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
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