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לפני 4 שעות
חברה חסויה
Location: Netanya and Tel Aviv-Yafo
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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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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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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11/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an experienced Applied AI/ML 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 productize 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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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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לפני 3 שעות
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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22/10/2026
Location: Netanya
Job Type: Full Time
We are seeking a talented and self-driven experienced Data Scientist to help advance our machine learning capabilities.This is a key role for someone passionate about leveraging machine learning to solve complex, real-world problems and deliver measurable business impact.
Responsibilities:
Develop and implement state-of-the-art econometric and machine learning models for demand forecasting.
Conduct research and experimentation to evaluate novel approaches for improving accuracy, robustness, and scalability.
Collaborate with cross-functional teams (including product, data engineering, MLOPS and Platform) to deploy ML systems in production.
Clearly communicate complex technical findings to non-technical stakeholders, including product leaders and executives.
Requirements:
5+ years of hands-on experience in data science and machine learning with a proven record of leveraging modeling into business outcomes.
Proficiency in Python and its ML/data stack (e.g., PyTorch or TensorFlow, Pandas, NumPy, Scikit-learn).
Expertise in time-series forecasting, ideally Deep Learning based, preferably in demand prediction or related areas.
Feature engineering, feature importance testing, explainability based experience.
Masters or PhD in Computer Science, Machine Learning, Statistics, Engineering or a relevant field.
Solid understanding of ML production workflows (versioning, testing, reproducibility, and deployment).
Excellent communication and collaboration skills.
Nice to have:
Publications in top-tier, peer-reviewed ML/AI venues (e.g. ICLR, ICML, NIPS, etc.)
Experience applying ML in domains like finance, trading, revenue management etc.
Familiarity with cloud based solutions on GCP platform (e.g., Vertex AI, PubSub, Cloud Run Functions).
Strong data visualization and exploratory data analysis skills.
Familiarity with code optimization, containerization (e.g., Docker), CI/CD, or cloud-native architectures.
Participation in competitive programming or data science challenges (e.g., Kaggle).
This position is open to all candidates.
 
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22/10/2026
חברה חסויה
Location: Netanya
Job Type: Full Time
We're looking for a Data Scientist to help us grow our advanced analytics team's capabilities. The ideal candidate is a data scientist with a relevant experience who is self-driven, motivated, independent and sharp
Design and operationalize causal-uplift measurement frameworks to quantify the incremental impact of pricing models
Lead data discovery and translate complex multidimensional data into actionable insights related to the pricing algorithms and their outcomes
Conduct research and experimentation to elaborate novel approaches to uplift measuring and a/b testing
Collaborate with revenue managers, data analysts, data engineers in order to encode airline business logic into modeling and technical pipelines
The Insights & Decision Science (IDS) team is where data meets storytelling. We take the hard work of our AI pricing engine and translate it into something airlines can actually see, trust, and act on - think rigorous statistical analysis with a human touch. If a number moves, we explain why. If a client has a question, we have the answer (and the chart to back it up).
Requirements:
* You have at least 5 years of hands-on data analytics & science experience with proven record of leveraging modeling into business insights
* You are proficient in Python (typical data analytics and machine learning stack: pandas, numpy, scikit, statsmodels)
* You know to assess the performance and impact of the ML-powered system from business environments perspective
* You have great communication and storytelling skills to both technical and non-technical audiences (ability to present to C level stakeholders executives as well)
*You are experienced in translating complex client requirements into actionable insights, and ability to present findings and strategies to stakeholders
*You are able to provide and recommend innovative solutions and approaches to non-trivial challenges
*Youre a team player, ready to help others meeting aggressive timelines and motivate the team to meet the product deadlines
*B.SC or Masters degree in Economy / Statistics / Math or similar (Phd is a plus)
You are proficient in using SQL (BigQuery / Dataform / GCP experience is a plus) and git
Great if you have them:
Domain knowledge in following industries: airlines, transportation, logistics or vacations
Experience with causal inference, uplift modeling, anomaly detection or pricing algorithms
Knowledge in mathematical optimization.
This position is open to all candidates.
 
