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Location: Tel Aviv-Yafo
Job Type: Full Time
As a Data Scientist at our company, you will shape the future of people-facing and business-facing products we build across our entire family of applications. By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining our company, you will become part of a analytics community dedicated to skill development and career growth in analytics and beyond.
Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and our company. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.
Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist, Product Analytics Responsibilities
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
Requirements:
Minimum Qualifications
Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
2+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment design, communicating actionable insights]
Preferred Qualifications
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Master's or Ph.D. Degree in a quantitative field
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
As a Data Scientist at our company, you will shape the future of people-facing and business-facing products we build across our entire family of applications. By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining our company, you will become part of an analytics community dedicated to skill development and career growth in analytics and beyond.
Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and our company. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.
Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
This is a short term employment (STE) position.
Data Scientist, Product Analytics STE 18 Month Contract Responsibilities
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
Requirements:
Minimum Qualifications
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining our company
Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment design, and communicating actionable insights]
Preferred Qualifications
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.
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
we are seeking a Staff Data Scientist to drive product strategy and decision-making across our family of applications, including our company, Instagram, Messenger, WhatsApp, and our company's emerging platforms. In this role, you will operate as a company-level expert in product analytics, partnering with Product, Engineering, and cross-functional leadership to translate complex, large-scale behavioral data into actionable insights that shape the experiences of billions of people worldwide. You will lead the design of rigorous analytical frameworks, advance forecasting and predictive modeling capabilities, and influence the highest-priority product investments through data-driven storytelling and strategic recommendations.
Data Scientist, Product Analytics Responsibilities
Lead the design and execution of complex analytical projects across product areas, applying advanced statistical methods, causal inference, and experimentation to evaluate product impact at scale
Develop and maintain sophisticated predictive models and forecasting frameworks to inform product roadmaps, goal setting, and resource prioritization
Define and evolve success metrics and measurement strategies for product initiatives, ensuring goals accurately reflect user and business value
Identify and size high-impact product opportunities by synthesizing behavioral data, qualitative signals, and business context across multiple data sources
Partner with Product and Engineering teams to design and analyze large-scale A/B tests and feature rollouts, translating results into clear recommendations for product direction
Build scalable, self-service data pipelines and visualization interfaces that enable cross-functional teams to explore and act on product performance data independently
Communicate complex analytical findings to diverse audiences including product leadership and executives through concise, compelling data narratives and presentations
Contribute to functional data science strategy by proactively identifying methodological gaps, championing analytical best practices, and setting goals across teams
Mentor other data scientists on analytical design, hypothesis formulation, and quantitative modeling, elevating the overall quality and rigor of the team's work
Collaborate with Data Engineering and Research partners to improve data infrastructure, eliminate bias in data collection, and ensure analytical outputs accurately represent the populations of interest.
Requirements:
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
A minimum of 6 years of work experience in analytics (a minimum of 4 years with a Ph.D.)
Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
Experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R)
Preferred Qualifications
Master's or Ph.D. Degree in a quantitative field
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience in adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a Senior / Principal Security Researcher to join our innovative Security ML Team. Sitting at the forefront of endpoint protection, our team solves complex security challenges by applying advanced Deep Learning techniques, including resource-efficient Small Language Models (SLMs) and specialized ML algorithms to massive datasets, delivering groundbreaking security solutions directly into production.
In this role, you will serve as the core security domain expert within a multidisciplinary team of Researchers and Data Scientists. Working directly with complex malware behaviors, static file attributes, and massive telemetry, you will translate deep security insights into actionable datasets, automated rule-generation pipelines, and advanced feature sets.
Beyond classical security analysis, your research will directly drive, evaluate, and refine the AI models and detection logic that protect millions of endpoints worldwide, making this an ideal role for a security expert looking to apply data-driven methodologies and broaden their technical arsenal with AI/ML.
