Data Science and Analytics Specialist
About The Position
HR&A Labs is a rapidly growing internal team that works closely with project teams across all of our business lines to prototype products, serve data science requests, and increase the quality and efficiency of our work. Over the past four years, HR&A Labs has developed dashboards, products, and actionable data analysis to state and local governments to push forward housing access, broadband adoption, and data transparency. This position will primarily support the design and implementation of internal data tools and be deployed onto projects to help provide data science and analytics expertise across a wide set of business lines.
Requirements
- 2-4 years of relevant professional experience, or a strong portfolio that demonstrates equivalent capability in analytics and product thinking
- Proficiency in Python, including geospatial analysis and packages (e.g., GeoPandas, Shapely)
- Demonstrated ability to work with census data, PUMS, and other economic and demographic datasets
- Proficiency cleaning, manipulating, and merging public, proprietary, and internal datasets for analysis
- Fluency with LLMs and other AI tools as part of a daily workflow, paired with the judgment to independently verify data and AI outputs and catch when they are wrong
- Clear written and verbal communication, including the ability to translate technical analysis into something a non-technical client can read and act on
- Evidence of self-directed drive: something you built, shipped, or contributed to that nobody assigned you (a side project, a tool, an open-source contribution)
- Ability to manage your own deadlines across multiple workstreams and escalate early when something is at risk
- Bachelor’s degree (master’s preferred) with a focus on data science/analytics, geographic information science/analytics, urban planning/design/data, regional science/analytics, architecture, economics, business, public policy, real estate, or other related fields
Nice To Haves
- Experience building web-based tools and dashboards using publicly available APIs
- Experience with front-end development (React/Next.js) and/or back-end services (FastAPI)
- Experience with spatial data infrastructure (PostGIS, vector tiles) or analytical databases (DuckDB)
- Experience conducting geospatial, vicinity/buffer, site suitability, socio-economic, and demographic analysis
- Experience in product design, rapid prototyping (including with generative AI tools), and wireframing
Responsibilities
- Conducting data and geospatial analysis
- Developing visualizations
- Building interactive tools and dashboards
- Developing methodologies for key economic indicators
- Procuring and analyzing large datasets
- Building and maintaining data systems and tools
- Contributing to fast-moving project teams
- Driving discrete pieces of the work and growing into leading workstreams
- Supporting the design and implementation of internal data tools
- Providing data science and analytics expertise across a wide set of business lines
Benefits
- Opportunity for a discretionary year-end bonus
- Employee Stock Ownership Plan (ESOP)
- Firm contributes funds to a long-term wealth-building account
- May make contributions to other retirement accounts
- Comprehensive benefits package
- Coverage of 90-95% of healthcare premiums
- Dental coverage
- Vision coverage
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
