Remote Real Estate Data Scientist

Placements24; Bloemfontein; Hybrid; ZAR 1,482,000 - 2,305,000; Full time

Benefits offered by this job

Competitive salary

Remote-first culture

Health insurance

Paid time off

Retirement plan with company match

Online learning access

Virtual team-building

Job summary

Placements24 is seeking a Remote Real Estate Data Scientist to join a globally distributed team. You will build predictive models, process large real estate datasets, and derive insights to drive investment decisions.

The role requires 5+ years in data science with ML, strong Python/R skills, and SQL; collaboration across product, engineering, and business teams is essential in a remote, distributed setup.

Qualifications

• Master's or PhD in Data Science, Statistics, CS, Mathematics, Economics or related field.
• Minimum 5 years of professional experience as a Data Scientist with real estate or financial data.
• Proven expertise in statistical modeling and ML algorithms; strong experimental design.
• Proficiency in Python or R and libraries like Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch.
• Strong SQL skills and experience with large databases; data visualization proficiency.

Responsibilities

• Develop and deploy advanced statistical and ML models to forecast market trends and property values.
• Ingest, clean, and harmonize large multi-source datasets for analytics.
• Identify patterns and insights to inform investment strategies and risk assessment.
• Design and run A/B tests to evaluate new features or strategies.
• Collaborate with product, engineering, and business teams to translate data needs into solutions.
• Communicate complex findings clearly via visualizations and reports for diverse audiences.
• Keep current with advances in data science and proptech; contribute to data infrastructure.
• Proactively identify data opportunities to gain competitive business advantages.

Skills

Python

R

SQL

Data Visualization

Remote Collaboration

Project Management

Education

Master's or PhD in Data Science

Statistics or related quantitative field

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Job description

About the Role

Our client, a leading innovator in proptech, is seeking a highly skilled Remote Real Estate Data Scientist to join their globally distributed team. This fully remote position is pivotal in leveraging vast datasets to drive strategic decisions, optimize property portfolios, and identify emerging market trends. The ideal candidate will possess a strong background in data science, machine learning, and a deep understanding of the real estate industry. You will work with complex datasets to build predictive models, derive actionable insights, and contribute to cutting-edge data-driven solutions. This role is designed for an independent, proactive individual who thrives in a remote-first environment and can effectively collaborate with virtual teams. We are looking for someone to make a tangible impact on how real estate is analyzed and transacted, from anywhere in the world.

Key Responsibilities

• Developing and implementing advanced statistical and machine learning models to analyze real estate data, forecast market trends, and predict property values.
• Collecting, cleaning, and processing large, complex datasets from various sources, ensuring data integrity and accuracy.
• Identifying patterns, correlations, and actionable insights within real estate data to inform investment strategies, risk assessment, and market positioning.
• Designing and conducting A/B tests and other experiments to evaluate the impact of new features or strategies.
• Collaborating closely with product managers, engineers, and business stakeholders to understand data needs and translate them into analytical solutions.
• Communicating complex findings and recommendations clearly and concisely to both technical and non-technical audiences through visualizations and reports.
• Staying abreast of the latest advancements in data science, machine learning, and real estate technology.
• Contributing to the development and maintenance of data infrastructure and analytics platforms.
• Proactively identifying opportunities to leverage data for business advantage within the real estate domain.

Requirements

• Master's or PhD degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Minimum of 5 years of professional experience as a Data Scientist, with a focus on real estate or financial markets data.
• Proven expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Strong SQL skills and experience working with large databases.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Excellent analytical, problem-solving, and critical thinking abilities.
• Exceptional communication and collaboration skills, with the ability to work effectively in a remote, distributed team environment.
• Demonstrated ability to manage projects independently and deliver high-quality results.

Benefits

• Our client offers a highly competitive salary and performance-based bonuses.
• As a fully remote position, it provides unparalleled flexibility.
• Employees benefit from a comprehensive health insurance plan, generous paid time off, and a retirement savings plan with company matching.
• Our client invests in professional growth through access to online learning platforms, virtual conferences, and opportunities to work on challenging, innovative projects.
• The company fosters a strong remote work culture with regular virtual team-building activities and a focus on employee well-being and autonomy.
• This is a unique chance to be at the forefront of data-driven real estate innovation, working from anywhere.