profile, focused on knowledge sharing and enabling other data scientists.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
classification modelsdata imbalance handlingfeature engineeringmodel versioningmodel validationmodel promotionhyperparameter optimizationdata processingmachine learning solutionsdata analysis
Soft Skills
collaborationknowledge sharingenabling others