onsite
Data Scientist - First Cash
Data Scientist
Data Scientist role focused on transforming large datasets into actionable insights for credit, fraud, and marketing using Python, SQL, machine learning, and advanced visualization tools like Tableau and Power BI.
About the role
Key Responsibilities
- Analyze large, complex datasets to identify trends and support strategic decision‑making across credit, fraud, and marketing functions.
- Develop, validate, and maintain machine learning models for credit risk assessment, fraud detection, and marketing performance optimization.
- Create clear, data‑driven reports and presentations for business stakeholders, translating technical findings into actionable insights.
- Automate reporting workflows and build interactive dashboards using Tableau or Power BI to provide real‑time visibility into key metrics.
- Collaborate with cross‑functional teams to define data requirements, improve data quality, and ensure model scalability.
Requirements
- Proven experience with Python, SQL, and machine learning libraries (scikit‑learn, TensorFlow, PyTorch).
- Strong background in data analysis, statistical modeling, and predictive analytics.
- Hands‑on expertise in Tableau or Power BI for dashboard development and data visualization.
- Experience in credit risk, fraud detection, or marketing analytics is highly desirable.
- Excellent communication skills and ability to present complex insights to non‑technical audiences.
Skills
pythonsqlmachine learningtableaupower bidata analysis