Description review
Public-Sector Data Science & Analytics Lead
AlphaHire · United States · back to the listing
HR standards
60/100
needs work
Title ↔ description
78/100
solid
Reads as
Data Scientist
98% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
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What the listing never says
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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
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