Director, Data Science
Material
PythonSQL
Data Scientist
CompStak
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • 🇺🇸 United States
Visit company websiteSalary
💰 $120,000 - $160,000 per year
Job Level
Mid-LevelSenior
Tech Stack
PythonPyTorchScikit-LearnTensorflow
About the role
- Leverage advanced statistical modeling to analyze and predict commercial real estate analytics and market trends.
- Apply modern ML/AI techniques (XGBoost, embeddings, LLMs, etc.) to extract insights, and power CompStak’s next-generation data products.
- Build scalable pipelines that integrate structured CRE datasets with structured and unstructured sources, improving ingestion, enrichment, and automation.
- Collaborate across engineering, product, and data teams to bring innovative, data-driven solutions to life. Bridge data and domain expertise by bringing real estate/finance context into models, ensuring accuracy, interpretability, and business relevance.
Requirements
- 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.
- Bonus: Hands-on experience with LLMs, embeddings, or NLP frameworks (e.g., Hugging Face, LangChain).
- Bonus: Experience working with commercial real estate investment firms or within the PropTech industry.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
statistical modelingmachine learningXGBoostembeddingsLLMsPythonscikit-learnPyTorchTensorFlowdata pipelines
Soft skills
organizational skillscommunication skillsstakeholder management
