Staff Data Scientist (Hybrid)

About Us

JLL (NYSE: JLL) is Fortune 500 leader in commercial real estate, operating in dozens of countries, with annual revenue of tens of billions of dollars. Within JLL, we are part of JLL Technologies, the strategic business unit dedicated to leveraging cutting-edge technology to enhance the value and liquidity of the world's built environment.

The Tel Aviv technology hub leads enterprise-scale AI, data science, ML and research initiatives that directly impact JLL’s multi-billion-dollar business. Our teams design, build, and operate production-grade AI systems that sit at the core of how decisions are made across the company.

The position

We are looking for a Staff Data Scientist to join the Enterprise Data Science Group - an exceptional data scientist who thrives on tackling complex problems, owning solutions end-to-end, leading projects, and leveraging ML and GenAI to drive business value at scale.

We embrace a flexible hybrid work from our newly renovated Tel Aviv headquarters and prioritize employee well-being through team breakfast gatherings, an on-site gym, and private health insurance.

Highlights:

• Work on a diverse set of projects that create real-world impact. One of the truly unique aspects of our domain is the diversity of data, ML, and AI challenges we work on.
• Collaborate with amazing talent, participating in and leading projects such as agentic workflows and LLMs pipelines, RAG systems, classical ML, recommender systems, entity resolution, and more.
• Opportunity to regularly present your work while continuously growing your leadership and communication skills.
• Explore new technologies and tools to incorporate in our evolving tech stack.
• We are a medium-size team (approx. 20 people) where people have great relationships, working collectively and with colleagues abroad to impact a multi-billion dollar business.
• Opportunity to be part of a strong, fun, and collaborative team culture.
  
  

• 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 more.
• Ensure reliable model deployment and continuous monitoring, seeing most of your projects go beyond the research phase and into production.
• Collaborate closely with talented colleagues including DSs, engineers, and product.
• Communicate findings, propose new solutions, and explore new opportunities to facilitate impact and help us grow.
  
  

• 6+ years of industry experience
• A track record of delivering ML/AI projects and communicating their value.
• Strong hands-on experience with the full machine learning cycle (data processing, error analysis, feature engineering, modeling, evaluation, etc.)
• Hands-on experience with LLMs, RAG systems, and agentic AI architectures
• Great coding skills (Python, SQL, and engineering design practices)
• Experience deploying production-level code in the cloud (AWS, Azure, GCP, Databricks, etc.)
• An entrepreneurial mentality; excited to work with product and business teams to identify new opportunities and lead their development end-to-end.
• Excellent communication skills in English.
• An MSc degree (PhD advantage) in computer science, mathematics, or another STEM field