Remote Real Estate Data Scientist

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

Benefits offered by this job

Fully remote position

Equity options

Health insurance

Professional development budget

Cutting-edge projects

Job summary

Placements24 is seeking a talented Remote Real Estate Data Scientist to join its innovative, fully remote team. You will leverage data analytics and machine learning to build predictive models for property values, market trends, and pricing strategies.

The role requires 5+ years of data science experience, strong Python/R skills, and a solid foundation in statistics. You will communicate insights to technical and non-technical stakeholders and work in a globally distributed environment.

Qualifications

• Master's or Ph.D. in Data Science, Statistics, Computer Science, or related field.
• 5+ years of experience as a Data Scientist with predictive modeling focus.
• Proficiency in Python or R and libraries like scikit-learn, TensorFlow, Pandas.
• Experience with SQL and NoSQL databases; strong communication for remote work.

Responsibilities

• Develop and implement machine learning models to predict property values, market trends, and investment potential.
• Analyze large, complex datasets related to real estate transactions, demographics, and economic indicators.
• Design and conduct A/B tests to evaluate pricing and marketing strategies.
• Collaborate with cross-functional teams to integrate data-driven insights into product development and business strategy.
• Create compelling data visualizations and reports to communicate findings to technical and non-technical stakeholders.
• Stay current with advancements in data science, machine learning, and their applications in real estate.

Skills

Python

R

Machine Learning

Statistical Analysis

SQL

NoSQL

Data Visualization

Remote Work

Education

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

Tools

scikit-learn

TensorFlow

Pandas

Job description

About the Role

Our client is seeking a talented and experienced Remote Real Estate Data Scientist to join their innovative, fully remote team. This role is pivotal in leveraging data analytics and machine learning to drive insights and strategic decisions within the real estate sector. You will work with large datasets related to property, market trends, and consumer behavior to build predictive models, optimize pricing strategies, and enhance client services. The ideal candidate thrives in a remote environment and possesses a strong blend of statistical, programming, and real estate domain knowledge.

Key Responsibilities

• Develop and implement machine learning models to predict property values, market trends, and investment potential.
• Analyze large, complex datasets related to real estate transactions, demographics, and economic indicators.
• Design and conduct A/B tests to evaluate the effectiveness of pricing and marketing strategies.
• Collaborate with cross-functional teams to integrate data-driven insights into product development and business strategy.
• Create compelling data visualizations and reports to communicate findings to technical and non-technical stakeholders.
• Stay current with advancements in data science, machine learning, and their applications in real estate.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
• 5+ years of experience as a Data Scientist , with a focus on predictive modeling and machine learning.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, Pandas).
• Experience with SQL and NoSQL databases, and data manipulation techniques.
• Strong understanding of statistical analysis, experimental design, and data mining.
• Excellent problem-solving skills and ability to communicate complex findings effectively in a remote setting.

Benefits

• Highly competitive salary and equity options.
• Fully remote position offering exceptional flexibility.
• Comprehensive benefits including health, dental, and life insurance.
• Generous budget for professional development and conferences.
• Opportunity to work on cutting-edge projects impacting the future of real estate.