We are seeking a seasoned Senior Data Scientist with a strong background in real estate data analytics. The ideal candidate will have a proven track record of sourcing and analyzing specialized datasets—such as divorce records, bankruptcy filings, probate cases, tax liens, and pre-foreclosures—to identify motivated sellers. Your expertise will drive the development of predictive models and lead scoring systems that enhance our clients’ acquisition strategies.

Key Responsibilities

Source, extract, and analyze specialized real estate datasets, including but not limited to:

Divorce records

Bankruptcy filings

Probate cases

Tax liens and pre-foreclosures

Develop and maintain ETL pipelines to process and manage data from multiple sources.
Design and implement predictive models and lead scoring algorithms to identify high-potential sellers.
Collaborate with cross-functional teams to integrate data insights into marketing and sales strategies.
Stay abreast of industry trends and emerging data sources to continuously improve lead generation efforts.
Ensure data accuracy, completeness, and compliance with relevant regulations.
Mentor junior data analysts and contribute to the growth of the data science team.

Qualifications

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
4+ years of experience in real estate data analytics, with a focus on identifying motivated sellers.
Proficiency in data analysis tools and programming languages such as Python, SQL, and Pandas.
Experience with data platforms and lead generation tools (e.g., PropStream, BatchLeads).
Strong understanding of ETL processes, public record APIs, and web scraping techniques.
Demonstrated ability to develop predictive models and lead scoring systems.
Excellent communication skills and a collaborative mindset.

Preferred Qualifications