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.
Qualifications
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.
Our Equal Opportunity Commitment
Our Equal Opportunity Commitment
Avison Young is proud to be an equal opportunity employer, committed to promoting diversity and inclusivity within our workforce. Our non-discrimination policy ensures that all individuals are treated equally, regardless of race, gender, religion, sexual orientation, or disability. We believe in fostering a positive and inclusive work environment that values accessibility and fair recruitment practices for all employees. We hope you will join us in committing to create a workplace that is fair, equitable, and welcoming to all.
Benefits offered to full time W2 employees
Traditional and Roth 401k with generous employer match and immediate vesting
12 weeks of Paid Parental Leave after one year of tenure
Medical, Dental, Vision Insurance
Company paid Life and AD&D Insurance
Company paid Short & Long-Term Disability
Voluntary Critical Illness and Accident Coverage
Healthcare, Dependent Care, Commuter & Transit Pre-Tax Benefits
Wellness program
Employee Assistance Program (EAP)
Work-Life Balance
Competitive paid vacation days
2 personal/wellness days
Paid holidays plus 2 floating holidays
Annual volunteer day for Day of Giving
