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לפני 21 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Data Scientist to lead strategic research initiatives focusing on our Auto loans asset class. This individual will be at the forefront of research, working hands-on to advance our models while also mentoring and collaborating with data scientists across the department.
Responsiilities:
Spearhead strategic research of new cutting edge Machine Learning models
Mentor and advise data scientists.
Design solutions for the companys core mission using Data Science methodologies from various domains
Work in a short life-cycle research and development environment
Generate and test working hypotheses in unexplored territory
Requirements:
5+ years of experience in Machine Learning, working with tabular data on predictive modeling
Track record of translating research into business impact
MSc or PhD in a related field- Math/EE/CS/Physics/Stats
Great interpersonal skills, and strong collaborator
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Proficient in Python and the Data Science Stack
Independent and fast learner that can work alone and in teams
Ability to learn and explore new fields of expertise
Knowledge in some of the following can be an advantage: optimization, risk and finance
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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11/02/2026
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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6 ימים
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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הגשת מועמדותהגש מועמדות
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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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04/02/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a 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 3+ 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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הגשת מועמדותהגש מועמדות
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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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הגשת מועמדותהגש מועמדות
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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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6 ימים
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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הגשת מועמדותהגש מועמדות
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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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הגשת מועמדותהגש מועמדות
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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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עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
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