Real Estate Data Scientist (Remote)

Placements24; Bloemfontein; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Stock options

Health insurance

Paid time off

Job summary

Placements24 is seeking a Real Estate Data Scientist to join a fully remote team focused on applying advanced analytics to property investments, market forecasting, and customer insights. You will work with large datasets, building models and visualizations to inform strategic decisions from your home office.

The ideal candidate holds a Master’s or Ph.D. in a quantitative field and has a proven track record in data science, preferably in real estate or finance.

Qualifications

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
• Proven experience as a Data Scientist with a strong portfolio of real-world projects, preferably in real estate or finance.
• Expertise in programming languages such as Python or R, and proficiency with data manipulation libraries (Pandas, NumPy).
• Strong knowledge of machine learning techniques (e.g., regression, classification, clustering, deep learning) and statistical modeling.
• Experience with SQL and working with large relational databases.
• Familiarity with big data technologies (e.g., Spark) and cloud platforms (AWS, Azure, GCP) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts to a diverse audience.
• Experience analyzing South African property data, especially relating to Welkom, Free State, is beneficial.

Responsibilities

• Design, develop, and implement statistical models and machine learning algorithms to analyze real estate data.
• Extract, clean, and transform large, complex datasets from various sources, including property listings, market reports, and economic indicators.
• Develop predictive models for property valuation, price forecasting, market trend analysis, and investment risk assessment.
• Create data visualizations and dashboards to communicate complex findings to non-technical stakeholders.
• Collaborate with product managers, engineers, and business leaders to identify key business questions and develop data-driven solutions.
• Stay current with the latest advancements in data science, machine learning, and real estate technology.
• Conduct A/B testing and other experimental designs to evaluate the effectiveness of new features or strategies.
• Contribute to the continuous improvement of data infrastructure and analytical processes.

Skills

Python

R

Pandas

NumPy

SQL

Spark

AWS

Azure

GCP

Machine learning

Statistical modeling

Communication

Education

Master's or Ph.D. in Data Science/Statistics/CS/Economics or related field

Tools

Spark

SQL

Pandas

NumPy

Job description

About the Role

Our client, a pioneering proptech company leveraging big data and AI to revolutionize the real estate market, is seeking a highly skilled Real Estate Data Scientist to join their innovative, fully remote team. This role is central to developing advanced analytical models that drive strategic decisions for property investments, market forecasting, and customer insights. You will work with vast datasets, applying statistical, machine learning, and AI techniques to extract meaningful patterns and predict future trends in the real estate sector. This position offers a unique opportunity to shape the future of real estate technology from the comfort of your home office. We are looking for a curious, analytical mind passionate about applying data science to solve complex real-world problems in the property domain. This role is key to enhancing our client's competitive edge.

Key Responsibilities

• Design, develop, and implement statistical models and machine learning algorithms to analyze real estate data.
• Extract, clean, and transform large, complex datasets from various sources, including property listings, market reports, and economic indicators.
• Develop predictive models for property valuation, price forecasting, market trend analysis, and investment risk assessment.
• Create data visualizations and dashboards to communicate complex findings to non-technical stakeholders.
• Collaborate with product managers, engineers, and business leaders to identify key business questions and develop data-driven solutions.
• Stay current with the latest advancements in data science, machine learning, and real estate technology.
• Conduct A/B testing and other experimental designs to evaluate the effectiveness of new features or strategies.
• Contribute to the continuous improvement of data infrastructure and analytical processes.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
• Proven experience as a Data Scientist, with a strong portfolio of real-world projects, preferably in the real estate or finance sector.
• Expertise in programming languages such as Python or R, and proficiency with data manipulation libraries (e.g., Pandas, NumPy).
• Strong knowledge of machine learning techniques (e.g., regression, classification, clustering, deep learning) and statistical modeling.
• Experience with SQL and working with large relational databases.
• Familiarity with big data technologies (e.g., Spark) and cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts to a diverse audience.
• Experience analyzing South African property data, especially relating to Welkom , Free State, is beneficial.

Benefits

This fully remote position offers exceptional work-life balance and the flexibility to work from anywhere. Our client provides a highly competitive salary, potential for stock options, and a comprehensive benefits package including health insurance and paid time off. You will have access to cutting-edge tools and technologies and work alongside a team of brilliant minds. Our client fosters a culture of innovation, continuous learning, and encourages contributions to open-source projects. This is an unparalleled opportunity to make a significant impact in the rapidly evolving proptech industry.