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Location: Tel Aviv-Yafo
Job Type: Full Time
Our Data Science team leads data-motivated decisions across Waze's core functional areas, including the waze map and map editor, advanced guidance and voices, growth and strategy, user communications, and more. The team members are embedded within the waze development squads. We define data requirements and analytics strategies, execute experiments, deliver in-depth analyses and provide actionable recommendations. The teams contribution is crucial for the effective development and safe landing of the new waze features and help guiding the overall product strategy.
We are responsible for the research and development of advanced experimentation and causal analysis infrastructures to measure, understand and attribute features impact. We also own a comprehensive data warehouse, providing essential dashboards and analytics tools, including Gen-AI agents, to empower both Data Scientists and stakeholders throughout the organization.
Responsibilities
Develop and implement measurement methodologies and evaluation frameworks. Assess the performance, accuracy and groundedness of AI Agents, including the automated generation of synthetic training and evaluation data.
Work with various teams including software developers, data engineers and product managers, to define the requirements and implement Gen-AI models and solutions to drive innovation.
Translate technical concepts and investigative findings into clear, actionable insights for both technical and non-technical stakeholders.
Lead the design, development and deployment of Generative AI Agents for conversational driving-related experiences and scaling the ingestion, annotation and utilization of user generated contect and geospatial data feeds.
Requirements:
Minimum qualifications:
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
Preferred qualifications:
Master's degree or PhD in Data Science, Computer Science, or a related quantitative field.
7 years of experience as a data scientist applying advanced statistical and machine learning methods on real-world problems.
Experience in Generative AI, defining, building and evaluating AI-agents and leveraging foundational language models for introducing advanced new capabilities within existing products and systems.
Experience with relevant libraries and frameworks (e.g., TensorFlow, LangChain, PyTorch, etc.).
Experience in building and managing large-scale data processing pipelines (e.g., BigQuery).
Experience in Cloud Computing, Machine Learning Operations and in our company Cloud Platform (GCP)/Vertex-AI.
This position is open to all candidates.
 
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16/12/2025
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 at our company, 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.
Your Impact
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:
6+ years of hands-on experience delivering production-grade data science and machine learning projects.
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.
Advantages:
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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15/12/2025
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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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are seeking a Senior Data Scientist to drive the development and implementation of AI-based solutions that solve complex business challenges across our innovative SaaS platform. In this key role, youll work cross-functionally to lead end-to-end AI projectsfrom data exploration to deploymenthelping shape the future of our intelligent products and user experiences.
If youre passionate about machine learning, LLMs, and real-world impact, and thrive in a collaborative, high-velocity environment, wed love to connect
What You Will Do:
Identify AI opportunities to enhance product experiences and operational efficiency.
Collect, analyze, and model diverse financial datasets to develop actionable AI Products.
Own the full AI solution lifecyclefrom problem definition to research, modeling, and hands-on implementation.
Break down complex problems into well-defined, structured work plans.
Collaborate closely with developers, product managers, and other stakeholders to integrate AI solutions seamlessly into products.
Stay up to date with AI, ML, and LLM trends, translating them into practical applications.
Provide technical leadership and mentorship to junior data scientists while balancing immediate delivery with long-term innovation.
Requirements:
Bachelor's degree in Computer Science, Engineering, or a related STEM field; Masters in a data science-related field is a plus.
6+ years in a data science role, ideally within a SaaS or tech-driven company.
Proven experience leading and delivering AI-based solutions to key business problems.
Technical Skills:
Strong skills in data manipulation, visualization, and statistical analysis.
Proficiency with Python and the Python data stack.
Experience with ML frameworks: scikit-learn, XGBoost, PyTorch, TensorFlow.
Advanced SQL and experience working with large datasets.
Experience with LLMs and tools like LangChain, LlamaIndex.
Understanding of backend development architecture patterns an advantage.
Experience working with big data a plus.
Soft Skills:
Strong analytical thinking and independent problem-solving skills.
Excellent communication and collaboration abilities (Hebrew & English).
Self-driven with a high sense of ownership and motivation to deliver impactful solutions.
Creative, critical thinker and continuous learner.
Strong interpersonal skills with a proven ability to mentor and technically lead others.
This position is open to all candidates.
 
