לוח משרות דרושים Data Scientist בתל אביב יפו

As a data scientist, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support our business. Together with other Data Engineers and Product Managers, you will translate the voice of our customer into best-in-class digital insights.

Responsibilities:
Analyzing data from various sources and transforming it into actionable insights that directly drive business growth.
Building machine learning algorithms for bidding - using classification and clustering to optimize campaign performance.
Leveraging artificial intelligence (GenAI) techniques to query data for intelligent insights and automated decision-making processes, unlocking hidden value from data.
Leading tasks from exploration to proof of concept (POC) and ensuring smooth transitions to scalable production environments.
Collaborating with data engineers and product managers to ensure the delivery of high-quality production results.
Creating and owning key metrics while developing new models and capabilities for innovative product solutions.
Optimizing scalability and ensuring the performance of data pipelines and ML models, handling large-scale, dynamic datasets.

Were looking for a Data Scientist to join our Data Labs department, which specializes in professional services for our super premium customers.
This role will report to our Datalabs Team Manager in the, R&D.
Why is this role so important?
We are a data-focused company, and our unique AI and machine learning capabilities are the center of our business.
As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions
As a data scientist in the Datalabs team, 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. The Datalabs departments customer centric and business-oriented nature also means you will be supporting a team of data analysts and consultants who interact directly with customers. Together with them, you will translate the voice of these customers into best-in-class digital insights.
So, what will you be doing all day?
Your role as part of the R&D department, and as part of the Datalabs team means 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.

Our Algorithms team tackles the companys most pressing ML challenges, addressing real-world problems that have a direct impact on success. As part of this group of experienced, you will help establish a new research area within the company, uncovering insights and detecting anomalies that enhance the products overall performance.



What You'll Do:

End-to-end ownership: Identify and frame ambiguous business problems, set measurable success criteria, prototype solutions, and deliver production-ready algorithms.
Algorithm design: Develop and refine methods across clustering, graph learning, causal inference, time-series modeling, and optimization to enable new product capabilities.
Workflow deep dive: Work closely with Product teams to analyze current pipelines, map data and decision flows, and identify inefficiencies and opportunities for improvement.
Real-world data modeling: Explore, structure, and model construction-related data, including progress histories and schedules. Build robust datasets and meaningful features.
Collaborate with a dynamic team of talented researchers driving digital transformation in the construction industry.

Data-driven insights. Help identify new products and opportunities for the company in diverse domains.
Develop Machine Learning models. Define requirements & combine data from a wide set of sources to develop ML/DL models that will automate and speed up our business processes.
End to end model management. Conduct in depth research, POC, write production-grade code and implement it (all the way to production) using our MLOps Infra to solve a diversity of business problems

Required Data Science Engineer
About the Team
Our team focuses on delivering cutting-edge, AI-powered automated application security features within our ASPM product. We are a dynamic, agile team emphasizing seamless transitions from design to production, deployment, and ongoing monitoring. We excel at operationalizing machine learning, data science, and AI solutions into robust, secure, and high-performance security capabilities.
What You Will Do
Be a core member of a cross-functional AI innovation team, collaborating closely with software engineers, MLOps specialists, and analysts.
Design, build, and optimize end-to-end AI-driven features - from experimentation and model training to validation and deployment.
Develop production-grade code (Python and C#) to integrate advanced models and data-driven capabilities into our core products.
Continuously evaluate model performance and data quality in real-world settings, proactively driving improvements, retraining, and robust monitoring.

We are seeking a highly skilled Senior Networking AI Platform Engineer to join our Applied Networking AI group. In this role, you will help design and develop cutting-edge AI solutions, integrating them seamlessly into a variety of products. Youll collaborate closely with multi-functional teams of data scientists, software engineers, and DevOps professionals to ensure the efficient deployment, monitoring, and optimization of machine learning (ML) models.
As a key contributor, you will drive the entire software development lifecycle-from conceptualization and architecture to implementation and production-while working closely with engineering teams to solve complex problems and help build a successful company practice.
What you'll be doing:
Lead the design, development, and deployment of robust software systems across different platforms and environments
Architect, design, and implement scalable and high-performance software solutions, handling complex requirements and integrating various subsystems
Ensure systems are maintainable, flexible, and well-documented, with an emphasis on performance and security
Adapt to new tools, technologies, and frameworks, and be capable of taking ownership of the development process from conception to deployment
Supply innovative ideas and solutions, driving continuous improvement in both code quality and system efficiency
Develop and maintain scalable infrastructure for handling and deploying security and networking ML models in production, ensuring high availability, scalability, performance.
Design and implement data pipelines to efficiently process and transform large volumes of data for training and inference purposes.
Optimize and fine-tune ML models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.
Collaborate with data scientists and software engineers to operationalize and deploy ML models, including model versioning, packaging, and integration with existing systems.

