Reonomy leverages big data, partnerships and machine learning to connect the fragmented, disparate world of commercial real estate. By providing unparalleled access to property intelligence, Reonomy products empower individuals, teams, and companies to unlock insights and discover new opportunities. 

Headquartered in New York, Reonomy has raised $128 million from top investors, including Sapphire Ventures, Bain Capital, Softbank, Primary Ventures, Georgian Partners, Wells Fargo Strategic Capital, Citi Ventures, and Untitled Investments. Our clients represent the biggest names in CRE, including Newmark Knight Frank, CBRE, Cushman & Wakefield, and Tishman Speyer. 

If you're excited by growth, innovation and the ability to shape one of the biggest markets, join us as our journey is just beginning! 

ABOUT THE ROLE:

As a Data Scientist at Reonomy, you'll play a vital role in creating models that will serve as critical components embedded in the pipelines that support everything we offer! Reonomy's Knowledge Graph creates an unprecedented view of Commercial Real Estate across the United States. It's supported by a best-in-class data infrastructure which intelligently links disparate datasets, as well as manages the complexities in the CRE space, in order to build a first-of-its-kind data product!

In this role, you will work as part of the cross-functional team to build and embed analytics, Machine Learning and AI to better serve our customers with the information that will change the way they do business. If you consider yourself a data analytics enthusiast with an investigative mindset then keep reading!

Responsibilities include:

• Extract and combine data from multiple internal data sources, including data cleansing and noise removal 
• Perform high quality exploratory data analysis
• Feature generation, model choice and implementation to extract insights
• Collaborate with the Engineering team to design, build and improve Reonomy and Altus Group ML models
• Design tracking metrics to measure performance of Machine Learning models
• Write high quality code, actively participate in code reviews, and consistently help to ship software
• Collaborate with product management, data science, and data operations to produce ground truth sets required to measure model performance
• Present results to Data Science team and make adjustments based on the feedback

ABOUT YOU:

• 2-5 years of experience in a Data Science capacity
• Bachelor’s or Master’s degree in a quantitative field such as Statistics, Mathematics, Engineering, or Computer Science
• Demonstrated work experience with data transformation and cleaning, feature building, model implementation, and model performance evaluation
• Ability to write clean, well-organized Python code that will integrate easily into the production pipelines
• Advanced knowledge in SQL and strong data analysis skills; including collecting, analyzing, interpreting, and presenting data
• Ability to build successful ML projects with a strong engineering focus
• Preferably experience with distributed computing: PySpark and/or Scala
• Excellent communication skills with a knack for communicating findings to technical and non-technical audiences
• A detail oriented mind with inclination for investigative data work

BENEFITS:

• Competitive salary
• 100% coverage on medical, vision and dental health plans
• Company stock options
• Unlimited Vacation
• 401k plan and commuter benefits
• Access to our Continuing Education Stipend
• Perks: WFH package, FREE ClassPass membership, FREE Headspace premium membership, FREE Citi Bike membership, & team outings!

*Applicants must be currently authorized to work in the United States on a full-time basis.

**We do not accept unsolicited resumes from outside recruiters/placement agencies. Reonomy will not pay fees associated with resumes presented through unsolicited means.

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