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)