Remote Real Estate Data Scientist

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 1,996,000 - 2,994,000; Full time

Benefits offered by this job

Equity options

Performance bonuses

Comprehensive health insurance (global

Retirement plan

Career development

Job summary

Placements24 is seeking a Remote Real Estate Data Scientist to join our analytics team. You will develop ML models for market forecasting, pricing, and risk assessment, and transform large real estate datasets into actionable insights.

The role requires 5+ years of experience, expertise in Python or R, SQL, and visualization tools. You will mentor junior data scientists and contribute to data pipelines while enjoying a fully remote, globally distributed team environment.

Qualifications

• Master's or PhD in Data Science, Statistics, Computer Science, Economics, or related quantitative field.
• Minimum 5 years of professional experience as a Data Scientist with real estate or financial domain exposure.
• Proficiency in Python or R with libraries such as scikit-learn, TensorFlow, PyTorch, pandas, NumPy.
• Strong SQL skills and experience with large databases and data warehousing.
• Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).
• Solid understanding of statistical modeling, ML algorithms, and experimental design.
• Excellent problem-solving and communication skills for explaining complex concepts.
• Self-starter, highly motivated, and able to work remotely.

Responsibilities

• Develop, implement, and deploy ML models for real estate market forecasting and pricing.
• Analyze large real estate datasets to extract actionable insights.
• Design and run A/B tests to evaluate new features and strategies.
• Create dashboards and visualizations for stakeholders.
• Collaborate with product, engineering, and business teams to translate needs into analytics.
• Build and maintain robust data pipelines and ensure data quality.
• Stay updated with advances in data science and real estate analytics.
• Mentor junior data scientists and contribute to team capability development.
• Automate reporting and develop data-driven tools to enhance operations.

Skills

Python

R

scikit-learn

TensorFlow

Pandas/NumPy

Education

Master's or PhD in Data Science, Statistics, Computer Science, Economics or related quantitative field

Tools

Tableau

Power BI

SQL

PyTorch

BigQuery

Job description

About the Role

Our client, a forward-thinking real estate technology firm, is seeking an exceptional Remote Real Estate Data Scientist to join their expanding analytics team. This role is fully remote, allowing you to contribute your expertise from anywhere. You will be instrumental in leveraging vast datasets to uncover insights, develop predictive models, and drive data-informed decision-making across all facets of the real estate business, from market analysis and property valuation to investment strategy and customer behavior. The ideal candidate possesses a strong blend of statistical modeling, machine learning, and a deep understanding of the real estate domain. We are committed to building a diverse, globally distributed team and offering cutting-edge tools and a collaborative environment for our remote employees.

Key Responsibilities

• Develop, implement, and deploy machine learning models for real estate market forecasting, property price prediction, and risk assessment.
• Analyze large and complex real estate datasets (e.g., transactional data, market trends, demographic information, property characteristics) to identify actionable insights and patterns.
• Design and conduct A/B tests and other experiments to evaluate the impact of new features or strategies.
• Create compelling data visualizations and dashboards to communicate findings and recommendations to both technical and non-technical stakeholders.
• Collaborate closely with product managers, engineers, and business stakeholders to understand their data needs and translate them into analytical solutions.
• Build and maintain robust data pipelines and ensure data quality and integrity for analytical purposes.
• Stay current with the latest advancements in data science, machine learning, and real estate analytics.
• Mentor junior data scientists and contribute to the development of the team's analytical capabilities.
• Automate reporting processes and develop data-driven tools to enhance business operations.

Requirements

• Master's or PhD degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
• Minimum of 5 years of professional experience as a Data Scientist, with a significant portion focused on applying data science techniques to real estate or a related financial industry.
• Proficiency in programming languages such as Python or R, and extensive experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Strong knowledge of SQL and experience working with large databases and data warehousing solutions.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Solid understanding of statistical modeling, machine learning algorithms, and experimental design.
• Excellent problem-solving skills and the ability to approach complex challenges with a data-driven mindset.
• Exceptional communication and presentation skills, with the ability to explain technical concepts clearly.
• Must be a self-starter, highly motivated, and capable of working independently in a remote environment.

Benefits

• This fully remote position offers a highly competitive salary, performance-based bonuses, and equity options.
• Our client provides a comprehensive benefits package, including premium health, dental, and vision insurance, generous paid time off, and a retirement savings plan with company matching.
• Access to the latest technology, continuous learning opportunities, and a supportive global team culture are integral to this role.
• The flexibility of working remotely allows for an unparalleled work-life balance while contributing to the innovation of the real estate tech industry.