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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Data Scientist.
The Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing:
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities
Requirements:
B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field
3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production.
Strong understanding and practical experience with various machine learning algorithms.
Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis
Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design
Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions
Proficiency in data visualization libraries, to create meaningful visual representations of complex data
Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders
Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment
Advantages:
Experience in the fraud domain
Experience with Airflow, CircleCI, PySpark, Docker and K8S
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are s looking for a Data Scientist to join our team.
The ideal candidate is a highly motivated and self-driven individual with strong analytical and problem-solving skills. The Data Scientist will be responsible for analyzing data and developing models to help inform decisions and strategies for new products and business initiatives.
Responsibilities:
Work closely with stakeholders to understand business requirements and develop predictive models to detect fraud.
Develop and implement statistical models, machine learning and deep learning algorithms to solve complex problems in a production environment.
Perform exploratory data analysis and data visualization to gain insights and communicate findings.
Collaborate with cross-functional teams, including data engineers and software developers, to design and implement end-to-end solutions that can be deployed in production.
Implement advanced analytics tools and technologies to enhance reporting capabilities.
Requirements:
Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
Minimum of 5 years of experience as a Data Scientist or in a related field, with experience working in a production environment or PHD with relevant experience
Strong programming skills in Python and proficiency in SQL.
Deep understanding of statistical analysis, machine learning, deep learning and data visualization techniques.
Strong communication and collaboration skills to work effectively in a team environment.
Skills in developing AI agents, such as LLM-based assistants or autonomous workflows - advantage
This position is open to all candidates.
 
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06/01/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are seeking an experienced and visionary Data Scientist to join our dynamic technology organization. The successful candidate will be a part of a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, and a passion for continuous learning and development.
Responsibilities:
Gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) are used to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs), to create innovative solutions for our products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization. Design, implement, and optimize classic machine learning models to solve complex business problems.
Requirements:
Bachelors or Masters degree in Computer Science, Mathematics, Statistics, Data Science, or related field; a PhD is an advantage.
5+ years of experience in data science roles.
Proven expertise in classic machine learning algorithms and techniques, including regression, classification, clustering, and feature engineering.
Extensive hands-on experience with gradient boosting frameworks such as XGBoost, LightGBM, and CatBoost.
Demonstrated success in designing, deploying, and scaling Generative AI applications (e.g., LLMs) in real-world scenarios.
Strong programming skills in Python and proficiency with data science libraries (scikit-learn, pandas, NumPy, TensorFlow, PyTorch).
Experience with cloud platforms (AWS, Azure) and MLOps tools for model deployment and monitoring in production.
Knowledge and experience in Databricks and Spark.
Ability to thrive in a fast-paced, collaborative, and innovative environment.
Experience in handling big data of billions of observations.
Preferred Skills:
Knowledge of data engineering and pipeline development.
Prior experience in fintech or the payments industry is a plus.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a data scientist, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support our business. Together with other Data Engineers and Product Managers, you will translate the voice of our customer into best-in-class digital insights.

Responsibilities:
Analyzing data from various sources and transforming it into actionable insights that directly drive business growth.
Building machine learning algorithms for bidding - using classification and clustering to optimize campaign performance.
Leveraging artificial intelligence (GenAI) techniques to query data for intelligent insights and automated decision-making processes, unlocking hidden value from data.
Leading tasks from exploration to proof of concept (POC) and ensuring smooth transitions to scalable production environments.
Collaborating with data engineers and product managers to ensure the delivery of high-quality production results.
Creating and owning key metrics while developing new models and capabilities for innovative product solutions.
Optimizing scalability and ensuring the performance of data pipelines and ML models, handling large-scale, dynamic datasets.
Requirements:
Requirements:
5+ years of experience in data science, machine learning, or a related field.
Profound expertise in Python, SQL, and experience working with cloud-based ML pipelines.
Solid background in time series forecasting, clustering, classification, and predictive modeling.
Experience is performance marketing / AdTech / campaign management.
Experience managing large-scale datasets, coupled with a deep understanding of data pipelines, feature engineering, and model optimization.
Strong analytical mindset combined with business acumen - ability to translate data into actionable insights for real-world impact.
Demonstrated ability to work independently, take ownership of initiatives, and spearhead strategic data science projects from conception to execution.
Familiarity with deep learning, reinforcement learning, or generative AI.
Hands-on experience with cloud platforms (AWS, GCP, Azure) for machine learning deployment.
Excellent communication skills, with the ability to work closely with cross-functional teams and convey complex ideas to non-technical stakeholders.

