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Analyst II, Data Science - Dun & Bradstreet
Data Scientist
Data Science Analyst supporting Trade and Credit Risk Analytics, applying R, Python, SQL and machine learning to build predictive models and insights that drive risk decisions.
About the role
Key Responsibilities
- Develop and maintain predictive models for trade and credit risk using R and Python.
- Extract, clean, and transform large datasets with SQL and data engineering tools.
- Collaborate with cross‑functional teams to define business requirements and translate them into analytical solutions.
- Visualize findings and present actionable insights to stakeholders using Tableau or Power BI.
- Document model assumptions, performance metrics, and validation procedures.
Requirements
- Bachelor’s degree in Statistics, Computer Science, Engineering or related field.
- 3+ years of experience in data science or analytics roles.
- Proficiency in R, Python (pandas, scikit‑learn) and SQL.
- Strong knowledge of statistical modeling, machine learning algorithms, and model validation.
- Excellent communication skills and ability to work collaboratively in a fast‑paced environment.
Skills
pythonsqlmachine learningdata analysis