Remote Real Estate Data Scientist

Placements24; Richards Bay; Remote; ZAR 1,500,000 - 2,501,000; Full time

Benefits offered by this job

Competitive salary

Stock options

Annual bonus

Remote work flexibility

Private health insurance

Retirement savings plan

Home office stipend

Job summary

Placements24 invites applications for a Remote Real Estate Data Scientist to derive insights from vast real estate datasets and develop predictive models. The role emphasizes building data pipelines, experimental design, and translating analytics into strategic decisions.

Ideal candidates have 5+ years of experience, strong Python/R skills, and a passion for real estate tech. This fully remote position offers flexible scheduling and a competitive compensation package.

Qualifications

• Master's or Ph.D. in Data Science or related quantitative field.
• Minimum of 5 years of professional experience as a Data Scientist with predictive modeling and ML.
• Experience in real estate data preferred.
• Proficiency in Python or R and libraries (scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• SQL proficiency; big data tech experience (Spark, Hadoop).
• Strong statistics, experimental design, and A/B testing understanding.
• Excellent data visualization and communication skills; remote collaboration ability.

Responsibilities

• Develop and maintain advanced statistical models and ML algorithms for real estate data.
• Extract, clean, and transform large datasets for analysis.
• Design experiments to test hypotheses and validate model performance.
• Build and optimize data pipelines for real-time processing and reporting.
• Visualize results and communicate insights to technical and non-technical stakeholders.
• Collaborate with product, engineering, and analytics teams to address business questions.
• Stay updated on advances in data science and real estate tech.
• Contribute to data strategy and best practices within the organization.
• Identify opportunities to improve existing models and analytics approaches.
• Ensure data quality, accuracy, and privacy compliance.

Skills

Statistical modeling

Machine learning

Data preprocessing

Python

R

SQL

Data visualization

Remote collaboration

Education

Master's or PhD in Data Science/Statistics/CS/Mathematics/Economics

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

SQL

Spark

Hadoop

Job description

About the Role

Our client, a forward-thinking real estate technology company, is seeking an exceptional Remote Real Estate Data Scientist to join their innovative team. This fully remote position allows you to leverage your advanced analytical and machine learning skills to derive actionable insights from vast datasets related to the property market. You will be responsible for developing predictive models, optimizing algorithms, and building data pipelines to support strategic decision-making in areas such as market forecasting, pricing strategies, and investment risk assessment. The ideal candidate thrives in a remote environment, possesses a deep understanding of statistical modeling and data mining techniques, and has a passion for applying these skills to the real estate sector. This role is crucial for driving data-informed innovation and maintaining our client's competitive edge in the market, all managed from a remote setup.

Key Responsibilities

• Develop, implement, and maintain advanced statistical models and machine learning algorithms to analyze real estate data.


• Extract, clean, and transform large, complex datasets from various sources to prepare them for analysis.


• Design and conduct experiments to test hypotheses and validate model performance.


• Build and optimize data pipelines for real-time data processing and reporting.


• Visualize data and communicate complex findings and insights to technical and non-technical stakeholders through compelling reports and presentations.


• Collaborate with product managers, engineers, and business analysts to identify key business questions and develop data-driven solutions.


• Stay abreast of the latest advancements in data science, machine learning, and real estate technology.


• Contribute to the development of data strategies and best practices within the organization.


• Identify opportunities to enhance existing models and develop new analytical approaches.


• Ensure data integrity, accuracy, and compliance with privacy regulations.

Requirements

• Master's or Ph.D. 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 strong focus on predictive modeling and machine learning.


• Proven experience in the real estate industry or with real estate-related data is highly preferred.


• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).


• Expertise in SQL and experience with big data technologies (e.g., Spark, Hadoop).


• Strong understanding of statistical concepts, experimental design, and A/B testing.


• Excellent data visualization skills (e.g., Matplotlib, Seaborn, Tableau).


• Ability to translate complex analytical results into actionable business insights.


• Strong communication and collaboration skills, comfortable working effectively in a fully remote team environment.


• Self-directed, proactive, and able to manage projects independently.

Benefits

• This position offers a highly competitive salary, stock options, and a generous annual bonus structure.


• As a remote employee, you will experience unparalleled flexibility and work-life balance.


• Our client provides a comprehensive benefits package including private health insurance, a retirement savings plan, and a stipend for home office setup and ongoing expenses.


• You will have access to state-of-the-art tools and platforms, opportunities for continuous learning through conferences and courses, and the chance to contribute significantly to the future of real estate technology from anywhere in South Africa.