If you are a forward-thinking Security Researcher eager to autonomously drive high-impact research and shape the next generation of intelligent security modeling, we want to hear from you.
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:
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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הגשת מועמדותהגש מועמדות
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
2 ימים
חברה חסויה
Location: Tel Aviv-Yafo and Netanya
Job Type: Full Time
at the company, were reinventing devsecops to help the worlds greatest companies innovate. our team of industry-leading software security experts is a true pioneer, constantly pushing the boundaries with original research and technological innovation. we are a special place with a unique combination of brilliance, spirit, and just all-around great people. thousands of customers, including the majority of the fortune 100, trust the company to manage, accelerate, and secure their software delivery from code to production - a concept we call liquid software. wouldn't it be amazing if you could join us on our journey?
we're looking for an experienced data Scientist to join our ds team under the CIO office. the key responsibilities are to provide our internal business partners with robust, reliable, and innovative ai / ml / ds solutions for their business problems, providing direct value to the business. an ideal candidate blends solid data science foundations, proven backend engineering skills, and a demonstrated track record building real-world systems. you should be able to take an idea (or propose one) and independently work from poc to production mvp, know when to move fast and when to slow down, while continuously communicating with stakeholders as their trusted partner, and enjoy collaborating with members of the team.
as a data Scientist at the company you will...
listen to our business stakeholders and their challenges and propose data -driven solutions to problems using ml models and advanced statistical methods. for example, a classifier for a rare event that will trigger business action, or a time series predictor in a noisy environment that will affect business planning.
work side-by-side with business units to gather requirements, collaborate with cross-functional teams, iterate on the process of data research, and deliver to production.
own ml models full lifecycle and monitor existing models, while continuously improving our automation pipeline from a ds perspective.
rapidly prototype new ideas (e.g., custom rag-based solutions, agentic processes, knowledge graphs) based on applied research or academic concepts, and if successful, productionize.
be a primary contributor for the semantic engine component of the organizational brain platform and be able to serve as a technical authority in that domain.
look for improvement and innovation opportunities with business impact, and be a source of high-quality ideas.
be an independent contributor with excellent communication skills, both in writing and verbally.
Requirements:
to be a data Scientist at the company you need
msc. in Computer Science or equivalent quantitative field (e.g., mathematics, statistics, engineering, economics), with a focus on Machine Learning.
at least 5 years of proven industry experience in ds/ml roles, with a proven record of developing ml models from initiation to production.
strong foundations in data science and Machine Learning, including how to evaluate model outputs & performances.
ability to think scientifically and investigate problems using messy, ambiguous, or incomplete data and communicate results clearly and efficiently.
proficient hands-on experience with the Python ml/ DL ecosystem.
hands-on experience in implementing and evaluating custom rag systems with a deep understanding of how they work, how to evaluate their performance, and how to improve them.
ability to serve as a technical expert for rag and complex agentic workflows such as deep research and wide search (almost complete recall, high precision, high scale, low latency, low cost).
proficient hands-on experience with databases.
experience in time-series forecasting.
proven ability to work independently; delivery-oriented.
team player with effective interpersonal skills. manage relationships with key partners across different functions. able to collaborate with remote teams effectively.
excellent spoken and written english.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Research Data Scientist II, Waze
About the job
The Personalized Experience team aims to give Waze drivers personalized, hyper-local, contextual and timely routing experience. The team contributes to the Personalized Navigation squad and more. The team members are embedded within the Waze development Squads. We develop and own Machine-Learning models from ideation to production, including research, production grade pipelines, feature engineering, experimentation, monitoring and dashboards, inspection and debugging.
The team works closely with the product team, helping to shape the requirements and success metrics. The team works closely with the Backend teams, integrating the models, ensuring a feedback loop to enrich the models, triage and solve users complaints, leading and guiding experimentation and more.
