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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
A large-scale mobile platform, is seeking a highly skilled Senior Data Scientist to join our dynamic AI team. The ideal candidate blends a strong foundation in machine learning, statistics, and software engineering with a passion for modern, AI-accelerated development. You will be responsible for leading the research, design, and end-to-end development of cutting-edge machine learning systems at scale.
What you'll be doing
Innovate at Scale: Design and deploy advanced ML solutions by leveraging our vast, large-scale datasets.
Build & Scale: Develop online, scalable models and tools using machine learning, deep learning, NLP, and modern LLM frameworks.
End-to-End Ownership: Drive projects through their entire lifecycle-from translating complex business questions into technical strategies, all the way to robust production deployment.
Production Excellence: Champion high engineering standards by building, monitoring, and optimizing resilient production workflows.
Cross-Functional Collaboration: Work closely alongside data scientists, ML engineers, product managers, analysts, and developers to solve complex, multi-faceted problems.
Requirements:
Education: MSc or PhD in Data Science, Computer Science, Mathematics, Statistics, or a related engineering field.
Experience: 4+ years of proven experience as a Data Scientist solving complex business problems with state-of-the-art algorithms.
Deep Learning: Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
Engineering & Production: High-level software engineering expertise, with a strong track record of deploying, maintaining, and scaling models in rigorous production environments.
Strong analytical thinking: Take a vague business question, translate it into a testable hypothesis, build the infrastructure to run an experiment, and draw rigorous conclusions from the results.
Massive Scale: Experience working with billions of records and big-data frameworks (e.g., Spark, Ray, Dask, Airflow).
Domain Expertise: Proven experience building and optimizing applied recommendation systems.
AI development: Fluency with modern AI coding tools and practices (e.g. Cursor, Claude Code, Copilot) and an eagerness to integrate them into your daily workflow
Leadership & Soft Skills: Demonstrated experience leading machine learning projects. You are a highly analytical team player capable of handling multiple tasks simultaneously in a fast-paced environment.
You might also have
LLM & Agentic Frameworks: Experience building applications with modern AI tools and frameworks (e.g., LangChain, LangGraph).
AI Observability: Hands-on experience with LLM observability, evaluation, and tracing frameworks (e.g., Langfuse).
MLOps & Infra: Experience working with MLOps tools (e.g., MLflow, Kubeflow, Weights & Biases, SageMaker) and feature stores (e.g., Feast, Tecton).
This position is open to all candidates.
 
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05/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Principal Data Scientist, you will apply your expertise in data analysis, machine learning, and cybersecurity to build new AI-based defense techniques against cyber-threats. You will be a driving force in designing and developing groundbreaking, ML-based security solutions that block attacks even before they begin, shaping the future of cybersecurity and impacting millions of customers.
Key Responsibilities
Contribute to a diverse and highly skilled research group that pioneers state-of-the-art technologies to protect our customers.
Utilize analytical rigor, statistical methods, programming, and data modeling to analyze vast amounts of data, applying your cybersecurity knowledge to guide our focus and approach.
Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholders.
Lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment.
Requirements:
Required Qualifications
6+ years of hands-on experience delivering production-grade data science and machine learning projects.
Proven track record in applied data science for cybersecurity.
Deep expertise in probability, statistics, and machine learning, with a proven ability to select, adapt, and apply advanced algorithms to real-world problems.
Proven deep learning experience, including model design, training, and evaluation.
Strong proficiency in Python with solid working knowledge of SQL.
Advanced degree (MSc or PhD) in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Mathematics, or a closely related field.
Demonstrated ownership of end-to-end research POCs, from problem formulation and experimental design through execution, analysis, and final recommendations.
Strong emphasis on engineering-quality, production-ready code with high standards for reliability, scalability, and maintainability.
Excellent communication skills, with the ability to clearly articulate complex technical insights to both technical and business stakeholders.
Preferred Qualifications
Direct experience with detection and response platforms (XDR, EDR, or NDR).
Experience working with Big Data platforms (e.g., GCP, BigQuery, Dataflow).
Familiarity with cloud-native architectures and MLOps tools for managing the model lifecycle at scale.
This position is open to all candidates.
 
