Senior Data Scientist (Hybrid)
Core
Design, build, and operate production-grade AI systems and machine learning pipelines to enhance the value and liquidity of the built environment.
Role type
Senior IC data scientist (GenAI/ML)
Builds
Production-grade AI systems, agentic workflows, LLM pipelines, RAG systems, and classical ML models for commercial real estate.
Domain
Commercial real estate technology and enterprise AI
Deliverable
production ML models
Required skills
Python, SQL, machine learning lifecycle (EDA, feature engineering, modeling, evaluation), GenAI stack, cloud production environments (AWS, GCP, Databricks, Azure), data and ML frameworks (sklearn, Spark)
Preferred skills
MSc in computer science, mathematics, or STEM fields
Technologies
Python, SQL, sklearn, Spark, AWS, GCP, Databricks, Azure
Responsibilities
Work on the full ML and GenAI lifecycle including data processing, exploratory data analysis, benchmark creation, feature engineering, diverse LLMs and agents, modeling/fine-tuning, evaluation, and deployment; Ensure reliable model deployment and continuous monitoring; Collaborate closely with data scientists, engineers, and product teams.
Seniority
Senior, hands-on IC