Senior Data Scientist (Hybrid)

Senior Data Scientist (Hybrid) – Tel Aviv

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 Senior Data Scientist to join the Enterprise Data Science Group - an outstanding data scientist who thrives on tackling complex problems that don’t work out-of-the-box with vibe coding, coding solutions end-to-end, and shaping how machine learning and AI 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 and grow your leadership 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.
• Grow your skill set in predictive modeling, modern AI and DS approaches, workflow automation, combining use of unstructured and structured data, and more.
  
  

• 3+ years of industry experience
• Significant hands-on experience with ML and the GenAI stack
• Deep knowledge of the machine learning cycle (EDA, feature engineering, modeling, evaluation, etc.)
• Strong coding skills in Python and SQL
• Experience with data and ml frameworks. Examples include sklearn, plotting libraries, spark, etc.
• Experience with AI/ML in cloud production environments (AWS, GCP, Databricks, Azure, etc.)
• Excited to work as a team member with data scientists and engineers
• BSc degree (MSc advantage) in computer science, mathematics, or other STEM fields