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7 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Senior Data Scientist.
As an Applied Researcher, you will play a central role in advancing our AI capabilities -fine-tuning and optimizing large language models to extract legal insights and power intelligent decision-making at scale. Youll explore new model architectures, training paradigms, and evaluation methods to push research from experimentation to impactful, production-ready innovation.
Youll collaborate closely with data scientists, engineers, and domain experts to design and validate research prototypes, integrating cutting-edge methods such as model distillation, retrieval-augmented generation (RAG), and knowledge-graphbased reasoning.
Responsibilities:
Design and evaluate new model architectures, training objectives, and loss functions that enhance generalization and domain adaptation.
Research and innovate in areas such as model compression, knowledge distillation, and retrieval-augmented generation (RAG) to improve inference efficiency and interpretability.
Publish and present innovative findings internally and externally to advance the organizations leadership in applied AI research.
Collaborate cross-functionally with engineering, product, and data science teams to transition research prototypes into scalable production systems
Drive measurable impact by translating research innovations into deployable solutions that improve model performance, scalability, and user outcomes.
Contribute to the research community through publications, open-source contributions, or collaborations, showcasing thought leadership in LLM fine-tuning and applied AI innovation.
Requirements:
M.Sc. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
5+ years of experience in applied AI research.
Strong programming skills, particularly in Python and ML frameworks (e.g., TensorFlow, PyTorch).
Solid understanding of NLP.
Experience with modern Large Language Models (LLM) and generative models.
Proven expertise in designing, implementing, and evaluating deep learning models in a production environment.
Excellent communication, mentoring, and collaboration skills.
A strong problem-solving mentality and a proactive demeanor, driven by the ambition to deliver solutions with real-world impact
Advantages:
Prior experience leading or working within cross-functional teams that include data scientists, operations research specialists, and software engineers.
Passion for learning and stay informed with State of the Art progress
This position is open to all candidates.
 
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09/12/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Senior Data Scientist.
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 :
*Ad-tech industry experience.
*Time series modeling and analysis.
*Implementing Deep Learning models using Tensorflow/pyTorch.
*Bayesian and MMM modeling/regression.
*Recommendations systems.
*Gen AI/LLM/Agentic AI.
*Optimization: Markov decision process, integer programming.
This position is open to all candidates.
 
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21/12/2025
Job Type: Full Time
We're looking for a Senior Data Scientist to join a group that specializes in AI Security and Safety, within Networking Cybersecurity. As a Senior Data Scientist in Networking Cybersecurity youll have the opportunity to take an active part in the research and development of our companys world-class networking and data center products. This role involves creative problem solving alongside security and engineering teams, and is key for the continued success of AI networking security.
What youll be doing:
Leading e2e development of AI solutions for security and safety, including implementing and improving agents, models and algorithms.
Collaborating closely with software and hardware engineers on new and diverse AI-driven solutions that include deep learning, vision, LLMs, VLMs, agents, time series and classic ML.
Optimizing and fine-tuning agents and models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.
Measuring and benchmarking performance to drive improvements.
Creating efficient flywheels for feedback and improvement.
Participating in developing and reviewing code, design documents, use case reviews, and test plan reviews.
Requirements:
MS/PhD with expertise in Computer Science, Computer Engineering, Electrical Engineering or related field with a focus on Deep Learning or Machine Learning.
4+ years of experience in deep learning and machine learning in a production environment. Experience with developing agents and agentic workflows.
Excellent programming skills in Python with software design fundamentals.
Hands-on experience with deep learning development frameworks and libraries (e.g. TensorFlow, PyTorch).
Experience with large scale production systems and pipelines, with a track record of developing production-grade models
Strong algorithm development experience, with knowledge of inference optimization techniques such as model fine tuning, distillation, quantization, pruning.
Background with algorithms including zero/few-shot learning, self-supervised and unsupervised learning, synthetic data creation.
Experience with VLMs, LLMs, agents, RAG and MCP.
You are proactive, take full ownership of your deliverables, have a can-do approach, and are excited to learn, explore and apply your skills and creativity to some of the most challenging and rewarding problems in the field.
Ways stand out from the crowd:
Strong software development experience
Familiarity with GPU based technologies like CUDA, CuDNN and TensorRT.
Experience with tools for data processing and storage (e.g. Apache Spark, Hadoop, SQL databases, NoSQL databases).
Security and networking background, with knowledge of security protocols, network architectures, firewalls, intrusion detection systems, and other relevant security and networking concepts.
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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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a Senior Data Scientist who thrives on exploring complex data sets, extracting meaningful insights, and building high-quality, real-time data products to enhance our cutting-edge technologies. At Bigabid, we value talent and collaboration, fostering an environment where employees support one another to grow both individually and as a team. Our work is rewarding, challenging, and fun all while exceeding our clients expectations.

