Remote Senior Real Estate Data Scientist

Placements24; East London; Hybrid; ZAR 2,030,000 - 3,046,000; Full time

Benefits offered by this job

Stock options

Private health insurance

Retirement plan

Professional development budgets

Job summary

Placements24 is seeking a Remote Senior Real Estate Data Scientist to join a pioneering PropTech team. You will leverage advanced analytics, ML, and statistical modeling to extract actionable insights from vast real estate datasets and develop predictive models for market trends, valuations, and investment risk.

The role requires a strong background in data science, real estate principles, and the ability to translate complex findings into business recommendations.

Qualifications

• Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, Economics, or related field.
• Minimum of 5 years of professional experience in data science with ML and statistical modeling.
• Experience applying data science to real estate data is highly desirable.
• Proficiency in Python or R and libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Strong SQL and database management skills.

Responsibilities

• Design, develop, and implement ML models for real estate market prediction, valuation, and risk analysis.
• Source, clean, and preprocess large, complex real estate datasets from various sources.
• Perform exploratory data analysis to identify patterns and insights.
• Develop and maintain data pipelines and MLOps infrastructure for deployment and monitoring.
• Collaborate with product managers, engineers, and stakeholders to define requirements.
• Communicate complex findings clearly to technical and non-technical audiences.
• Stay updated on ML/AI advancements in real estate contexts.
• Mentor junior data scientists and contribute to the team’s technical expertise.
• Contribute to the strategic direction of the company’s data initiatives.

Skills

Machine learning

Statistical modeling

Data analysis

Python

SQL

Communication

Remote work

Education

Master's or PhD in Data Science or related quantitative field

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Job description

About the Role

Our client, a pioneering PropTech company, is seeking an exceptional Remote Senior Real Estate Data Scientist to join their innovative and fully remote global team. This critical role will leverage advanced data analytics, machine learning, and statistical modeling techniques to extract actionable insights from vast real estate datasets. The Senior Data Scientist will be instrumental in developing predictive models for market trends, property valuations, investment risk assessment, and optimizing portfolio performance. Responsibilities include data acquisition, cleaning, feature engineering, model development, validation, and deployment. The ideal candidate will possess a strong background in data science, a deep understanding of real estate principles, and the ability to translate complex findings into clear, business-oriented recommendations. This is an exciting opportunity to shape the future of real estate investment through cutting-edge data science, with the flexibility of working from anywhere.

Key Responsibilities

• Design, develop, and implement machine learning models and algorithms for real estate market prediction, valuation, and risk analysis.
• Source, clean, and preprocess large, complex real estate datasets from various sources.
• Perform exploratory data analysis to identify patterns, trends, and correlations.
• Develop and maintain data pipelines and MLOps infrastructure for model deployment and monitoring.
• Collaborate closely with product managers, engineers, and business stakeholders to define project requirements and deliver data-driven solutions.
• Communicate complex analytical findings and model results effectively to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence in the context of real estate.
• Mentor junior data scientists and contribute to the team's technical expertise.
• Contribute to the strategic direction of the company's data initiatives.

Requirements

• A Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Minimum of 5 years of professional experience in data science, with a focus on machine learning and statistical modeling.
• Proven experience applying data science techniques to real estate data is highly desirable.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL and database management.
• Solid understanding of machine learning algorithms, model evaluation techniques, and best practices.
• Excellent problem-solving skills and the ability to work independently in a remote setting.
• Strong communication and collaboration skills, with the ability to articulate technical concepts clearly.

Benefits

Our client offers a highly competitive salary, significant stock options, and a comprehensive suite of benefits including premium private health insurance, a generous retirement plan, and substantial professional development budgets. This position is fully remote, offering unparalleled flexibility and the opportunity to work with a world-class team on challenging problems that are transforming the real estate industry.