Waze is where people and technology meet to solve transportation challenges. It's a platform that empowers users to contribute road data and edit Waze maps to improve the way we move about the world. As the social navigation pioneer, Waze leverages mobile technology and a passionate global community to redefine expectations of todays maps.
Responsibilities
Feature engineering, model evaluation and error analysis, data processing and pipelines, model tuning, monitoring and dashboards.
Work with product managers, software developers and quality analysts to define requirements, formulate success metrics and lead experimentation.
Use data to help products to shape the future of Waze and drive innovation. Provide insights on user behavior and help engineers and quality analysts detect and solve complex problems.
Utilize Cloud Platform, Vertex AI, Python, Scikit-learn, TensorFlow, Airflow/Composer, Python and Looker tools.
Requirements:
Minimum qualifications:
Master's degree in Statistics, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
2 years of experience using data engineering and machine learning to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis or a PhD degree.
Preferred qualifications:
3 years as an applied ML engineer applying advanced deep learning models and classic machine learning to solve real-world problems in scale.
Experience with relevant libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch, etc.).
Experience in building and managing large-scale data processing pipelines to generate features and feed advanced dashboards and analyses.
Experience in Cloud Computing and ML Operations.
Ability to think critically and creatively to navigate complex technical hurdles.
Ability to convey complex information clearly and concisely, both verbally and in writing, with a focus on providing key implications and actionable insights and recommendations.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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דיווח על תוכן לא הולם או מפלה
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
2 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
at the company, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
our unique data and solutions empower thousands of customers globally, including industry giants like google, ebay, and adidas, to make game-changing decisions that drive their digital strategies.
in 2021, we went public on the new york stock exchange, and we continue to reach new heights! come work alongside our teammates across the globe who are bright, curious, practical, and good people.
were looking for a data Scientist to join our r&d department!
why is this role so important at the company?
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 in the company, 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.
so, what will you be doing all day?
your daily responsibilities may include:
working on versatile use cases within a dynamic, fast paced production environment
strategic thinking and problem solving, with a strong business sense
analyzing data from various sources, and turning it into usable input
understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights
initiating newly defined tasks from exploration to proof of concept
owning the finalization of defined tasks (from poc to deployment in production)
collaborating with data engineers to make sure we reach the desired production results
owning the ongoing validation process for existing metrics
collaborating and brainstorming best practices with other teams within the r&d department
deploying machine-learning models into production for an ongoing use.
דרישות:
this is the perfect job for someone who:
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)
why youll love being a team member:
youll actually love the product you work with: our customers arent our only raving fans. when we asked our employees why they chose to come work at the company, 99% of them said the product. imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.
youll find a home for your big ideas: we encourage an open dialogue and empower employees to bring their ideas to the table. youll find the resources you need to take initiative and create meaningful change within the organization.
we offer competitive perks & benefits: we take your well-being seriously, and offer competitive compensation packages to all employees. we also put a strong emphasis on community, with regular team outings and happy hours.
you can grow your career in any direction you choose: interested in becoming a vp or want to transition into a different department? whether its career week, personalized coaching, or our ongoing learning solutions, youll find all the tools and opportunities you need to develop your car המשרה מיועדת לנשים ולגברים כאחד.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8895180
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
2 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
at the company, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
our unique data and solutions empower thousands of customers globally, including industry giants like google, ebay, and adidas, to make game-changing decisions that drive their digital strategies.
in 2021, we went public on the new york stock exchange, and we continue to reach new heights! come work alongside our teammates across the globe who are bright, curious, practical, and good people.
a day-to-day role as a team manager at the company includes:
managing a multidisciplinary team of data engineers, data scientists, and data analysts.
leading the development of advanced and creative solutions for complex technical challenges in areas like Big Data and Machine Learning.
collaborating closely with data extraction, platform, and product teams.
communicating with business stakeholders and gathering feedback from customers.
hiring new team members and developing the groups structure.
playing a crucial role in shaping Product Strategy within a startup-like environment.
