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Data Scientist I - Fraud Reporting - Truist Bank
Data Scientist
Entry‑level Data Scientist focused on fraud detection, leveraging Python, SQL, and machine learning to build predictive models and dashboards that protect financial transactions.
About the role
Key Responsibilities
- Develop and maintain fraud detection models using Python and SQL.
- Analyze large datasets to identify patterns and anomalies in transaction data.
- Collaborate with cross‑functional teams to integrate models into production systems on AWS.
- Create interactive dashboards and visualizations to communicate findings to stakeholders.
- Continuously monitor model performance and refine algorithms to improve accuracy.
Requirements
- Bachelor’s degree in Computer Science, Statistics, or related field.
- Proficiency in Python, SQL, and experience with machine learning libraries (scikit‑learn, TensorFlow).
- Knowledge of fraud analytics concepts and techniques.
- Experience with data visualization tools (Tableau, Power BI) and cloud platforms (AWS).
- Strong analytical, problem‑solving, and communication skills.
Skills
pythonsqlmachine learningaws