How you will stand out from the crowd:
AWS ecosystem (SageMaker, Glue, Athena, Redshift, EMR) and Spark - an advantage
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
our company- Crafting Tomorrow's Retail Experience
We started with a simple question: How can vision AI make shopping better for everyone? Today, our team of passionate experts is transforming how people shop and how retailers operate- one store at a time
Our goal is to solve real retail challenges by developing advanced computer vision AI that prevents loss, enables grab-and-go shopping, and turns store data into valuable insights-all while delivering clear value from day one.
With multiple deployments in stores globally, deep partnerships with top-tier retailers, and a product suite thats proving its impact every day, we are not just imagining the future of retail- we're building it.
At our company, were revolutionizing the way people shop with our cutting-edge AI-driven technology, enabling cashier-less stores and advanced theft prevention systems.
We are looking for an experienced, sharp-minded and detail-oriented Data Scientist to join our growing R&D department, and work with an amazing team towards combating retail shrink - that is, catching thieves!
In this role you will develop and implement machine learning models and data-driven algorithms, create methodologies, and employ advanced data analysis techniques to define KPIs, measure our companys performance, and uncover actionable insights that drive impactful research. Your work will focus on transforming vast amounts of data into meaningful predictions, building scalable ML solutions, and enabling tools that improve the effectiveness of our innovative systems.
If you have a passion for data science and advanced analysis of systems solving real-world problems, wed love to hear from you!
A day in the life
Employ accurate data analysis techniques to evaluate system performance and identify areas for improvement. Produce clear, actionable insights to guide innovation and improve product KPIs.
Design and implement algorithms to automate and optimize performance measurement and decision-making processes.
Develop, train, and deploy predictive models that enhance our companys core capabilities.
Continuously monitor, validate, and refine models in production to ensure accuracy and robustness.
Collaborate with algorithm researchers, product managers, and Operations to align model design with business and R&D goals.
Requirements:
B.Sc in Engineering or Exact Sciences (M.Sc. is an advantage).
At least 3 years of experience as a Data Scientist.
Strong proficiency in Python and SQL (preferably with BigQuery and PostgreSQL dialects), with experience in ML frameworks (e.g., scikit-learn).
Proven ability to handle complex datasets and perform feature engineering and data preprocessing.
Hands-on experience developing machine learning models (e.g., classification, regression, clustering) and deploying them in production.
Proven ability to summarize and visualize complex data, presenting insights in a clear, compelling manner.
Impeccable attention to detail, ensuring accuracy in data analysis and reporting.
A strong theoretical and practical foundation in statistics and data science methodologies.
A mission-oriented critical thinker with excellent problem-solving abilities.
A team player by nature with great communication skills and a can-do attitude.
This position is open to all candidates.
 
