Senior Manager, Data Science - Public Sector

Key Responsibilities:

• Lead the development of solutions that use Generative AI, vector search, classification and geo-spatial methods and drive innovation and adoption in these areas.
• Develop approaches that leverage econometric, sampling, time series and ML (including deep learning) methods blended with economic theory covering topics including but not limited to causal inference and spatial economics for use as products.
• Prepare drafts of publication quality economic reports/commentaries/papers/presentations based on public sector data science solutions, and lead and participate in drafting RFIs and RFPs on topics of specialization.
• Communicate analytical results in terms that are meaningful to business managers and senior leadership internally and externally.
• Lead and participate in all aspects of ongoing modeling engagements, including stakeholder management, design, development, validation, calibration, documentation, approval, implementation, monitoring, visualization, and reporting.
• Serve as an advisor to members of your team and empower individuals to take ownership of their projects delivering on-time and meeting business requirements.
• Develop and train individuals to have working knowledge of how current systems and data sources are used in existing AI (e.g., generative and causal) related and other projects; drive timely retrieval of analytics data from existing system to create algorithms that meet business needs.

Required skills:

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