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06/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Data Scientist, you will apply your expertise in software engineering, LLM agents, and cybersecurity to build new defense techniques against cyber-villains. You will be a driving force in designing and developing groundbreaking, Agentic LLM-based security solutions that block attacks before they begin. Join our innovative team to shape the future of cybersecurity and impact millions of customers.
Important: this role requires a unique combination of hands-on software engineering skills as well as previous experience with designing and delivering LLM-driven products.
Key Responsibilities
Contribute to a diverse and highly skilled research group that pioneers state-of-the-art technologies to protect our customers.
Utilize analytical rigor, statistical methods, programming, and data modeling to analyze vast amounts of data, applying your cybersecurity knowledge to guide our focus and approach.
Design and implement agentic LLM solutions to face modern cybersecurity challenges.
Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholders.
Lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment.
Requirements:
Required Qualifications
Natural scientific curiosity and ability to handle complex problems.
At least 2 years of experience in hands-on Agentic LLM projects. This includes experience with the common agentic frameworks (e.g., LangChain, LangGraph), with emphasis on algorithmic design, large-scale deployment and monitoring.
At least 4 years of experience as a software engineer with high proficiency in python and at least good familiarity with SQL.
Deep understanding of probability, statistics, and machine learning models with a proven track record of selecting, modifying, and applying advanced algorithms to solve practical problems.
Demonstrated ability to run end-to-end research POCs, from conceptualization to solutions, including designing, executing, analyzing, and concluding research methodologies and outcomes.
Good communication skills, with the ability to convey complex research findings clearly and effectively to both technical and business audiences.
Preferred Qualifications
Advanced degree (MSc or PhD) in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Mathematics, or a related field.
Background in the cybersecurity domain.
Hands-on experience with open-source generative libraries (e.g., Hugging Face).
Experience working with big data platforms (e.g., GCP).
Familiarity with cloud-native architectures and services for data processing.
This position is open to all candidates.
 
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7 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a Senior Data Scientist / Applied Researcher to join our company's core product organization, where you will build and deploy next-generation AI models powering real-world cybersecurity use cases across our diverse product portfolio (Posture, Detection, and CTI). The role centers on building and scaling intelligent systems powered by LLMs, advanced ML techniques, and agent-based architectures.
You will join a team within our companys Cyber R&D organization, leading the companys core product portfolio-while driving AI innovation and setting best practices across the domain. The group focuses on developing next-generation technologies, including training and optimizing LLMs and building advanced multi-agent workflows, while mentoring data scientists across R&D.
As a key technical leader, you will guide the evolution of our AI capabilities-converting cutting-edge ideas into impactful, production-ready systems and shaping our long-term direction.
We are looking for visionary data scientists and applied researchers eager to take on ambitious challenges and push the boundaries of AI in cybersecurity.
Responsibilities
Design and build advanced AI models and systems that power our companys core products and address real-world cybersecurity challenges.
Own initiatives end-to-end from identifying customer-driven problems and shaping solutions to experimentation, prototyping, and production deployment.
Drive forward new ideas and research directions, turning emerging concepts into practical, scalable solutions.
Influence the organizations roadmap and contribute to long-term technical strategy across our companys AI and product landscape.
Requirements:
5+ years of experience 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 in applied research, including work with Transformers, open-source LLMs, or other advanced deep learning architectures.
Strong programming skills in Python, with hands-on experience in modern ML frameworks and tooling.
Excellent problem-solving skills and a strong experimental mindset.
Strong communication skills and the ability to collaborate effectively across teams.
High curiosity and a passion for learning new technologies, methods, and domains.
This position is open to all candidates.
 
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05/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Are you passionate about harnessing cutting-edge data science techniques to protect the world from cyber threats? Do you thrive in the dynamic world of cybersecurity? If so, we invite you to join our innovative and forward-thinking team where you'll have the opportunity to shape the future of cybersecurity and impact millions of customers. As a Principal Data Scientist, you will apply your expertise in data analysis, machine learning, and cybersecurity to build new endpoint-based defense techniques against cyber-villains. You will be a driving force in designing and developing groundbreaking, ML-based security solutions that block attacks even before they begin.
Key Responsibilities
Contribute to a diverse and highly skilled research group that pioneers state-of-the-art technologies to protect our customers.
Utilize analytical rigor, statistical methods, programming, and data modeling to analyze vast amounts of data, applying your cybersecurity knowledge to guide our focus and approach.
Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholders.
Lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment.
Requirements:
Required Qualifications
6+ years of hands-on experience delivering production-grade data science and machine learning solutions.
Proven experience with deep learning and transformer-based models, including model design, training, optimization, and evaluation.
Strong Python proficiency with solid working knowledge of SQL.
Advanced degree (MSc or PhD) in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Mathematics, or a related field.
Deep expertise in probability, statistics, and machine learning, with the ability to select, adapt, and apply advanced algorithms to real-world problems.
Demonstrated ownership of end-to-end research POCs, from problem formulation and experimental design to implementation, analysis, and actionable recommendations.
Strong focus on engineering-quality, production-ready code, with high standards for reliability, scalability, and maintainability.
Excellent communication skills, with the ability to translate complex technical insights into clear explanations for both technical and business stakeholders.
Preferred Qualifications
Background in the cybersecurity domain, with focus on endpoint security
Experience working with big data platforms (e.g., GCP).
Familiarity with cloud-native architectures and services for data processing.
This position is open to all candidates.
 
