Cherre is the leader in real estate data and insight. We connect decision makers to accurate property and market information, and help them make faster, smarter decisions. By providing a unique "single source of truth," Cherre empowers customers to evaluate opportunities and trends faster and more accurately, while saving millions of dollars in manual data collection and analytics costs.

Cherre is looking for a Senior Data Scientist who will be building ML algorithms and AI. This role requires a combination of quantitative and software engineering skills to build scaleable solutions. Because of the complexity and variety of the data sets we use, it's critical that you have an interest in learning Real Estate and Derived datasets. Previous Real Estate experience is not required. You will not only do analysis, but will also be expected to deliver production code.

We are remote-first company. This role is open for #BI-Remote or #Hybrid

You Have

• Proven record of delivering successful data science projects.
• 3+ years of industrial software engineering experience with an emphasis on data-centric technologies.
• Advanced degree in a STEM field.
• Practical knowledge of cloud computing ecosystems (AWS, Azure, Google Cloud).
• Fluency in Python and SQL. Experience with PySpark is a plus.
• Excellent communication skills, and an ability to explain your work to customers

Benefits

• Competitive Base Salary
• Equity
• Range of Healthcare Plans
• Paid Parental Leave
• Educational Credit
• Unlimited Vacation
• Flexible Work Schedule

If this opportunity sounds interesting, apply or reach out to our internal talent team. We are happy to tell you more about Cherre: the technology we work with, the problems we solve, the team we are assembling, and the culture we all contribute to. We are excited you are considering working with us and look forward to hearing from you!

“At the top of the mountain we are all snow leopards.” - Hunter S. Thompson

Cherre is an equal opportunity employer. We pride ourselves on hiring the best people for the job no matter their race, sex, orientation, nationality, religion, disability, or age.