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לפני 1 שעות
Location: Tel Aviv-Yafo
Job Type: Full Time
gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within our company to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with our company and we remain a trusted partner.
The gTech Ads Data Science EMEA team helps measure and optimize marketing ROI for our companys largest clients. We build bespoke models that address clients key business issues.
In this role, you will be responsible for applying best data science practices to solve our ads customers problems in marketing. You will be passionate about bringing the best of our companys Machine Learning (ML) capabilities to build solutions that address our customer's problem-space. You will be responsible for executing on gTechs strategy and goal to deliver applied data science to our company's largest ads customers.
Responsibilities
Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with Machine Learning and statistics.
Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem; own the development of a modeling framework.
Engage important stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution, collaborate with Product/Engineering teams to increase and optimize capabilities of our data scientist (DS) team, employing methods which create opportunities for scale, proactively helping to drive innovation.
Work with customer and internal teams to translate data and model results into tactical and insights that are actionable for decision.
Develop comprehensive understanding of our company data structures, and metrics, advocating for product changes where needed.
Requirements:
Minimum qualifications:
Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
Experience in Machine Learning and Statistics.
Preferred qualifications:
Experience delivering insights from ML to customers (e.g., problem scoping/definition, modeling, people-management).
Experience using or deploying digital analytics and measurement solutions.
Experience in retail, financial services/retail banking, insurance, telecommunications, automotive and CPG.
Experience in Computer Vision and Natural Language Processing (NLP) in the context of marketing analytics and the ability to bring generative AI technologies to customer problems in marketing.
Experience leveraging data insights into storytelling for business stakeholders.
Understanding of the statistical algorithms typically used in Marketing Analytics.
This position is open to all candidates.
 
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01/02/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
The Data & Research department oversees all of our data-related requirements. Our ultimate goal is to enable and increase the use of data across the company through creative approaches and the implementation of powerful resources such as analytical databases, advanced data pipelines, BI tools, and data science technology.

We hire the brightest minds to take on this challenge and equip them with the tools and knowledge that contribute to their personal growth and success while supporting our companys culture of diversity, experimentation, and curiosity. The Product Analytics team is a key enabler of informed decision-making across product, engineering, underwriting, risk, operations, and other areas.

We are now seeking a Product Analytics Team Leader to manage and grow a team of four exceptional product analysts. In this role, you will be responsible for scaling our analytics capabilities, driving high-impact insights that inform product strategy, and guiding experimentation efforts across the organization. Youll serve as a strategic thought partner to senior product and business leaders, ensuring the effective use of analytics tools and methodologies. This position requires a strong understanding of product development, a deep analytical mindset, and excellent leadership skills.

Responsibilities

We are looking for a hands-on, experienced analytics leader who will:

Lead, mentor, and develop a team of 4 product analysts, fostering a culture of curiosity, critical thinking, and continuous learning.
Define and evolve our product analytics strategy, including KPI frameworks, event tracking standards, and experimentation processes.
Partner closely with product managers, engineers, designers, and senior stakeholders to identify key business questions, translate them into analytical projects, and deliver insights that shape product roadmaps and strategic decisions.
Promote analytics excellence by driving best practices in data instrumentation, experimentation design, statistical analysis, and business storytelling.
Lead the development and maintenance of dashboards and A/B testing frameworks to evaluate user behavior, feature performance, and product-market fit.
Conduct and oversee in-depth analysis of product usage, customer journeys, and market trends to uncover opportunities and solve critical product challenges.
Translate complex data findings into clear, actionable recommendations, effectively communicating insights to technical and non-technical audiences.
Stay current with trends in product analytics, data tooling, and emerging technologies to continuously raise the bar for the team and the broader product organization.
Champion data-driven decision-making throughout the product lifecycle-from ideation and development to launch, iteration, and sunset.
דרישות:
Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. Master's degree preferred.
6+ years of experience in product or business analytics, with at least 1-2 years in a formal team lead or managerial role.
Proven track record of leading analytics projects end-to-end and partnering with product & engineering teams in a tech-driven organization.
Strong command of SQL - able to guide and review complex queries and pipelines.
Experience with experimentation platforms and product tracking tools (Mixpanel, Full-Story, etc.).
Proficiency in data visualization tools (e.g., Tableau, Looker).
Solid understanding of A/B testing methodologies and statistical significance.
Excellent communication, presentation, and interpersonal skills, able to present insights clearly to both technical and non-technical audiences.
Analytical and adaptable; thrives in a fast-paced, evolving startup environment.
Fluent English speaker - strong written and verbal communication required.
Cyber knowledge (advantage).
Experience with programming languages such as Python for data analysis. המשרה מיועדת לנשים ולגברים כאחד.
 
