Senior Data Scientist

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💎 Seniority level: Senior, 4+ years

📍 Location: United States

🔍 Industry: Real Estate

🏢 Company: Property Leads👥 11-50 Real Estate

⏳ Experience: 4+ years

🪄 Skills: PythonSQLData AnalysisData MiningETLMachine LearningData sciencePandasRESTful APIsData visualizationLead GenerationData modeling

Requirements:

4+ years of experience working with real estate data, particularly niche data sets (divorce, bankruptcy, probate, etc.).
Proficiency in data analysis and engineering tools (e.g., SQL, Python, Pandas, Excel).
Experience with data platforms and lead generation tools (e.g., PropStream, BatchLeads).
Experience developing scoring models, predictive features, or data-driven segmentation.
Strong understanding of ETL pipelines, public record APIs, and/or scraping strategies
Proven ability to source and curate high-quality leads.
Meticulous attention to detail and a passion for clean, actionable data
Excellent communication skills and a collaborative, fast-moving mindset.

Responsibilities:

Source and analyze specialized real estate data sets, including: Divorce records Bankruptcy filings Probate cases Tax liens, pre-foreclosures, and other distressed property indicators
Develop and maintain efficient processes for extracting, cleansing, and managing data from multiple sources.
Identify patterns and insights in data to improve lead targeting and conversion rates.
Collaborate with the marketing and sales teams to create actionable lead lists and improve outreach strategies.
Stay current with trends and tools in real estate data sourcing and analysis.
Ensure data accuracy, completeness, and compliance with relevant regulations.
Provide input into data roadmap, tooling decisions, and long-term analytics strategy
Mentor junior analysts or data contributors (as team grows)

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