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12/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Senior Data Scientist (AI & ML focus).
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:
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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Location: Tel Aviv-Yafo and Ramat Gan
Job Type: Full Time
Required Staff Data Scientist, GenAI and Agentic SOC
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. we accelerate every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to us as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Drive the technical direction and execution for all machine learning (ML) and AI initiatives within the team, acting as the central tech lead for our Generative AI transformation.
Design, build, and scale the core infrastructure and pipelines necessary to develop, fine-tune, and deploy autonomous security agents (like our alert response agents) into production.
Create testing and evaluation methodologies to continuously measure the safety, accuracy, and performance of LLMs and agentic workflows in high-stakes security environments.
Partner closely with software engineering, product, and UX teams to seamlessly blend deterministic playbooks with dynamic AI intelligence, ensuring a flawless experience for SOC analysts.
Mentor peers, set the standard for ML operational excellence, and foster a startup-like culture of rapid, safe experimentation and innovation.
Requirements:
Minimum qualifications:
Batchelor's degree or equivalent practical experience.
10 years of experience in software engineering and data science.
Preferred qualifications:
Experience leading the technical direction of machine learning or data science projects from inception to production.
Experience developing, fine-tuning, and deploying generative AI and Large Language Models (LLMs) in enterprise environments.
Experience designing and implementing evaluation frameworks to measure the safety, accuracy, and performance of AI models.
Experience architecting machine learning infrastructure and data pipelines for autonomous or agent-based systems.
Experience collaborating with cross-functional software engineering, product management, and UX teams to integrate AI models into user-facing products.
Experience working with cybersecurity concepts, such as incident response, threat detection, SIEM, or SOAR workflows.
This position is open to all candidates.
 
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לפני 2 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a passionate Senior Data Scientist, to work end to end on some of our core problems. Solving these will help drive revenue and improve decision making.
As a Senior Data Scientist you will be handed a business problem and will be asked to provide an end to end solution - Unpack and thoroughly understand the business problem, define the strategy to deal with it and develop & deploy your solution along with relevant support.
What you'll be doing
Design and implement end-to-end solutions - from business needs all the way to live deployment
Monitor and own models in production
Model, design, and implement machine learning and data mining algorithms
Perform deep data analysis to evaluate performance and recommend improvements
Help, guide and support our business partners to allow for scale and accuracy while adopting your solutions.
Requirements:
At least 5 years of experience as data scientist /researcher, combining excellent hands-on SQL and Python skills
At least 5 years of experience applying ML algorithms to solve real world business problems (e.g., Logistic Regression, Gradient Boosting Machines, Neural Networks, and unsupervised clustering)
B.Sc in Computer Science, Statistics, Operations Research or equivalent
Solid background with data lake and data warehouse technologies
Great communication skills, Hands-On, independent and out of the box thinker
You might also have
Experience in the Mobile gaming and advertising industries
Proven experience with Airflow development
Experience with big data technologies such as Spark, Trino, SingleStore DB
Experience with Cloud Computing.
This position is open to all candidates.
 
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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As our AI Team Lead, you will sit at the intersection of cutting-edge research and production engineering, guiding a high-performing team of Data Scientists and Engineers. This is a deeply hands-on leadership role where you will drive the end-to-end lifecycle-from initial research and PyTorch training to deploying sophisticated multi-modal AI (Text, Image, Audio, and Video) in high-throughput environments. Join us in building the future of responsible AI adoption and digital integrity.

Responsibilities
Manage and grow a high-performing team of AI researchers and engineers, fostering technical excellence.
Drive the design and training of multimodal models applications (Text, Image, Audio, Video) using PyTorch.
Own the AI roadmap from initial concept to scalable, high-throughput production.
Partner with Product, Backend, and Security teams to integrate AI solutions globally.
Stay at the forefront of GenAI/LLM research to continuously improve our detection engines.
Requirements:
BSc in Computer Science, Mathematics, or a related quantitative field (MSc/PhD preferred).
4+ years of hands-on experience as a Data Scientist or AI Engineer, with a proven track record of training and deploying models at scale.
1+ years of experience leading or managing a technical team.
Expert-level proficiency in PyTorch and the usual ML stack (Python, NumPy, cikit-learn, etc.).
Demonstrated experience working with at least two of the following domains: NLP, Computer Vision, Audio processing, or Video analysis.
Experience with Cloud-native environments (GCP preferred), Docker, and Kubernetes.
Familiarity with modern LLM frameworks (Transformers, Peft, TRL, LangChain, etc.).
Experience building and maintaining distributed data pipelines for ML training.
This position is open to all candidates.
 
