Job Description

As a people manager and data science econometrician focused on Dun and Bradstreet’s Public Sector team, you should love tackling hard problems utilizing Gen AI, Machine Learning, and econometric approaches using large datasets. The Senior Manager, Data Science - Public Sector will be enthusiastic to learn new methods and technology and directly mentor others in the career. The Senior Manager, Data Science - Public Sector will serve as an expert in your respective domain, learn from others skilled in other domains, and train and support individuals in developing technical expertise to solve business and policy relevant problems.

Responsibilities

• Lead development of solutions using Generative AI, vector search, classification and geo-spatial methods, driving innovation and adoption.
• Develop approaches leveraging econometric, sampling, time series and ML methods blended with economic theory (causal inference, spatial economics).
• Prepare publication quality economic reports/commentaries/papers/presentations.
• Lead and participate in drafting RFIs and RFPs.
• Communicate analytical results to business managers and senior leadership.
• Lead all aspects of ongoing modeling engagements (stakeholder management, design, development, validation, calibration, documentation, approval, implementation, monitoring, visualization, reporting).
• Advise team members, empowering individuals to take ownership of projects.
• Develop and train individuals on existing systems and data sources for AI projects.
• Drive timely retrieval of analytics data to create algorithms meeting business needs.

Requirements

• 5 to 10 years experience with a degree in Economics, Econometrics, Statistics, Mathematics, or Computer Science with a quantitative specialization.
• Programming (Python/Pyspark, SQL, Linux/command line) skills.
• Ability to work with GPUs, VMs, and data science tools like Jira, Git, Confluence.
• Lead projects involving large-scale unstructured data using Generative AI and vector search methods.
• Keep up with and lead working sessions on new developments in Generative AI, agentic approaches, and practical implementation.
• Ability to work on an interdisciplinary and cross-functional team.
• Strong collaboration, communication (including writing), and project management skills.
• Ability to communicate complex ideas to both technical and non-technical audiences.

Benefits

• No benefits