Public-Sector Data Science & Analytics Lead
LocationUnited States
SeniorityLead
Experience5+ yrs
Company size1,001–5,000 people
PostedSep 23, 2026 · 2w ago
Verified live22h ago
At a glanceSummarised by Seekless from the posting.
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
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)
Skills
Python
R
Power BI
Tableau
Looker
BigQuery
Snowflake
Redshift
About the role
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.
Responsibilities
What you’ll do:
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Lead or co-lead public-sector analytics engagements (forecasting, performance measurement, data quality, dashboard/implementation support)
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Frame analytic questions with domain experts and translate findings for executives and elected/appointed stakeholders
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Build reproducible analyses using administrative and public datasets; document methods and limitations
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Advise on data governance, quality controls, and sustainable handoff to agency staff
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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
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)