Senior Data Scientist, Compass
$120-170k
Real estate technology platform
Job no longer available
Real estate technology platform
1001+ employees
Job no longer available
$120-170k
1001+ employees
Company mission
To help everyone find their place in the world.
Role
Who you are
- Bachelor's or Master's degree in Computer Science, Statistics, Economics, or a related quantitative field
- 5+ years of experience in data science with a proven track record of delivering successful, end-to-end data science projects
- Deep expertise in a key data science domain (e.g., classification, prediction, NLP)
- Practical experience applying a range of data science methodologies (e.g., causal inference, time series analysis, advanced machine learning techniques)
- Strong proficiency in Python (e.g., pandas, scikit-learn, statsmodels, causal inference libraries)
- Expert-level SQL and experience with large datasets and distributed computing frameworks (e.g., Spark, Hadoop)
- Strong adherence to clean code principles and engineering best practices
- Proven ability to translate complex analytical findings into actionable business insights for diverse audiences
- Exceptional communication and collaboration skills, with a proven ability to work effectively in a fast-paced, cross-functional environment
- Experience in the Real Estate industry or other market-driven domains is a plus
What the job involves
- We are seeking a highly skilled and motivated Senior Data Scientist to join our data science team
- In this role, you will leverage your deep expertise in machine learning, statistical modeling, and data analysis to solve complex problems and drive strategic decisions across the organization
- You will work closely with business stakeholders and engineers to uncover insights and develop cutting-edge data-driven solutions that directly influence strategic planning, resource allocation, and product development
- Design and execute rigorous data-driven research to analyze the impact of various factors on business outcomes
- Develop, validate, and deploy advanced Machine Learning models to predict market trends and inform strategic business decisions
- Collaborate with business stakeholders to define key questions, translate them into analytical problems, and deliver actionable insights
- Communicate complex methodologies and findings clearly to technical and non-technical audiences
- Stay abreast of industry best practices and state-of-the-art methodology in data science
Our take
Compass uses an AI-driven platform to smooth out and speed up the process of buying, selling, or renting property. It functions much like a traditional broker, but employs tech to reduce the time, uncertainty, cost and friction of transactions for buyers, sellers & agents.
It's disrupting a sector so far largely averse to tech innovation, allowing users to close deals in less time than the industry average of 30-45 days. Compass is now the largest independent real estate brokerage in the USA, with over 29,000 agents nationwide.
Recently, Compass acquired Anywhere Real Estate in a major leap that cements its place among the biggest players in US property. By uniting leading brokerage brands and expanding its agent network on a massive scale, Compass strengthens both its readch and its techn-driven platfrom. The move add new revenue opportunities and efficiencies, positioning the company to navigate today's tough housing market and shape the future of real estate.
Freddie
Company Specialist at Welcome to the Jungle
Insights
15% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Jul 2019
$370m
SERIES G
Sep 2018
$400m
SERIES F
Total funding: $1.5bn
Company HQ
Midtown Manhattan, New York, NY
Leadership
Robert Reffkin
(Founder & CEO)After 2 years at McKinsey, Robert worked as a Lazard Associate and White House Fellow. They joined Goldman Sachs in 2006, where they worked as VP of Principal Investment before leaving in 2012 to found Compass. Alongside this, Robert ran 50 marathons in 50 states to raise $1 million dollars for for youth education and enrichment programs.
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