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10/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are looking for a Senior Product Manager to join our fast-growing AI & Data Science group. Reporting to our AI Product Director, you will be supporting the team building products for the next era of AI & Agentic Ecommerce - Where AI agents discover, negotiate, and purchase on behalf of users. You will lead the development of agent-ready experiences, ensuring interoperability with industry protocols, while driving measurable conversion, fraud, and cost outcomes for merchants. The ideal candidate will have a strong background in product management, a deep understanding of AI technologies, a passion for data driven insights, and the ability to translate complex technical concepts into market-leading products.
Responsibilities:
Define and execute the product roadmap for AI & Data Science solutions, aligning with company goals and market needs.
Drive the development and strategic vision for agentic commerce, agent-aware checkout and payment flows. Ensure protocol interoperability and compliance with leading industry standards such as AP2, Visa Trusted Agent Protocol, and Mastercard Agent Pay. Incorporate robust risk and trust signal mechanisms like agent verification, velocity controls, anomaly detection, and human-in-the-loop reviews, all while upholding Responsible AI guardrails.
Collaborate with cross-functional teams, including data science, engineering and commercial teams to bring products from conception to launch.
Conduct market research and competitive analysis to identify trends, opportunities, and challenges in the AI & Agentic Commerce space.
Work closely with data scientists and engineers to define product requirements, prioritize features, and ensure technical feasibility.
Develop and implement go-to-market strategies, ensuring products meet user needs and achieve commercial success.
Monitor product performance, gather feedback from users and stakeholders, and iterate quickly to enhance product offerings.
Stay abreast of advancements in AI & Agentic technologies to continually innovate and improve our product portfolio.
Requirements:
Bachelor's degree or higher in Computer Science, Engineering, Business, or related field.
Minimum of 5 years of experience in product management, preferably in the fintech sector, and managing payment products.
Strong understanding of AI and machine learning technologies, including LLM and agents, and their application in solving business problems.
Proven track record of developing and launching successful products.
Excellent communication and interpersonal skills, with the ability to work effectively with technical and non-technical teams.
Strong analytical and problem-solving skills, with a data-driven approach to decision making.
Ability to thrive in a fast-paced, dynamic environment, managing multiple projects and priorities.
Nice to Have:
Familiarity with Google AP2, Visa Trusted Agent Protocol, Mastercard Agent Pay, or adjacent standards.
Familiarity with Databricks, feature stores, vector DBs, MLflow/MLOps, BI, real-time events and big data.
Prior experience with payment stacks: knowledge of tokenization, card-present vs. card-not-present, 3DS2/SCA, network rules, APMs, and settlement/reconciliation basics.
Prior experience with fraud stacks, dispute resolution, and model governance in regulated environments.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Data Scientist / Applied AI Researcher with deep expertise in NLP and LLM-based systems, and the ability to operate across the full lifecycle, from problem formulation and research design to production deployment and real-world iteration.
You wont be working on isolated experiments. Youll be part of a multidisciplinary team that owns the system end-to-end and is responsible for how it behaves under real production traffic.
This role requires strong scientific discipline and the maturity to balance innovation with practical constraints.
What youll do
End-to-End Ownership: Lead AI security solutions from problem formulation and research design through model development, evaluation, and production deployment. Ensure solutions are measurable, reliable, and effective under real-world traffic.
Drive Technical Direction: Take responsibility for ambiguous AI security problems, propose thoughtful approaches, and drive structured experimentation and deep model analysis.
Build for Scale: Design systems that are not only accurate, but scalable, efficient, and robust.
Staying Updated: Continuously explore advances in NLP and LLM-based systems, and critically assess what is worth integrating into a production environment.
Requirements:
5+ years of hands-on experience applying NLP/DL algorithms, techniques to real-world problems, with strong intuition for textual data and model behavior.
Experience working with LLMs, with a strong grasp of practical best practices and the judgment to apply them throughout the R&D lifecycle when building task-specific models.
Strong proficiency in Python and modern DL frameworks (PyTorch, HuggingFace, etc.).
Experience designing experiments, defining metrics, and analyzing model failures.
A strong drive to solve complex AI security challenges, with both curiosity and pragmatism.
This position is open to all candidates.
 
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עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
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