Real Estate Data Scientist

Placements24; Sandton; On-site; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Medical aid

Retirement fund

Paid time off

Job summary

Placements24 is seeking a Real Estate Data Scientist in Sandton, Gauteng. You will design and deploy machine learning models to tackle pricing, market forecasting, and customer segmentation, while handling diverse datasets and building robust data pipelines.

The role requires a strong quantitative background (Masters/PhD) and 5+ years of data science experience, with proficiency in Python or R, SQL, and visualization tools. Real estate data experience is a plus.

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• Minimum of 5 years of experience in data science or a related analytical role.
• Proven expertise in statistical modeling, machine learning algorithms, and data mining techniques.
• Proficiency in Python or R with data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with SQL and large datasets.
• Strong data visualization skills (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving and communication skills.
• Experience in real estate data is highly desirable.

Responsibilities

• Design, develop, and deploy ML models for real estate problems (pricing, forecasting, segmentation).
• Collect, clean, and preprocess large datasets.
• Perform exploratory data analysis to identify trends and opportunities.
• Develop data pipelines and analytical workflows.
• Create data visualizations and communicate findings to technical and non-technical audiences.
• Collaborate with engineers, product managers, and stakeholders to define data science initiatives.
• Stay current with ML/AI advancements.
• Contribute to knowledge base and best practices.

Skills

Data science

Statistical modeling

Machine learning

Data visualization

Communication

Education

Master's or PhD in quantitative field

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

SQL

Tableau

AWS/Azure/GCP

Job description

About the Role

Our client, a cutting-edge technology firm focused on transforming the real estate industry, is seeking a highly analytical and innovative Real Estate Data Scientist to join their team in the bustling hub of Sandton, Gauteng . This role is crucial for leveraging advanced statistical and machine learning techniques to extract actionable insights from complex datasets, driving product development and business strategy. You will be responsible for developing predictive models, optimizing algorithms, and communicating findings to diverse stakeholders. The ideal candidate possesses a strong academic background in a quantitative field, extensive experience in data science, and a specific interest in the real estate market. This position offers a unique opportunity to influence the future of real estate through data-driven innovation in Gauteng 's premier business district.

Key Responsibilities

• Design, develop, and deploy machine learning models to solve complex real estate problems (e.g., pricing prediction, market forecasting, customer segmentation).
• Collect, clean, and preprocess large and diverse datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and opportunities.
• Develop and implement data pipelines and analytical workflows.
• Create compelling data visualizations and communicate complex findings to technical and non-technical audiences.
• Collaborate with engineers, product managers, and business stakeholders to define data science initiatives.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Contribute to the firm's knowledge base and best practices in data science.
• Evaluate and benchmark the performance of deployed models and algorithms.
• Apply data science methodologies to optimize real estate operations and customer experiences.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• Minimum of 5 years of experience in data science or a related analytical role.
• Proven expertise in statistical modeling, machine learning algorithms, and data mining techniques.
• Proficiency in programming languages such as Python or R, including relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with SQL and working with large datasets.
• Strong data visualization skills (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving abilities and a critical thinking mindset.
• Strong communication and interpersonal skills, with the ability to explain technical concepts clearly.
• Experience in the real estate sector or with real estate data is highly desirable.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus.

Benefits

• Our client offers a highly competitive salary, commensurate with qualifications and experience, along with significant performance-based bonuses.
• This role provides exceptional opportunities for professional growth and the chance to work with state-of-the-art technologies and complex datasets.
• You will be part of a forward-thinking and innovative team in the heart of Sandton .
• Our client also provides a comprehensive benefits package, including medical aid, a retirement fund, and generous paid time off.
• This position allows you to make a substantial impact on the evolution of real estate through advanced data science in the dynamic Gauteng market.