CompStak® · 1 month ago
Applied Data Scientist - Real Estate
CompStak is a pioneer in crowdsourced commercial real estate data and analytics. They are seeking an Applied Data Scientist - Real Estate to leverage advanced statistical modeling and modern ML/AI techniques to deliver insights across the CRE industry.
Big DataCommercial Real EstatePropTechReal Estate
Responsibilities
Apply statistical and machine learning methods to identify patterns, forecast trends, and generate actionable insights in CRE markets
Develop, improve, and automate large-scale data ingestion and transformation pipelines for commercial real estate datasets
Validate, clean, and reconcile data from diverse sources to maintain accuracy and reliability
Translate complex analyses into clear, actionable recommendations for both technical and non-technical stakeholders
Keep up to date with the latest advancements in CRE industry dynamics, data science, and ML frameworks
Qualification
Required
3+ years of experience in an economics-focused role (e.g., corporate position in technology, finance, commerce, or market analysis)
Strong understanding of economics, demonstrated through professional or academic experience
Proficiency in Python and key ML libraries (scikit-learn, XGBoost, PyTorch/TensorFlow)
Excellent organizational, communication, and stakeholder management skills
Preferred
Hands-on experience with LLMs, embeddings, or NLP frameworks (e.g., Hugging Face, LangChain)
Experience working with commercial real estate investment firms or within the PropTech industry
Company
CompStak®
We believe that transparency in real estate information results in more effective deal making.
H1B Sponsorship
CompStak® has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (4)
2022 (1)
Funding
Current Stage
Growth StageTotal Funding
$80.92MKey Investors
Morgan Stanley Expansion CapitalTransamerica VenturesIA Capital Group
2021-11-11Series C· $50M
2019-07-25Series B· $2M
2019-05-15Series B· $12M
Recent News
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