Global Analytics Data Science
Avison Young · Washington D.C., DC, US
About this role
## Global Analytics Data Science ### About Avison Young Avison Young is a global commercial real estate brokerage and advisory firm providing transaction, management, financial, and consulting services. We’re committed to collaboration, personal and professional growth, and creating a supportive, inclusive workplace. ### Overview As a **Global Analytics** professional, you’ll use your creative and technical skills in **data science** to support both **external clients** and **internal stakeholders**. You’ll develop models to solve critical problems and build reliable, efficient systems that run those models. **Typical day:** designing, testing, maintaining, and building data science products—plus meeting with stakeholders to understand analytics requirements and data needs. **Compensation:** Base salary aligned with market data, estimated **$80,000–$95,000** (US locations). Additional compensation may be available through bonus. ### Responsibilities - Work with data science and analytics leads to create **productionized solutions** for common client problems - Identify, manipulate, and connect relevant data sources for model needs - **Process, clean, and verify** data integrity for analysis - Build and maintain **spatial data pipelines** - Research and design models to generate accurate, efficient solutions - Write clear technical requirements (e.g., **user stories with acceptance criteria**) and track work in **Azure DevOps** - Summarize and present findings clearly to clients and company leadership - Translate technical methods and limitations into **plain language** for non-technical stakeholders - Other duties as assigned ### Qualifications - **Bachelor’s degree** with advanced study in quantitative methods (advanced degree preferred) - Expert knowledge of **Python/R** with machine learning/modeling libraries (e.g., **scikit-learn**, **statsmodels**) - Experience with **geospatial data** and libraries such as **GeoPandas** and **Shapely** - Familiarity with spatial statistics tools and spatial indexing systems such as **H3** (plus) - Strong **SQL** skills and experience with a cloud data warehouse such as **Snowflake** - Familiarity with geospatial data types/functions in a warehouse (plus) - Data visualization skills using **Matplotlib** or **Folium** - Proficiency with notebook formats such as **Jupyter** - Experience with output formats such as **Tableau**, **Streamlit/Shiny**, and **D3** (valuable) - Experience building/consuming third-party data sources and APIs (e.g., routing/isochrone services, CRE, demographic, points-of-interest) (plus) - Exposure to commercial real estate, healthcare, or place-based analytics domains (plus) - Experience with ML platforms and deep learning frameworks (valuable, not required) - Strong project management skills - Team player; adaptable to fast-paced, changing priorities - Highly creative; can communicate visually and solve problems efficiently ### Equal Opportunity Commitment Avison Young is an equal opportunity employer committed to diversity and inclusion. We do not discriminate based on race, gender, religion, sexual orientation, disability, or other protected characteristics. ### Benefits (Full-Time W2 Employees) - **401(k):** Traditional & Roth with generous employer match and immediate vesting - **Paid Parental Leave:** 12 weeks after one year of tenure - **Insurance:** Medical, Dental, Vision; Company-paid Life and AD&D; Company-paid Short & Long-Term Disability - **Voluntary C
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