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לפני 3 שעות
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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8895180
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
29/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're hiring an exceptional Applied AI Scientist to join our team!
In this role, you'll design and deploy enterprise-grade AI agents that drive real business impact across our core functions - Sales, Marketing, Customer Success, Customer Support, Risk, and Finance. You'll be building agentic systems that execute complex, multi-step business workflows end-to-end. The ideal candidate is a hands-on builder with deep AI expertise who thrives on turning complex business problems into reliable, production-grade AI systems.
Why join us?
We are the AI-powered platform for finance automation, elevating how finance teams operate in the global economy. We empower our customers to scale faster and smarter by removing the complexities of doing global business and accelerating their finance operations efficiency. Our platform provides a comprehensive suite of finance automation solutions designed for mid-market businesses across accounts payable, global payouts, procurement, employee expenses, corporate cards, supplier management, tax compliance, and treasury. Our partners with leading financial institutions such as Citi, Wells Fargo, J.P. Morgan, and Visa, enabling over 5,000 global companies to efficiently and securely pay millions of suppliers and payees across 200+ countries and territories, in 120 currencies.
In This Role, You Will Be Responsible For:
Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions - including lead qualification and outreach (Sales & Marketing), churn reduction(Customer Success), and Ticket deflection (Support).
Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails, and audit trails suited for an enterprise fintech environment.
Knowledge Systems: Building and maintaining RAG pipelines that ground agents in our proprietary knowledge - product documentation, customer data, financial records, and internal playbooks - using vector databases, hybrid search, and re-ranking.
Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback.
Cross-Functional Collaboration: Partnering with stakeholders across the company to define agentic use cases, translate business requirements into technical features, and deliver products that create measurable ROI - from data preprocessing through product deployment.
Requirements:
Bachelors degree in Computer Science, Engineering or a related field, with focus on AI.
2.5-5 years of hands-on experience in AI/ML engineering, ideally within the fintech industry or a related sector, with a track record of deploying AI agents or agentic workflows in production
Proficiency in Python and SQL for data manipulation, analysis, and AI system building.
Deep experience with LLMs and prompt engineering, including systematic evaluation of enterprise AI solutions
Experience with building RAG systems and Conversational chatbots - Advantage
Experience with cloud platforms (AWS preferred) for deployment and AI-Ops practices.
Analytical Mindset: You bring strong statistical reasoning and business acumen, with the ability to critically assess AI solutions and their real-world impact.
Project Management: You can manage and prioritize multiple tasks, balancing short-term and long-term goals to deliver timely, high-impact results.
This position is open to all candidates.
 
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
05/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Fraud Data Scientist, you will be at the front lines of protecting our ecosystem from sophisticated financial fraud and abuse. You will join a high-impact team operating in a data-rich, high-frequency environment where seconds matter.

In this role, you will take ownership of the end-to-end machine learning lifecycle-from uncovering complex fraud patterns to deploying highly scalable, real-time models into production. You will collaborate closely with Engineering, Product, and Risk Operations to build robust defenses that balance strict security with a seamless user experience.

What You Will Be Doing
Model Development & Deployment: Design, train, and deploy advanced machine learning models (e.g., gradient boosting, anomaly detection, graph networks) to detect and mitigate fraud in real-time.

Production Ownership: Take full ownership of putting models into production systems, ensuring low-latency execution and high reliability.

Agentic Workflows: Research, build, and implement Agentic flows and LLM-driven orchestration to automate multi-step fraud decisioning, logic routing, and investigation paths.

Adversarial Analysis: Conduct deep-dive exploratory analysis on massive datasets to identify emerging fraud vectors, loops, and coordinated attacks.

Feature Engineering: Build and optimize real-time streaming and batch features to improve model signal and precision.

Experimentation & Monitoring: Design rigorous shadow-testing and A/B testing frameworks for new models. Set up continuous monitoring pipelines to catch data drift and performance degradation early.
Requirements:
Experience: Minimum of 3+ years of applied Data Science experience with a proven track record across fintech domains, with experience in fraud, risk, or payments preferred.

Production Expertise: Proven, hands-on experience deploying and maintaining machine learning models in high-traffic production environments is required, with real-time experience preferred.

Data Science Tech Stack: Expert-level Python programming (Pandas, NumPy, Scikit-Learn, XGBoost/LightGBM) and exceptional SQL skills for querying massive, complex datasets.

Data Environment: Robust experience working within cloud data environments like Databricks, and querying/manipulating large-scale datasets in data warehouses like BigQuery.

Orchestration & MLOps: Practical experience with machine learning lifecycle and orchestration tools, such as MLflow and Airflow.

Business-Impact Focus: A strong ability to translate raw model results into real-world business outcomes. You know how to balance technical model performance (precision/recall) with financial impact, operational realities, and the user experience.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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