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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Senior Data Scientist
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Data Scientist, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
How youll make an impact:
As a Senior Data Scientist, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.
Requirements:
M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field
Strong knowledge in Python
Good knowledge in Java, Scala or C++
Familiarity with statistical modeling techniques
5+ years of hands on experience with coding machine learning/statistical modeling based solutions
Experience in data analysis and visualization and strong knowledge in SQL
Possess strong problem solving and critical thinking skills
Bonus points if you have:
Experience in developing models using deep learning techniques and tools
Experience in developing software within a distributed computation framework.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Required Senior Machine Learning Scientist I - GenAI Applications
26992
About the team:
This opening is for the GenAI Applications Team within the Data & AI Marketplace department.
The GenAI Applications team is responsible for designing and delivering agentic, ML-powered solutions for some of our most impactful products, including booking search experiences, trip planning, and trip helpfulness. The team builds AI-driven applications and conversational agents, such as chatbots and intelligent assistants, that significantly enhance the end-to-end customer experience.
Role Description:
As a Senior Machine Learning Scientist, you will work closely with engineers and to design, develop, and evaluate machine learning solutions for scalable, customer-facing GenAI applications. Your work will focus on researching, training, fine-tuning, and rigorously evaluating models leveraging LLMs, recommendation systems, and agent-based architectures, using state-of-the-art techniques. You will drive experimentation, define success metrics, and translate insights into impactful AI solutions that shape the future of intelligent travel products.
Key Job Responsibilities and Duties:
Explore and apply state-of-the-art techniques in multimodal machine learning.
Train innovative ML models (NLP, CV, LLM-finetuning), build algorithms, and engineering approaches to drive business impact..
Coding skills: ensure implementation of reusable frameworks (clean and scalable code).
Conduct data analysis with detailed metrics to evaluate models performance, labels quality, features exploration.
Work closely with machine learning engineers to ensure the model's latency/throughput meets product requirements and ensure deployment of your model to production.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.
Requirements:
Advanced knowledge and experience in Computer Vision and Natural Language Processing, engineering aspects of developing ML and GenerativeAI models at scale.
Experience designing and executing end-to-end research and development plans and generating impact through large-scale machine learning model development. Preferably evidenced by peer-reviewed publication, patents, open sourced code or the like.
Relevant work or academic experience (MSc + 6 years of working experience, or PhD + 4 years of working experience), involved in the application of Machine Learning to business problems.
Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Engineering Mathematics, Artificial Intelligence, Physics, etc.).
Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.
Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc.).
Strong working knowledge of Python, Java, Kafka, Hadoop, SQL, and Spark or similar technologies. Working experience with version control systems.
Excellent English communication skills, both written and verbal.
Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels
Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and managing your key team performance indicators.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a passionate Senior Data Scientist to join our all-star team.

This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, results, marketing and data-oriented environment.

If you are experienced but still hungry to learn and impact - wed love to have you on our team!



What You'll Do:

Devise, initiate, manage and execute cutting edge exploration and exploitation projects.
Apply your knowledge of Data Science and algorithm development to create data solutions.
Analyze extremely large (petabytes) and diverse datasets to solve complex problems, and then develop algorithmic solutions to do it for you.
Proactively seek growth opportunities aligned with core KPIs.
Partner with other functions in the company, to support decision making.
Instant data gratification guaranteed!.
Requirements:
4+ years of practical analytics experience in big data businesses (preferable - B2C company).
A hands-on, passionate person who likes to get to the bottom of things in terms of algorithms, data and business.
Excellent analytical skills with experience in querying large, complex data sets.
Strong understanding of statistical significance.
Hands-on experience with machine learning algorithms; Python and data visualization tools such as Tableau, Looker, etc.
BSc degree (or higher) in Mathematics, Statistics, Engineering, Computer Science or any other quantitative field.
Self-learner, multi-tasker, able to work independently.
Self-sufficient proactive problem-solver.
Excellent communications skills, both written and verbal.
Familiarity with the Ad-Tech industry - a big plus.
Experience in implementing real-time machine learning and data mining algorithms in large scale environments - a big plus.
Fun to work with & a team player :).
This position is open to all candidates.
 