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04/02/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Responsibilities:
Design, implement, and improve ML and AI models to drive business outcomes across multiple domains, such as recommendation systems, image recognition, ChatBot, etc.
Own the end-to-end ML lifecycle: data preprocessing, feature engineering, model training, validation, and deployment.
Expert level in designing evaluation pipelines to prove performance, scalability, and consistency
Leverage generative AI and LLMs to enhance existing workflows and explore new product opportunities.
Collaborate with Product, Engineering, and Analytics teams to align modeling efforts with business needs.
Clearly communicate complex findings and model insights to stakeholders.
Requirements:
Requirements
BSc or higher in Computer Science, Mathematics, Statistics, or related fields.
4+ years of hands-on experience as a Data Scientist, ideally within mobile, gaming, or social network industries.
Proven experience with AI/ML frameworks and toolkits (Scikit-learn, TensorFlow, PyTorch, LangChain, etc.).
Familiarity with MLOps best practices, model versioning, experiment tracking, and continuous deployment.
Strong knowledge of machine learning techniques: Classification, regression, segmentation, reranking, model interpretability.
Solid background in data analysis and statistics; ability to design experiments and interpret results.
Experience working in cloud environments, especially Google Cloud Platform (GCP) - BigQuery, GCS, Vertex AI (a plus).
Comfortable working in fast-paced, production-critical environments with a sense of ownership and accountability.

Advantages:
Experience developing recommendation engines, especially with deep learning and reranking techniques.
Experience with LLM-based applications, prompt engineering, Agents development, etc.
This position is open to all candidates.
 
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27/01/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an experienced Data Scientist who can leverage and develop innovative machine learning, NLP, and generative AI technologies, for solving problems within a wide scope.
As a part of our Data Science group, you will work on highly complicated challenges, from research to production, and help shape our algorithms and AI platform. You will work with Developers, Analysts, Product Managers, and business owners on growth opportunities and new ideas.
You should have a strong background and experience in the machine learning pipeline through business understanding, research, data exploration, feature engineering, model building, performance evaluation, testing, production-level code and deployment, model monitoring, and maintenance.
What am I going to do?
Take leading roles in projects such as search engine ranking, promoted ads in our companys search results, recommendations, users segmentation and personalization, online bidding optimization, text analysis, real-time predictions, live streaming data handling, exploration-exploitation problems, etc.
Work closely with various departments in the company to provide advanced Data Science solutions end to end.
Write and own production models and code.
Independent research and innovation in new content and technological domains.
Lead and advise other team members.
Continuously produce new initiatives and improvement ideas.
Act as a leader of our companys AI platform. Develop models and framework solutions for the group.
Requirements:
MSc in Computer Science/Engineering or related field with a focus on applied statistics, AI, machine learning, or related fields - a must.
6+ years of production environment experience, working with predictive and probabilistic models, clustering algorithms, classification models, search and recommendation techniques - a must.
Proven record for successful production implementation of translating product/business requirements into a technical solution.
Experience with Large Language Models (LLMs), including fine-tuning, prompt/context engineering, and working with modern AI/LLM toolchains.
Team player, Ability to handle several tasks simultaneously.
Strong knowledge in Python, SQL, and NoSQL.
Spark and Big data technologies experience - an advantage.
Research experience - an advantage.
Experience with e-commerce - an advantage.
This position is open to all candidates.
 
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05/01/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Senior Data Scientist on our Applied AI team, you will join our Tel Aviv office and play a hands-on, end-to-end role in delivering innovative capabilities that help mayors and other city leaders understand their communities and improve the lives of millions worldwide. Reporting to the Applied AI Team Lead, you will collaborate with product, engineering, and fellow data-science teammates to turn cutting-edge research into production-ready solutions-quickly, reliably, and with maximum real-world impact. Youll work with a rich mix of data sources (including social media, news stories, survey results, resident feedback, and more) to create models and AI-powered features that scale.

