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# Global Analytics Data Science

- **Company:** Avison Young
- **Location:** Denver, CO, United States
- **Salary:** $80,000.0 - $95,000.0
- **Contract:** Permanent contract
- **Skills:** Sql Data Warehouse, 3d Models, Geographic Information Systems, Application Programming Interfaces (APIs), Data Analysis, Microsoft Azure, Data Visualization, Database Queries, Machine Learning, Project Management Software, Azure Machine Learning, Spatial Data Infrastructures, Tableau (Software), Transaction Processing (Computing), Snowflake, Deep Learning, Jupyter, Matplotlib, Scikit Learn, Statistics Packages, Data Analytics, Build Tools, Streamlit Framework
- **Published:** November 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/global-analytics-data-science-denver-co--3631491d-1980-45f4-a6b8-e8c238b31926

## About the Role

Data Science, Commercial Real Estate, Brokerage, Financial Planning, Transaction Processing/Management, Financial Services, Team Player, Customer Support/Service, Real Estate, Data Science, * Bachelor's degree with advanced study in quantitative methods required; advanced degree preferred.

 * Expert knowledge of Python/R, with a focus on machine learning and 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 is a plus.
 * Strong SQL skills and experience with a cloud data warehouse such as Snowflake. Familiarity with geospatial data types and functions in a warehouse is a plus.
 * Data visualization skills using common libraries such as Matplotlib or Folium.
 * Proficiency in communicating via notebook formats such as Jupyter. Proficiency in other output formats such as Tableau, Streamlit/Shiny, and D3 is also valuable.
 * Experience building or consuming third-party data sources and APIs (e.g., routing or isochrone services, commercial real estate, demographic, or points-of-interest data) is a plus.
 * Exposure to the commercial real estate, healthcare, or place-based analytics domains is a plus.
 * Experience with ML platforms and deep learning frameworks is valuable but not required.
 * Strong project management skills.
 * Team player, adaptable to fast-paced and quickly changing environments and work priorities.
 * Highly creative individual with the ability to communicate visually and understand design language, while identifying and solving problems efficiently.

## Description

As a Global Analytics professional, you will use your creative and technical skills in data science to support Avison Young's external clients and internal stakeholders. You'll develop models that help solve critical problems and build systems that run those models reliably and efficiently. A typical day is split between designing, testing, maintaining, and building data science products with the team, and meeting with stakeholders to understand analytics requirements and data needs.

The base salary is aligned with market data and is estimated between $80,000 to $95,000 with the ability to achieve additional compensation through bonus. This salary range reflects base compensation for the position across all US locations. Within this range, individual pay is determined by work location and other factors including relevant education/training, experience, and internal equity.

Responsibilities

 * Work with data science and analytics leads to create productionized solutions to common client problems.
 * Identify, manipulate, and connect relevant data sources as dictated by the needs of the models.
 * Process, clean, and verify the integrity of data used for analysis.
 * Build and maintain spatial data pipelines
 * Research and design models to efficiently generate accurate solutions.
 * Write clear technical requirements, such as user stories with acceptance criteria, and track work in a project management tool such as Azure DevOps.
 * Assist in summarizing and presenting findings to both clients and company leadership in a clear and concise manner.
 * Translate technical methods and limitations into plain language for non-technical business stakeholders.
 * And, of course, other duties as assigned.