Real Estate Data Scientist

Placements24; Randburg; Hybrid; ZAR 900,000 - 1,800,000; Full time

Benefits offered by this job

Equity options

Fully remote work

Professional development

Job summary

Placements24 is actively seeking a Real Estate Data Scientist to drive data-led decisions in real estate markets, forecasting property values and investment performance. You will collect, clean, and analyze large datasets covering property markets, consumer behavior, and economy indicators, and build models to forecast trends.

The role emphasizes remote collaboration with engineers, PMs, and analysts while focusing on Randburg and broader Gauteng markets.

Qualifications

• Master's or PhD in a quantitative field (data science, statistics, CS, economics, etc.).
• Minimum 5 years of experience in data science with statistical modeling and ML.
• Proficiency in Python or R and libraries (scikit-learn, TensorFlow, PyTorch).
• Strong SQL skills for data extraction and manipulation.
• Experience with data visualization tools (Tableau, Power BI, Matplotlib).
• Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop).
• Excellent analytical and communication skills; able to explain complex concepts to non-technical audiences.
• Experience in real estate data is highly desirable and remote work capability is required.

Responsibilities

• Collect, process, and manage large datasets related to real estate markets, transactions, and demographics.
• Develop and implement statistical models and ML algorithms to forecast property values and trends.
• Design and conduct A/B tests and experiments to evaluate new features or strategies.
• Create dashboards and visualizations to communicate insights to stakeholders.
• Identify drivers in real estate data to inform product and business strategy.
• Collaborate with engineers, PMs, and analysts to translate insights into actions.
• Stay updated with advances in data science and real estate tech.
• Ensure data quality, integrity, and compliance with privacy regulations.
• Analyze Randburg and Gauteng market trends and opportunities.

Skills

Statistical modeling

Machine learning

Python

R

SQL

Data visualization

Analytical thinking

Communication

Education

Master's or PhD in a quantitative field

Tools

Scikit-learn

TensorFlow

PyTorch

Tableau

Power BI

Matplotlib

Spark

Hadoop

Job description

About the Role

Our client, a forward-thinking real estate technology company, is looking for a skilled and innovative Real Estate Data Scientist to join their dynamic team. This role is at the forefront of leveraging data to drive strategic decisions, predict market trends, and optimize property investments. You will be responsible for collecting, cleaning, analyzing, and interpreting large datasets related to property markets, consumer behavior, and economic indicators. The ideal candidate will have a strong background in data science, machine learning, statistical modeling, and a passion for applying these skills to the real estate industry. This is a fully remote position, allowing you to contribute your expertise to our client's cutting-edge projects from anywhere, with a focus on refining insights for the Randburg market and beyond.

Key Responsibilities

• Collect, process, and manage large, complex datasets related to real estate markets, transactions, and demographics.
• Develop and implement statistical models and machine learning algorithms to forecast property values, market trends, and investment performance.
• Design and conduct A/B tests and other experiments to evaluate the effectiveness of new features or strategies.
• Create compelling data visualizations and dashboards to communicate insights to stakeholders across various departments.
• Identify key drivers and patterns in real estate data to inform product development and business strategy.
• Collaborate with engineers, product managers, and business analysts to translate data insights into actionable recommendations.
• Stay up-to-date with the latest advancements in data science, machine learning, and real estate technology.
• Ensure data quality, integrity, and compliance with privacy regulations.
• Analyze the Randburg and broader Gauteng property markets for specific trends and opportunities.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Minimum of 5 years of experience in data science, with a focus on statistical modeling and machine learning.
• Proficiency in programming languages such as Python or R and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong SQL skills for data extraction and manipulation.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication skills to explain complex technical concepts to non-technical audiences.
• Experience in the real estate industry or with real estate data is highly desirable.
• Must be a self-starter, highly motivated, and capable of working effectively in a remote, collaborative environment.

Benefits

• Competitive salary and equity options.
• Fully remote work flexibility.
• Opportunity to work on challenging and impactful data science problems in the real estate sector.
• Access to cutting-edge technology and extensive datasets.
• Continuous learning and professional development opportunities.
• Collaborative and innovative company culture.