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מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
JLL supports the Whole You, personally and professionally.
Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work. Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.
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.
On a typical day, you will:
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.
We are looking for:
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
If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements below. We’re interested in getting to know you and what you bring to the table!
Personalized benefits that support personal well-being and growth:
JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health.
About JLL –
We’re JLL—a leading professional services and investment management firm specializing in real estate. We have operations in over 80 countries and a workforce of over 102,000 individuals around the world who help real estate owners, occupiers and investors achieve their business ambitions. As a global Fortune 500 company, we also have an inherent responsibility to drive sustainability and corporate social responsibility. That’s why we’re committed to our purpose to shape the future of real estate for a better world. We’re using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people, and our communities.
Our core values of teamwork, ethics and excellence are also fundamental to everything we do and we’re honored to be recognized with awards for our success by organizations both globally and locally.
Creating a diverse and inclusive culture where we all feel welcomed, valued and empowered to achieve our full potential is important to who we are today and where we’re headed in the future. And we know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and succeed together.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
שאלות ותשובות עבור משרת Senior Data Scientist (Hybrid)
התפקיד של Senior Data Scientist ב-JLL Technologies בתל אביב כולל עבודה על מחזור החיים המלא של למידת מכונה ו-GenAI, החל מעיבוד נתונים וניתוח אקספלורטורי, דרך יצירת בנצ'מרקים, הנדסת פיצ'רים, מודלים ו-fine-tuning של LLMs וסוכנים מגוונים, ועד הערכה. כמו כן, התפקיד דורש הבטחת פריסה אמינה וניטור רציף של מודלים, תוך שיתוף פעולה הדוק עם מדעני נתונים, מהנדסים ואנשי מוצר.
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