Responsibilities:

Deliver end-to-end machine learning models and impactful research.
Play a critical role in model development, prototyping, offline validation, production implementation, and online testing of our suite of ML products
Analyze vast and complex data sets to identify meaningful patterns and engineer features for ML models.
Design, build, tune, and interpret ML models by applying the scientific method and leveraging cutting-edge techniques.
Perform data manipulation, cleaning, validation, and cross-domain research to enrich insights and solutions.
Generate creative research ideas and actionable insights to address challenging business and technical problems.
Collaborate with product managers and engineering teams to align on problem definitions, trends, and solution opportunities.
Requirements:
At least 3 years of proven experience in data science or machine learning, with a proven track record of delivering production-grade ML solutions.
Proficiency in Python and commonly used libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
Strong knowledge of SQL and experience with querying large datasets.
Familiarity with data pipelines, ETL processes, and data QA.
Strong analytical skills with the ability to translate complex data challenges into actionable solutions.
Deep understanding of ML algorithms and techniques.
Experience in feature engineering, model evaluation, and hyperparameter tuning.
Team player, problem-solver, responsible, delivery-oriented.
Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related field.
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 Data Science Manager to work on incredibly interesting projects as we take our personalization capabilities to the next level. You will focus on leading the team that are developing and advancing ML/AI across our platforms, researching and investigating new machine learning applications within the company, and improving pre-existing models.

Role & Core Responsibilities
Lead, mentor, motivate and inspire a small team of Machine Learning Engineers & Data Scientists.
Own the model development and release process across all products and internal platforms, including both OptiX and .
Manage the cloud-hosted modelling environment.
Operationalize models as APIs working in real-time and batch environments.
Monitor production models, ensuring data quality and model performance.
Develop predictive machine learning models for classification, ranking, and personalization purposes, utilizing multi-modal data including images and text.
Leverage LLMs and other cutting-edge technologies to enhance product capabilities.
Collaborate closely with product and development teams to define and prepare new ML applications.
Analyse performance and continuously improve scoring processes for hosted models.
Requirements:
Minimum 3 years of managing or leading ML or Data Science teams
Strong programming skills and a good understanding of software engineering principles and clean code practices.
Expert-level knowledge of Python for machine learning and data manipulation (pandas, NumPy).
Advanced experience with SQL for data querying and manipulation.
Experience with Git, Bash, Docker, and machine learning pipelines.
Experience with open-source machine learning libraries like scikit-learn, PyTorch, TensorFlow, and SciPy.
Hands-on experience working with multi-modal data (images, text) and relevant ML techniques.
Experience with cloud technologies and data storage solutions, including Snowflake.
This position is open to all candidates.
 
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17/12/2025
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
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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