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לפני 7 שעות
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Senior Data Scientist who will join our growing Detection group. You'll be a significant part of the development of our state-of-the-art anomaly detection models to find and protect against nation-sponsored cyber-attacks. In this role, you will work with product, engineering, and cyber teams to train, evaluate, and deploy anomaly detection models on a massive scale.
The Responsibilities
Analyze, transform and clean large, complex data sets from various sources to ensure data quality and integrity for analysis.
Conduct hands-on research and development of state-of-the-art models and algorithms.
Extract relevant features from structured and unstructured data sources, design and engineer new features and feature selection methodologies to enhance model performance.
Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics.
Lead research projects end-to-end from problem formulation, ideation, and experimental design to prototyping and transition into production.
Explore new methodologies and develop creative approaches to solve complex challenges.
Requirements:
5+ Years as a Data Scientist with proven production-level impact.
Master's degree in computer science, mathematics or Engineering with focus on machine learning.
Proven track record designing and training anomaly-based models for large datasets.
Strong programming skills in Python and familiarity with modern ML tooling and frameworks.
Experience conducting applied research and working with transformers, open-source LLMs, or other advanced deep learning architectures.
Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment.
Excellent problem-solving abilities and a strong experimental mindset.
Effective collaborator with strong communication skills.
Curiosity and a passion for learning new technologies, methods, and domains.
Background in the cyber security domain - an advantage.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an experienced and creative data scientist, with a software development touch, to join our Data Science and family. A data scientist that understands and loves data, and lots of it.
What you will do...
Solve Applied Product Challenges: Deep-dive into the product ecosystem to identify and solve high-impact problems. You will translate complex customer needs into scalable ML features that directly improve the user experience.
Lead Exposure Intelligence R&D: Develop features that unify asset data (CAASM) with threat intelligence. This includes building models for entity resolution (deduplicating assets across fragmented sources) and automated risk assessment.
Advanced NLP & Knowledge Extraction: Use NLP and LLMs to parse unstructured security data-such as CVEs, threat intel feeds, and security advisories-to automate the mapping of vulnerabilities to specific business contexts.
Predictive Prioritization: Design and optimize algorithms that go beyond static CVSS scores. You will incorporate exploitability (EPSS), reachability, and business criticality to help clients focus on the 1% of exposures that matter most.
End-to-End Ownership: Work closely with Product Managers and Data analysts and Engineers to ensure your models aren't just accurate in a notebook, but are robust, explainable, and deliver clear value within the product UI.
Graph-Based Attack Surface Mapping: Identify hidden patterns and relationships between assets, users, and vulnerabilities to visualize the potential "blast radius" of a security gap.
Requirements:
Academic Background: M.Sc./PhD in Computer Science, Statistics, Engineering, or a related field (or equivalent high-level professional experience).
Industry Experience: 6+ years in Data Science, with a heavy focus on NLP and solving complex, real-world problems using ML/Deep Learning.
Technical Mastery: Hands-on experience with PyTorch, Hugging Face, scikit-learn, and SQL. Familiarity with processing large-scale datasets (PySpark, or similar) is highly valued.
Domain Awareness: Proven ability to apply statistical modeling to cybersecurity, risk management, or complex system analysis. Experience with Vulnerability Management or Graph Theory is a significant plus.
Product and collaborative Driven Mindset: You are obsessed with understanding the "Why" behind the data. You enjoy learning the nuances of the product and the cybersecurity domain to ensure your DS solutions are highly applicable.
Curiosity & Grit: A passion for diving into "messy" data and finding the signal within the noise of the modern attack surface.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a talented and motivated Senior Data Scientist to join our AI team. In this role, you will lead the development of our best-in-class conversational heart health agent. You will work on highly complicated challenges, spanning from deep research to full-scale production. Your work will leverage cutting-edge Generative AI and agentic architectures to help solving one of the world's most significant and urging clinical issues: cardiovascular disease. Your contribution will directly impact healthcare practices and enhance the well-being of individuals globally.
Responsibilities
You will take ownership of designing and building a conversational heart health agent, utilizing advanced LLM techniques, RAG (Retrieval-Augmented Generation), and flow engineering.
You will architect and implement complex agentic and multi-agentic graphs using tools like LangChain and LangGraph to handle intricate clinical logic and user interactions.
You will not just research; you will write production-grade code. You will be responsible for optimizing, deploying, and maintaining these systems in a live environment.
You will implement robust monitoring and debugging workflows for agentic products (using tools like LangFuse or LangSmith) to ensure safety, accuracy, and performance.
You will work closely with product managers and clinical experts to translate clinical research into digital insights and conversational flows that will be used on a daily basis.
You will innovate and make new ideas happen fast, in an agile way, keeping up with the rapidly evolving landscape of GenAI.
Requirements:
5+ years of hands-on experience in developing machine learning and statistical models using Python (Required).
MSc in Computer Science, Electrical Engineering, Statistics, Applied Math or other related fields (Required).
Deep experience with Generative AI, specifically LLMs, Prompt Engineering, RAG, and flow engineering (Required).
Proven experience building agentic and multi-agentic graphs using LangChain or LangGraph (Required).
Experience with monitoring and debugging agentic products in production using tools such as LangFuse or LangSmith (Required).
Strong production experience with the proven ability to transfer research ideas into a scalable, production-grade system.
Experience working with PyTorch / TensorFlow and other standard DL tools (Required).
Expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, and anomaly detection.
Comfortable working in a dynamic group with several ongoing concurrent projects, both in the research phase and production phase.
Advantages:
PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or other related fields.
Experience in the healthcare industry and working with clinical data / EMR.
This position is open to all candidates.
 
