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