day-to-day, the team you will lead will:
develop statistical and Machine Learning algorithms on large-scale data to estimate metrics, create features, and deliver insights.
own end-to-end data processes and pipelines, from research and proof of concept to production.
collaborate with product and r&d teams to plan and deliver best-in-class digital insights.
design, validate, and monitor ongoing processes to ensure quality and reliability.
identify, analyze, and monitor new raw data sources as needed.
about the r&d team
as part of our r&d team at the company, you'll have the opportunity to work on challenging algorithmic problems with no play book solution, solve problems for real customers, and work alongside the best engineers and scientists in the industry.
why youll love being a team member:
youll actually love the product you work with: our customers arent our only raving fans. when we asked our employees why they chose to come work at the company, 99% of them said the product. imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.
youll find a home for your big ideas: we encourage an open dialogue and empower employees to bring their ideas to the table. youll find the resources you need to take initiative and create meaningful change within the organization.
we offer competitive perks & benefits: we take your well-being seriously, and offer competitive compensation packages to all employees. we also put a strong emphasis on community, with regular team outings and happy hours.
you can grow your career in any direction you choose: interested in becoming a vp or want to transition into a different department? whether its career week, personalized coaching, or our ongoing learning solutions, youll find all the tools and opportunities you need to develop your career right here.
diversity isnt just a buzzword: people want to work in a place where they can be themselves. we strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. we are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience.
דרישות:
ideal candidate profile:
passionate about data and problem-solving.
holds an m.sc. or ph.d. in Computer Science, mathematics, physics, engineering, or a related field.
has 3+ years of experience developing Machine Learning and statistical algorithms in a production environment.
brings 1+ years of people management experience - must
strong experience with Big Data and ml production pipelines (a strong advantage).
familiarity with the web, internet, app, or online industry (an advantage).
excellent interpersonal communication ski המשרה מיועדת לנשים ולגברים כאחד.
 
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הגשת מועמדותהגש מועמדות
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11/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an experienced Applied Data Scientist with expertise in building agentic systems and autonomous agents to join one of our R&D. You will be at the core of transforming our supply chain solutions into a fully agentic platform - designing and building agents that autonomously generate analytical pipelines, orchestrate multi-step reasoning, and resolve complex logistics challenges for our customers. You will combine strong machine learning and deep learning expertise with the ability to architect and implement production-grade agentic systems, working closely with engineering, product, and domain experts to push the boundaries of what autonomous AI can do in supply chain.
Responsibilities:
Design and build autonomous agentic systems that generate, configure, and execute analytical pipelines to solve supply chain challenges end-to-end
Architect multi-agent workflows with planning, tool use, memory, and feedback loops - enabling agents to reason, adapt, and improve over time
Develop and integrate ML and deep learning models (e.g., predictive models, anomaly detection, demand forecasting) as core capabilities within agentic pipelines
Research and apply state-of-the-art techniques in agentic AI, LLM orchestration, and multi-agent systems to production use cases
Translate complex logistics and supply chain challenges into agent-based problem formulations, collaborating closely with product and domain experts
Define and implement rigorous evaluation frameworks for agent performance: correctness, reliability, robustness, and edge-case handling
Collaborate with software engineers to productionize agentic solutions - including testing, monitoring, versioning, and iterative improvement
Contribute to team practices: reproducible code, experiment tracking, documentation, and knowledge sharing
Requirements:
4+ years of experience in applied data science or ML in a product environment, with demonstrated experience building agentic systems or autonomous agents
MSc in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field (or equivalent practical experience)
Proven track record designing and implementing multi-step agentic pipelines, including LLM-based agents, tool use, planning loops, and memory mechanisms
Hands-on experience with agentic frameworks such as LangChain, LangGraph, AutoGen, or equivalent
Strong Python coding skills; familiar with Spark for large-scale, distributed data processing
Experience with LLM APIs (e.g., OpenAI, Anthropic, Bedrock, open-source models) and prompt engineering for agentic use cases
Experience performing rigorous model evaluation (baselines, cross-validation, error analysis) and defining evaluation strategies for agent behavior
Strong communication and collaboration skills; able to work across engineering, product, and supply chain domain experts and iterate fast
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8851869
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דיווח על תוכן לא הולם או מפלה
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שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
07/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Data scientist Expert to join us and spread the power of our company. As a Data Scientist you will be responsible for driving research and development of autonomous AI agents and LLM-powered systems at our company. You will work closely with cross-functional teams to explore, innovate, and implement AI-driven solutions to tackle emerging threats, examine cloud security features, and enhance the companys security posture.
