onsite
Data Scientist I - Fraud Reporting - Truist
Data Scientist
Entry‑level Data Scientist focused on fraud analytics, building predictive models and dashboards using Python, SQL, and Tableau, with cloud experience on AWS.
About the role
Key Responsibilities
- Develop and maintain fraud detection models using Python and machine learning techniques.
- Extract, clean, and transform large datasets with SQL and data pipelines.
- Create interactive dashboards and visualizations in Tableau to communicate findings to stakeholders.
- Collaborate with cross‑functional teams to define fraud metrics and improve detection accuracy.
- Document model logic, performance metrics, and maintain reproducible code repositories.
Requirements
- Bachelor’s degree in Computer Science, Statistics, or related field.
- Proficiency in Python, SQL, and experience with machine learning libraries (scikit‑learn, XGBoost).
- Strong analytical skills and ability to translate business problems into data solutions.
- Experience with data visualization tools such as Tableau.
- Familiarity with cloud platforms, preferably AWS.
Skills
pythonsqlmachine learningdata analysistableauaws