Global Analytics Data Science

Avison Young • Washington D.C., DC

1d

About The Position

As a Global Analytics professional at Avison Young, you will apply creative and technical data science skills to support external clients and internal stakeholders. You will develop models to address critical problems and build systems that run those models reliably and efficiently. The work combines designing, testing, maintaining, and building data science products with collaborating with stakeholders to understand analytics requirements and data needs.

The estimated base salary is $80,000 to $95,000, with the opportunity for additional compensation through a bonus. This range reflects base compensation across US locations; individual pay depends on location and factors including relevant education, training, experience, and internal equity.

Requirements

• Bachelor’s degree with advanced study in quantitative methods.
• Expert knowledge of Python or R, with a focus on machine learning and modeling libraries such as scikit-learn and statsmodels.
• Experience with geospatial data and libraries such as GeoPandas and Shapely.
• Strong SQL skills and experience with a cloud data warehouse such as Snowflake.
• Data visualization skills using common libraries such as Matplotlib or Folium.
• Proficiency communicating via notebook formats such as Jupyter.
• Strong project management skills.
• Ability to work as a team player and adapt to fast-paced, quickly changing environments and work priorities.
• Creativity and ability to communicate visually, understand design language, and identify and solve problems efficiently.

Nice To Haves

• An advanced degree.
• Familiarity with spatial statistics tools and spatial indexing systems such as H3.
• Familiarity with geospatial data types and functions in a data warehouse.
• Proficiency with other output formats such as Tableau, Streamlit/Shiny, and D3.
• Experience building or consuming third-party data sources and APIs, such as routing or isochrone services, commercial real estate, demographic, or points-of-interest data.
• Exposure to commercial real estate, healthcare, or place-based analytics.
• Experience with machine learning platforms and deep learning frameworks.

Responsibilities

• Work with data science and analytics leads to create productionized solutions to common client problems.
• Identify, manipulate, and connect data sources based on model needs.
• Process, clean, and verify the integrity of data used for analysis.
• Build and maintain spatial data pipelines.
• Research and design models that 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.
• Help summarize and present findings clearly and concisely to clients and company leadership.
• Explain technical methods and limitations in plain language to non-technical business stakeholders.
• Perform other duties as assigned.

Benefits

• Traditional and Roth 401(k) with employer match and immediate vesting.
• 12 weeks of paid parental leave after one year of tenure.
• Medical, dental, and vision insurance.
• Company-paid life and AD&D insurance.
• Company-paid short- and long-term disability coverage.
• Voluntary critical illness and accident coverage.
• Healthcare, dependent care, commuter, and transit pre-tax benefits.
• Wellness program.
• Employee Assistance Program (EAP).
• Competitive paid vacation days.
• Two personal/wellness days.
• Paid holidays plus two floating holidays.
• Annual volunteer day for Day of Giving.

What This Job Offers

• Job Type: Full-time