Responsibilities
Lead applied research on AI agents and LLM-driven features in the company platform - from autonomous threat investigation agents to AI-powered security operations workflows.|Cover a range of features - from leveraging LLMs to enhance customer investigation experience to novel usage of AI for cloud security.
Collaborate with engineering teams to design, build, and maintain production pipelines.
Work closely with the Security Research and Product teams to define research goals.
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments.
Stay abreast of cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions' accuracy, efficiency, and scalability.
Requirements:
5+ years of experience in leading data science and machine learning projects, with significant hands-on work building LLM-based applications or AI agents.
Deep practical experience with LLMs (prompt engineering, fine-tuning, model selection, and understanding trade-offs across providers and model families).
Knowledge of programming languages that are used in AI research, such as Python, and experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch).
An M.S. or Ph.D. degree in computer science, statistics, or related field OR equivalent work experience.
Preferred qualifications
Experience with distributed cloud systems and hands-on familiarity with cloud-native architectures at scale.
Strong knowledge of deep learning models and common model architecture such as transformer models.
Knowledge of cybersecurity principles, attack vectors, and defense mechanisms.
Excellent communication (both written and verbal) and presentation skills.
Ability to work independently in a fast-paced environment and come up with creative solutions to challenging problems.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8847779
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שירות זה פתוח ללקוחות VIP בלבד
סגור
דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
1 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a Data Scientist to join our team. As a Data Scientist at Vega, youll be a key member of our AI team, designing, building, and deploying cutting-edge AI systems that leverage large language models (LLMs), unstructured data, and advanced ML techniques. Youll be instrumental in bringing AI from research to real-world production, delivering high-impact features that drive our security platform.

In this role, you'll have a unique opportunity to solve complex problems, work with large scale data and be part of the core team that shapes the future of AI in the company.


WHAT YOU WILL DO
Design and develop end-to-end AI solutions, from data ingestion and modeling to deployment and observability.
Build and fine-tune LLM-based applications to tackle complex cybersecurity challenges.
Own the full ML lifecycle - from ideation and experimentation to production readiness.
Collaborate with product, engineering, and security teams to turn AI research into user-facing features.
Work with large-scale unstructured data (e.g., logs, threat intel, alerts) to extract meaningful insights.
Evaluate and optimize AI system performance, scalability, and reliability.
Contribute to core architectural decisions related to AI and ML infrastructure.
Requirements:
WHAT YOU WILL BRING
4+ years of professional experience in ML/AI engineering.
Hands-on experience working with LLMs and building AI agents in production environments.
Strong understanding of text classification, ranking, and evaluation in NLP systems.
Proficiency in Python and modern ML frameworks.
Deep knowledge of deploying and maintaining AI systems at scale.
Experience with cloud platforms, particularly AWS.
Experience working independently in fast-paced, mission-driven environments.
Bachelors or Masters degree in Computer Science, Data Science, or a related field.


NICE TO HAVE
Experience fine-tuning LLMs for domain-specific or task-specific use cases.
Background in cybersecurity applications (e.g., threat detection, incident response, log analysis).
Familiarity with agent-based architectures and autonomous systems.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8898181
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שירות זה פתוח ללקוחות VIP בלבד