Data Scientist at Housecanary

HouseCanary is creating a more efficient real estate marketplace, where its trusted property valuations help consumers and investors enjoy a frictionless experience in buying, financing, and improving their homes. By working directly with institutional investors, HouseCanary already powers more than $200 million in real estate transactions each month. Through partnerships with leading financial institutions, HouseCanary’s ComeHome platform will enable consumers to close on more than $100 billion of real estate transactions this year. HouseCanary recently raised $65M in Series C funding as our team continues our hyper-growth. Founded in 2013, HouseCanary has built its reputation on developing unique analytics for the $30.7 trillion residential real estate market, based on big data and refined through machine learning. By combining this technology with its nationwide brokerage, HouseCanary is uniquely positioned to connect investors and consumers alike to the information that they care most about in an effort to modernize and streamline the home buying and home ownership process.

We are recognized on Built-in's Best Places to Work, including:
Colorado Best Places to Work
Colorado Best Midsize Companies to Work For
Colorado Best Paying Companies
SF Best Midsize Companies to Work For
We are Inc. Magazine's Best Workplaces Honoree 2022

We’re seeking a passionate Data Scientist to help develop and implement best-in-class analytical models used to power HouseCanary products.


What you'll do:

Help product managers, stakeholders, and data analysts derive the most value out of research models, algorithms, and discoveries by communicating research output in an easily digestible fashion
Aid in communicating research outputs to potential and current clients
Define, build and own statistical and machine learning models, algorithms and bodies of research
Collaborate with data engineers to integrate models and various research initiatives into HouseCanary products
Derive new key performance metrics for measuring model performance and stability
Evaluate new data sources for quality and core model impact



What you have:

Undergraduate degree in statistics, mathematics, economics, engineering or another quantitative discipline
At least one year of model building experience or experience implementing models in a real-world application
Advanced knowledge of one or more programming languages.  At least one of these being R and/or Python is required
Intermediate knowledge of SQL is required



Special consideration for: 

Knowledge and experience in the residential real estate market
Experience interacting with external clients in an analytics-oriented role


We strongly encourage people of color, women, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, and individuals with disabilities to apply. HouseCanary is an equal opportunity employer and welcomes everyone to our team. If you need reasonable adjustments at any point in the application or interview process, please let us know.  In your application, please feel free to note which pronouns you use (For example - she/her, he/him, they/them, etc).