Public-Sector Data Science & Analytics Lead

AlphaGov is seeking a Public-Sector Data Science & Analytics Lead for project-based engagements with cities, counties, state agencies, transit/utility authorities, school systems, and related public employers. You will design and deliver forecasting, data-quality, performance-measurement, and analytics-implementation work that produces decision-ready products for government clients.

This is applied analytics consulting — not staff-augmentation coding, pure academic research, or product SaaS sales.

What you'll do: - Lead or co-lead public-sector analytics engagements (forecasting, performance measurement, data quality, dashboard/implementation support) - Frame analytic questions with domain experts and translate findings for executives and elected/appointed stakeholders - Build reproducible analyses using administrative and public datasets; document methods and limitations - Advise on data governance, quality controls, and sustainable handoff to agency staff - Contribute technical write-ups, scopes, and proposal content for AlphaGov pursuits - Coordinate with evaluation, LMI/workforce, and operations SMEs when scopes overlap Requirements Required: 5+ years applied data science, analytics, or quantitative public-policy work (government, public consulting, or research-to-practice) Demonstrated delivery of at least two public-sector or quasi-public analytic products (agency, your role, year) Strong statistical literacy and clear writing for non-technical audiences Ability to work project-based with AlphaGov as a named collaborator on proposals when permissioned Nice to have: Python and/or R plus modern BI (Power BI, Tableau, Looker) Experience with government administrative data, privacy, or IRB-adjacent constraints Transit, utility, workforce, or education analytics Cloud data-warehouse familiarity (BigQuery, Snowflake, Redshift) Originally posted on Himalayas