Senior Data Scientist - Machine Learning & Backend Architecture

Details of the offer

About Us: Zoomprop is revolutionizing the real estate investment landscape as the industry's premier data analytics platform, offering institutional-grade insights comparable to Bloomberg Terminal's role in financial markets. We provide sophisticated investment intelligence and analytics tailored specifically for real estate professionals, from institutional investors to brokerages and investment strategists.
Our leadership team brings exceptional expertise and a proven track record of success. Our CEO has demonstrated remarkable business acumen, having successfully raised over $300 million across multiple ventures, with their most recent achievement being a $4 billion merger IPO. Supporting this vision, our President brings valuable early-stage startup experience, having played pivotal roles in two successful acquisitions and an IPO.
As a venture-backed startup, we combine this wealth of expertise with cutting-edge technology to transform how investment decisions are made in the real estate sector. Our platform goes beyond basic market analysis, offering sophisticated tools and insights that enable our clients to identify and capitalize on prime investment opportunities with unprecedented precision.
\n Key ResponsibilitiesDevelop and improve machine learning models for real estate market analysis and forecastingDesign and implement data acquisition and processing pipelinesCreate and maintain our AI assistant capabilitiesEnsure data accuracy and quality across our extensive property databaseOptimize backend architecture for scalability and performanceCollaborate with product team to implement new features and capabilitiesDesign and maintain API endpoints for data access and integrationImplement robust testing and validation frameworks for ML models Required QualificationsAdvanced degree in Computer Science, Data Science, or related field5+ years experience in machine learning and data scienceStrong programming skills in Python and experience with ML frameworksExperience with large-scale data processing and ETL pipelinesProficiency in database design and optimizationExperience with API design and implementationStrong background in statistics and experimental design Preferred QualificationsExperience with real estate data or market analysisKnowledge of time series forecasting and geospatial analysisExperience with cloud infrastructure (AWS/GCP/Azure)Background in natural language processing for AI assistantsContributions to open-source projects or research publications
\n$80,000 - $175,000 a year
We're seeking a senior-level Data Scientist who can bridge the gap between advanced machine learning and practical implementation. You'll be responsible for enhancing our AI capabilities while ensuring robust backend architecture to support our growing platform.
\nWe're a tight-knit team offering more than just a role - we're offering an opportunity to make a real impact. As we continue to revolutionize real estate investment analytics, we provide a comprehensive benefits package that reflects our commitment to our team's success and well-being. From competitive compensation with equity participation to full health coverage and flexible work arrangements, we ensure our team members are well-supported. Our remote-friendly culture emphasizes professional growth and innovation, giving you the freedom to shape both your career and the future of real estate technology. If you're ready to join a fast-paced environment where your contributions will have immediate and lasting impact, we'd love to connect with you.


Nominal Salary: To be agreed

Source: Grabsjobs_Co

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