Remote Real Estate Data Scientist

Placements24; Mossel Bay; Hybrid; ZAR 900,000 - 1,350,000; Full time

Benefits offered by this job

Fully remote work

Professional development budget

Laptop provided

Home office setup allowance

Paid time off

Job summary

Placements24 is seeking a highly analytical Remote Real Estate Data Scientist to leverage large datasets for property valuation, market trends, and investment analysis. This role is fully remote within South Africa, focusing on Mossel Bay and Western Cape markets.

You will build predictive models, analyze data, and translate insights into strategic actions for a distributed team of engineers and product managers.

Qualifications

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Minimum of 5 years of experience as a Data Scientist with a focus on predictive modeling and machine learning.
• Proficiency in Python or R and libraries such as scikit-learn, TensorFlow, PyTorch, Pandas and NumPy.
• Strong SQL skills and experience with large databases.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is a plus.
• Ability to translate complex business problems into data science solutions and present findings effectively.
• Experience working in a remote, cross-functional team is highly valued.
• Understanding of real estate market dynamics is desirable.

Responsibilities

• Develop, test, and deploy ML models for property valuation and market forecasting.
• Analyze large datasets to identify trends and correlations in real estate.
• Design and conduct A/B tests to evaluate new features and strategies.
• Build and maintain data pipelines and ETL processes for real estate data.
• Create data visualizations and dashboards for technical and non-technical stakeholders.
• Collaborate with product and engineering teams to integrate data science solutions.
• Stay updated with latest data science advancements and real estate applications.
• Mentor junior data scientists and contribute to data science strategy.

Skills

Machine learning

Statistical modeling

Data visualization

Independent work

Remote collaboration

Education

Master's or Ph.D. in quantitative field

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

SQL

AWS

Azure

GCP

Spark

Hadoop

Job description

About the Role

Our client, a forward-thinking real estate technology firm, is seeking a highly analytical and skilled Remote Real Estate Data Scientist . This role is entirely remote, focusing on leveraging vast datasets to extract insights, build predictive models, and drive strategic decisions within the real estate market. You will work on complex problems related to property valuation, market trends, investment performance, and customer behavior. The ideal candidate possesses a strong foundation in statistical modeling, machine learning, and data visualization, coupled with a genuine interest in the real estate sector. You will collaborate with a distributed team of engineers, product managers, and business analysts to translate data-driven insights into actionable strategies. This is an exceptional opportunity to apply advanced data science techniques to a dynamic industry from anywhere within South Africa, with a focus on markets like Mossel Bay, Western Cape, ZA . If you are passionate about data and its power to transform real estate, this role is for you.

Key Responsibilities

• Develop, test, and deploy machine learning models for property valuation, price prediction, and market forecasting.
• Analyze large, complex datasets to identify trends, patterns, and correlations in the real estate market.
• Design and conduct A/B tests and other experiments to evaluate the impact of new features and strategies.
• Build and maintain robust data pipelines and ETL processes for real estate data.
• Create compelling data visualizations and dashboards to communicate insights to technical and non-technical stakeholders.
• Collaborate with product and engineering teams to integrate data science solutions into the client's platform.
• Stay up-to-date with the latest advancements in data science, machine learning, and their applications in real estate.
• Mentor junior data scientists and contribute to the overall data science strategy.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Minimum of 5 years of experience as a Data Scientist, with a significant focus on predictive modeling and machine learning.
• Proficiency in programming languages such as Python or R, and expertise in libraries like scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy.
• Strong SQL skills and experience working with large databases.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is a plus.
• Demonstrated ability to translate complex business problems into data science solutions.
• Excellent communication and visualization skills to present findings effectively.
• Proven ability to work independently and as part of a remote, cross-functional team.
• A strong understanding of real estate market dynamics and data is highly desirable.

Benefits

• Highly competitive salary and bonus structure.
• Fully remote work environment, allowing for unparalleled flexibility.
• Opportunity to work on challenging and impactful real estate data problems.
• Exposure to cutting-edge data science technologies and methodologies.
• Generous professional development budget for conferences, courses, and certifications.
• Collaborative and innovative team culture fostered through virtual communication tools.
• Company-provided laptop and home office setup allowance.
• Paid time off and holiday leave.