Senior Data Scientist
Tasks
- Analyze chargeback data
- Analyze customer data offline
- Build executive reports
- Build project level reports
- Collaborate with product and engineering teams
- Communicate analysis results
- Document investigation findings
- Educate internal teams and external parties
- Enhance tools and data sources
- Govern machine learning models
- Identify and report trends
- Identify patterns and anomalies
- Investigate fraud cases
- Investigate fraudulent transactions
- Perform risk evaluations
- Present findings to stakeholders
- Redefine fraud detection best practices
- Reduce false-positives
- Research anomalies
- Review suspicious activity
- Tune fraud detection rules
- Write fraud decision rules
Perks/Benefits
- N/A
Skills/Tech-stack
Accuracy | Anomaly Detection | Bitbucket | Clustering | Data Preprocessing | F1-score | Feature Engineering | Git | Graph Analysis | Jupyter Notebook | LightGBM | Logistic Regression | Machine Learning | Matplotlib | Model Governance | NumPy | PR AUC | Pandas | PowerBI | Precisión | Python | ROC-AUC | Recall | SQL | Scikit-learn | Snowflake | Studio Code | Supervised Learning | Tableau | Visual Studio | Visual Studio Code | XGBoost
Education
Master of Business Analytics | Master of Computer Science | Master of Information Systems | Master of Science
Roles
Regions
Countries
States
Cities
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