Data Science and Analytics Specialist at HR&A Advisors
New York, NY
$83,200–$98,571from the description
Aug 11, 2026
New York, NY
Sep 24, 2026
What this job asks for AI summary
A data science and analytics specialist role at an urban advisory firm's internal "Labs" team, supporting both client-facing projects and internal tooling across housing, broadband, and economic development work. Day-to-day responsibilities include geospatial and economic data analysis, building dashboards and interactive tools, and translating findings for non-technical audiences. Suited to an early-career professional with 2–4 years of experience who wants to grow into owning full workstreams.
Mid level · 2+ years · New York-Newark-Jersey City, NY-NJ-PA · Bachelor's required · Full-time
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How this req sits in the market our data
Roughly 1,100 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (data scientists). range 230–1,650
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $103,548–$176,968). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 13, 2026. It is a model, not a headcount.
Why we read it this way (6)
The role blends data science (Python, geospatial modeling, economic indicators) with some BI/reporting and web development work, making it a genuine hybrid between 15-2051 Data Scientists and 15-2031 Operations Research Analysts; 15-2051 was chosen as the primary code given the emphasis on modeling, geospatial analysis, and data science methodology.
A Bachelor's degree is listed as required; a Master's is explicitly stated as preferred, not required.
The posting states '2-4 years of relevant professional experience, or a strong portfolio that demonstrates equivalent experience' — the degree requirement and experience floor are both soft in practice, but the degree is framed as a baseline expectation rather than purely optional.
GeoPandas and Shapely are listed together as examples of geospatial packages under a single Python proficiency requirement; they are captured as a paired skill with alternatives rather than fully independent gates.
React/Next.js, FastAPI, PostGIS, DuckDB, and generative AI prototyping/wireframing experience all appear under an explicit 'Preferred' heading.
The role is hybrid (minimum 3 days in the New York office per week), not fully remote.
Read the full posting
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