Data Scientist (R-17065)

Dun & Bradstreet - Jacksonville, FL

Full-time - Mid Level

Jacksonville, FL

5,001-10,000 employees

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Data Scientist position at Dun & Bradstreet is a full-time role within the Analytics team, focusing on leveraging deep analytical skills and financial industry knowledge to develop tools and analytics products. The role requires collaboration with clients and stakeholders to identify business goals and opportunities for data-driven insights, ultimately improving business results. The ideal candidate will possess an advanced degree and a strong foundation in machine learning, programming, and client relationship management.

Responsibilities

• Work with decision-makers to understand business goals and identify opportunities for data and analytics.
• Participate in all aspects of modeling engagements, including design, development, validation, and reporting.
• Validate the performance of existing quantitative risk models and recommend changes as necessary.
• Grow into a Subject Matter Expert on predictive models within the Analytics team.
• Partner with internal teams to develop new business solutions in risk analytics.
• Manage multiple projects to meet challenging timelines.

Requirements

• Ph.D. or Master's in a quantitative/applied field (Statistics, Econometrics, Computer Science, etc.) with 3+ years of applicable experience.
• Strong knowledge and experience in Machine Learning and AI applications.
• Proficient programming skills in Python, PySpark, and other tools for data manipulation and statistical analysis.
• Strong SQL skills and experience.
• Excellent client collaboration skills and relationship management.
• Ability to communicate complex ideas to both technical and non-technical audiences.
• Strong knowledge of MS Office tools.

Nice-to-haves

• Strong business acumen, especially in the Financial Services Industry.
• Experience in underwriting, risk, and statistical modeling roles.
• Experience working with very large datasets.
• Experience applying modern machine learning techniques.
• Solid understanding of machine learning and explainability.
• Strong technical writing skills.

Benefits

• Generous paid time off in the first year, increasing with tenure.
• Up to 16 weeks of 100% paid parental leave after one year of employment.
• Paid sick time for personal or family care.
• Education assistance and extensive training resources.
• Paid volunteer days and donation matching through the Do Good Program.
• Competitive 401k and Employee Stock Purchase Plan with company matching.
• Health and wellness benefits, including discounted Wellhub membership rates.
• Medical, dental, and vision insurance for employees and dependents.