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04/02/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Senior Data Scientist to join our R&D department!
Why is this role so important ?
we are a data-focused company, and our unique AI and machine learning capabilities are the center of our business.
As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions
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 out-of-the box requests from customers who want custom digital insights.
Requirements:
Holds a M.Sc in Computer Science/Mathematics/Physics or any other relevant field - Required
Has 5+ years of experience with statistical and machine learning tools - Python, R, etc.
Strong communicative and verbal abilities to lead and guide customers through the logic of custom-built models
Has previous experience developing machine learning/ image processing/NLP or similar algorithms
Demonstrated experience utilizing probability theory and statistics
Experience with Big Data tools and cloud infrastructure; PySpark, AWS (big advantage)
Strong analytical skills; experience analyzing and processing tabular data, and extracting insights (big advantage)
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
we are seeking a skilled Data Scientist to join our dynamic team. As a Data Scientist specializing in image analysis and text reading, you will play a pivotal role in developing and enhancing our AI-driven solutions for quick and accurate component inspection in electronic manufacturing.

Responsibilities
Develop and implement advanced algorithms for image analysis and text reading in the context of component inspection.
Collaborate closely with cross-functional teams to enhance existing models and drive continuous improvement.
Work with large-scale datasets, applying statistical and machine learning techniques to extract meaningful insights.
Stay updated with the latest advancements in the field of image analysis and text reading and apply them to enhance our solutions.
Requirements:
Solid experience in data science, with a focus on image analysis and text reading.

Proficiency in programming languages such as Python and familiarity with relevant libraries (e.g., TensorFlow, PyTorch, OpenCV).

Strong understanding of statistical modeling, machine learning, and deep learning algorithms.

Experience working with large-scale datasets and applying data preprocessing techniques.

Excellent problem-solving skills and the ability to work independently as well as in a team environment.

Strong communication and presentation skills, with the ability to convey complex concepts to non-technical stakeholders.
This position is open to all candidates.
 