Day to Day

Design, build, and deploy AI and machine-learning solutions, from data exploration through modeling, evaluation, and integration into customer-facing products and internal tools.
Optimize models for quality and scalability through feature engineering, hyper-parameter tuning, runtime profiling, and thoughtful architectural choices.
Build and maintain data pipelines using tools such as Airflow, Spark, and Databricks to ensure clean, reliable inputs for downstream models.
Collaborate closely with product managers, engineers, and designers to refine problem statements, iterate rapidly, and ship impactful features on schedule.
Champion technical excellence by conducting code reviews, sharing best practices, and mentoring teammates across data science and engineering.
Stay current with the latest developments in AI-including LLMs, RAG systems, and AI agents-and proactively propose ways to incorporate new techniques into our workflows.
Work an in-person or hybrid schedule, spending at least three days per week in our Tel Aviv office.
Requirements:
5 + years of hands-on experience developing and deploying machine-learning or data-science solutions with Python and SQL.
Ability to deliver production-ready NLP systems, leveraging expertise in classical NLP methods (e.g., TF-IDF/CRF, topic modeling) and modern LLMs (e.g., prompting, RAG, fine-tuning)
Proven, end-to-end experience building AI- and machine learning-based solutions from prototype to production deployment.
Demonstrated success shipping data-intensive services to production on cloud infrastructure using data tools such as PostgreSQL, Databricks, Spark, or Airflow.
Deep understanding of machine-learning fundamentals in theory and practice
Expertise in machine learning metrics and quality control.
Solid understanding of software-engineering best practices (including design patterns, data structures, and version control).
Excellent interpersonal and communication skills, with the ability to explain complex technical concepts to non-technical stakeholders and collaborate across teams.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8488065
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1 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a strong, hands-on Data Scientist with knowledge in Security Research to join a cutting-edge AI and cyber security initiative at our company.
In this role, youll be part of a growing data science team working on advanced prevention technologies, leveraging vast amounts of data and state-of-the-art machine learning techniques to help protect users on a global scale.
This is a unique opportunity to join a high-impact, research-driven environment, where you will have the chance to shape core components of a next-generation security solution.
The team is responsible for researching and developing state-of-the-art AI/ML engines that protect hundreds of thousands of customers worldwide.
Perform daily analysis of real-world malware campaigns observed in the wild.
Research and evaluate optimal modeling approaches to address new security enhancements.
Design and build high-quality datasets and train models to detect emerging and advanced malicious techniques.
Deploy models within our companys cloud infrastructure, capable of processing and analyzing millions of files per day.
Key Responsibilities
Research and develop innovative AI-powered capabilities for cyber threat prevention.
Perform hands-on malware analysis in Windows environments, focusing on files and related threats.
Rapidly prototype and iterate based on data insights and user feedback.
Design and build data-driven solutions with a strong emphasis on practical impact and performance.
Collaborate closely with cyber researchers, analysts, and engineers to deliver production-grade machine learning models.
Work across organizational boundaries to bring solutions from concept to large-scale deployment, considering system constraints and integration challenges.
Requirements:
BSc in Computer Science, Mathematics, Bioinformatics, Statistics, Engineering, Physics, or a similar discipline; MSc is an advantage.
At least 2 years of hands-on malware analysis experience in Windows environments, focusing on file-based threats - must
At least 2+ years of experience applying data science techniques, including Machine Learning, Deep Learning, and statistical data analysis, with practical hands-on work in Python.
Comfortable using data science libraries such as: sklearn, pandas, numpy, pytorch,langchain with a focus on developing statistical and machine learning algorithms.
At least 2 years of experience using AI tools in practical applications.
Team player, able to work in collaboration with subject matter experts, with the ability to present and communicate findings.
Proven ability to build and deliver data solutions in a short time frame.
Advantages
Experience with AWS, Docker, and development methodologies.
Experience with Databricks.
Knowledge in AI edge technologies such as MCP and automated analysis tools such as langflow, n8n etc.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8540444
סגור
שירות זה פתוח ללקוחות VIP בלבד