Data Scientist
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About the Role
About Us The Smarter Way to Invest in Residential Real Estate - Powered by AI. At Smart Bricks, we empower investors to make faster, smarter, and more informed decisions with 99% less effort.
Key Skills for This Role
Full Job Posting
About Us
The Smarter Way to Invest in Residential Real Estate - Powered by AI.
At Smart Bricks, we empower investors to make faster, smarter, and more informed decisions with 99% less effort.
By leveraging AI, machine learning, and computer vision, we analyze 100x more data points and properties than the average investor—uncovering more and better investment opportunities.
Designed by real estate experts, for real estate investors.
Proudly backed by NVIDIA, Microsoft, 500 Global, and leaders from Zillow, Airbnb, OpenAI, and others.
Role Overview
The Data Scientist will play a pivotal role in developing and optimizing data-driven models that power Smart Bricks' innovative real estate solutions.
This hands-on role involves working with large datasets, building predictive models, and collaborating closely with cross-functional teams to embed advanced data science solutions into our platform.
Key Responsibilities
- Design and implement machine learning models, including predictive and automated valuation models (AVM), to support our AI-driven platform.
- Conduct exploratory data analysis to identify patterns and insights from diverse real estate data sources.
- Collaborate with engineering and product teams to integrate and deploy machine learning models into production.
- Monitor model performance and continuously refine algorithms to enhance accuracy and scalability.
- Contribute to Smart Bricks' data strategy by staying up-to-date with the latest advancements in data science and real estate technology.
Requirements
- 5+ years of experience in data science or machine learning, preferably within real estate, Finttech, or a related field.
- Proven expertise in building and deploying machine learning models for production, including regression, classification, and time-series forecasting.
- Strong knowledge of Python, R, SQL, and machine learning frameworks such as TensorFlow or PyTorch.
- Experience with data visualization tools and libraries (e.g., Tableau, Matplotlib, Seaborn) to present insights effectively.
- Ability to communicate complex technical concepts to non-technical stakeholders.
- Excellent problem-solving skills and an innovative mindset.
Why Join Us?
Shape the Future of Real Estate
: Be at the forefront of transforming the real estate industry with AI solutions that simplify property investment.
Collaborative Environment
Work with a passionate team of innovators focused on solving complex real estate challenges.
Professional Growth
: Join a fast-growing startup where you'll have the opportunity to make a significant impact.
Flexible Work Environment
: We value work-life balance and offer flexible working arrangements.
Mission-Driven Impact
: Contribute to making property investment decisions simpler, backed by some of the industry's leading investors.
If you're passionate about building innovative products and excited to shape the future of real estate investing, we'd love to hear from you!
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