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לפני 7 שעות
Location: Tel Aviv-Yafo
Job Type: Full Time
At our company, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers.
The Responsibilities
Conduct hands-on research and development of state-of-the-art models, algorithms, and systems.
Lead research projects end-to-end from problem formulation, ideation, and experimental design to prototyping and transition into production.
Explore new methodologies and develop creative approaches to solve complex challenges.
Identify ambitious research directions and invent novel approaches to solve complex, high-impact problems.
Shape the research roadmap and influence long-term technical strategy across the organization.
Requirements:
5+ Years as a Data Scientist with proven production-level impact.
Masters degree in Computer Science, Mathematics, Statistics or Engineering (PhD is a plus but not required).
Experience conducting applied research and working with Transformers, open-source LLMs, or other advanced deep learning architectures.
Strong programming skills in Python and familiarity with modern ML tooling and frameworks.
Excellent problem-solving abilities and a strong experimental mindset.
Effective collaborator with strong communication skills.
High curiosity and a passion for learning new technologies, methods, and domains.
This position is open to all candidates.
 
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05/02/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Data Scientist , you will be a part of a large and innovative data science group, working closely with Dev teams and product managers, to create business value through Data Science and Machine Learning methods using cutting edge technology, on large and diverse datasets.

The Role consists of understanding customers' needs and product requirements, exploring data, identifying and defining functionality from conception to delivery, creating and improving algorithms and ML pipelines, building measurement tools, providing data visualizations, and more.

Deliver end-to-end ML products - including data processing, problem analysis, research, model development, validation and metrics, implemented in production and with online testing.
Requirements:
M.Sc. in a quantitative discipline (e.g., Applied Mathematics, Statistics, Bioinformatics, Computational Biology, Computer Science or related fields) from a known university.
Senior DS, 5+ years of significant hands-on data science experience, or PhD with extensive and relevant academic research experience.
Strong programming skills in python. Ability to write clean and concise code.
Strong skills in statistics & mathematics and experience with analyzing complex data.
Strong communication skills, critical thinking, team player, fast learner.
Advantage if you have experience with one or more of the following :
This position is open to all candidates.
 
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20/01/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Join a high-impact ML team building state-of-the-art systems that optimize experiences for billions of users. You'll tackle challenging problems across diverse datasets - with the freedom to explore novel approaches and infrastructure to deploy them at scale.
What Success Looks Like:
Short-term: Ship your first production model with measurable impact within 3 months.
Long-term: Own major ML initiatives end-to-end and introduce new methodologies that expand the team's capabilities.
Your Impact:
Elevate our technical bar with fresh ML perspectives. Shape our roadmap by identifying opportunities others miss. Your research skills keep us cutting-edge while your execution speed drives results.
What You'll Gain:
Work on real-time ML systems at scale with rich, diverse data
Autonomy to define problems and drive projects from idea to impct
Freedom to explore emerging techniques and expand your scope
Fast feedback loops through strong experimentation infrastructure
What you'll be doing:
Design and deploy ML systems that optimize user engagement and advertising performance - build models that operate at scale (millions of users) with real-time inference requirements
Own end-to-end ML and GenAI projects - from identifying business opportunities and defining problems, through research and prototyping, to production deployment and impact measurement
Explore and implement cutting-edge ML approaches - research novel architectures (transformers, neural recommender systems, transfer learning) and adapt them to solve practical business challenges
Drive rapid experimentation and iteration - leverage A/B testing infrastructure and modern tooling to quickly validate ideas and ship improvements
Expand the team's ML capabilities - introduce new methodologies, share knowledge, and identify innovative opportunities beyond your initial scope
Requirements:
Proven ability to deliver production ML models with measurable business impact - from problem definition through deployment and outcome tracking
Strong programming skills in Python and modern ML frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost) with ability to write clean, efficient code for production systems
Self-directed research capability - demonstrated ability to independently explore unfamiliar ML domains, synthesize technical literature, and implement novel approaches
End-to-end ML development experience - data analysis, feature engineering, model selection, experimentation (A/B testing), and performance optimization
Structured problem-solving methodology - ability to decompose complex business problems, design solution approaches, and communicate technical findings to stakeholders
You might also have:
Positivity and enthusiasm
This position is open to all candidates.
 
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