Lead Data Scientist, Real Estate

CAPE Analytics provides inspection-quality condition and property characteristics data for 110 million unique structures across the United States, derived from aerial imagery via advanced computer vision. This enables HELOC originators and investors, single-family rental investors, and loan traders to access valuable property attributes with the accuracy and detail that traditionally required an on-site inspection. Leveraging CAPE Analytics, these verticals have access to more accurate property valuations, improved decisions around bids, buys, and capital expenditure needs for portfolios, and increased efficiency by avoiding time-consuming research. Founded in 2014, CAPE Analytics is backed by leading venture firms and innovative insurers and is comprised of computer vision, data science, and risk analysis experts.

THE OPPORTUNITY

As a Lead Data Scientist on CAPE’s Data Science team, you’ll collaborate with Data Scientists, Computer Vision/Machine Learning Engineers, Data Engineers, and members across Software Engineering, Product, and Sales teams to build robust, scalable machine learning models for identification and annotation of the built world. Additionally, you will develop expertise in ground truth generation, model performance analysis, iterative model development, and unsupervised mapping of the feature space to bring scientific rigor, scalability, and robust performance to our core product offerings.

As a senior member of the team, you will also oversee the work of other data scientists in the team and work with Product Managers to plan the roadmap for the team.

Over the past 6 years, we’ve constructed an analytics platform purpose-built for deep learning that has led us to be adopted by leading insurance carriers across the U.S., Canada, and Australia...but we are just getting started. On the heels of our recent $44 million Series C financing, we’re growing rapidly. In CAPE’s next phase, we’re setting out to solve the biggest problems in the Real Estate industry.

THE TECH STACK

CAPE leverages all available tools and technologies to build our best-in-class tech-stack, which affords us flexibility of fast-deployments, along with the stability to support aggressive SLAs for critical-path client APIs and applications. We build our models using Pytorch and Tensorflow, and leverage Python, Spark and Postgres across our AWS-deployed cloud infrastructure.

THE TEAM

You will work with some of the smartest data scientists in the industry. They are passionate about the work they do and have collectively built the industry’s leading AI/Analytics product. Success only comes with great team culture, camaraderie, open communication and hard work. These are the qualities that you will experience and enjoy at Cape.

COMPENSATION & BENEFITS

Cape Analytics believes in creating a more equitable environment for everyone, and is committed to standing against wage gap disparities that are widened by limited pay transparency.

Our base range for this position is: $164,000 - $246,000.

Positions at Cape may also include stock options, bonus opportunities, and/or variable incentive pay (commissions) to supplement your base earnings. Additionally, Cape offers top-notch insurance options and competitive benefits- such as unlimited PTO, company outings, remote work capabilities and more!

We believe:

***CAPE Analytics is an E-verify participant.***