we are looking for a Fraud Analyst.
As a Fraud Analyst, you will be responsible for the core asset of the company - ensuring the ongoing accuracy and superior performance of what is widely recognized as the industry's leading e-commerce fraud decisioning system. You will be empowered and expected to constantly innovate, devising smart logical and technical solutions to address real and evolving business challenges faced by the world's largest and most sophisticated online retailers, who constitute our primary clientele.
In this capacity, your work will also include some direct engagement with these key customers, providing analytical insights and helping to tailor solutions to their specific needs.
This is a role with significant technical aspects, but prior coding knowledge is not required - we believe the right candidates can learn everything they need to do this job well as part of our training process, and while doing the job.
You will join a dynamic department with a deeply ingrained culture of striving for excellence and being the best in our field. We foster an informal, collaborative environment where your contributions are highly valued. This role offers significant growth opportunities, with clear pathways for advancement in both managerial and senior individual contributor (IC) capacities, allowing you to shape your career based on your strengths and aspirations. Your work will directly influence our product, protect our customers, and help define the future of trust in digital commerce.
What you'll be doing:
Invent, design, implement, and refine our systems decisioning logic in production.
Conduct in-depth research into complex fraud patterns and emerging threats.
Leverage extensive datasets to derive actionable insights and enhance decisioning accuracy.
Develop and automate analytical processes to improve efficiency and scale our capabilities.
Collaborate with Data Science, Engineering, and other cross-functional teams to drive platform improvements.

we are looking for a Data Researcher.
As a Data Researcher, you will be responsible for the core asset of the company - ensuring the ongoing accuracy and superior performance of what is widely recognized as the industry's leading e-commerce fraud decisioning system.
You will be empowered and expected to constantly innovate, devising smart logical and technical solutions to address real and evolving business challenges faced by the world's largest and most sophisticated online retailers, who constitute our primary clientele.
In this capacity, your work will also include some direct engagement with these key customers, providing analytical insights and helping to tailor solutions to their specific needs.
You will join a dynamic department with a deeply ingrained culture of striving for excellence and being the best in our field.
We foster an informal, collaborative environment where your contributions are highly valued.
This role offers significant growth opportunities, with clear pathways for advancement in both managerial and senior individual contributor (IC) capacities, allowing you to shape your career based on your strengths and aspirations. Your work will directly influence our product, protect our customers, and help define the future of trust in digital commerce.
What you'll be doing:
Invent, design, implement, and refine our systems core decisioning logic and models in a live production environment.
Conduct in-depth research into complex fraud patterns, adversarial networks, and emerging global threats.
Leverage rich datasets to derive actionable insights, develop new system components, and advance our feature engineering processes.
Develop, prototype, and automate new tools and processes to enhance the precision and scale of our systems.
Collaborate with a world-class team of Data Scientists, Analysts, Researchers, and Engineers to develop the next generation of AI technology.

We are seeking a talented and mission-driven Data Scientist to join our growing Data organization. As a Data Scientist, you will own complex, high-impact projects end-to-end from research and experimentation through production deployment and monitoring.
You will develop and refine the machine learning models that power our personalization engine, engagement optimization, and clinical insights. Your work will directly shape the way millions of people experience their healthcare and improve their well-being.
Responsibilities
Lead end-to-end development of machine learning models, from research, data exploration, and feature engineering to training, validation, deployment, and post-production monitoring.
Partner closely with product managers, data engineers, and software engineers to translate strategic questions and user behavior patterns into measurable, data-driven solutions.
Research, prototype, and implement cutting-edge ML, deep learning, causal inference, and reinforcement learning techniques to tackle complex healthcare challenges.
Contribute to ML infrastructure and tooling to ensure scalability, reliability, reproducibility, and performance across all production workflows.
Drive innovation by exploring new approaches in Generative AI, LLM-based systems, and AI-agent architectures to enhance recommendation, engagement, and personalization capabilities.
Design, execute, and interpret A/B tests and other experimental methodologies to rigorously measure the impact of new models, product features, and interventions.
Collaborate, mentor, and share best practices to elevate technical excellence across the Data Science discipline.

Join our team as a Geo Analyst and play a key role in producing the underground utility maps that sit at the heart of our product. In this entry-level position, youll work hands-on with diverse geospatial datasets and real project outputs, developing a deep understanding of how raw information becomes accurate, high-impact mapping for our customers.



Responsibilities

Process, extract, and analyze spatial data from multiple sources, including aerial imagery, remote sensing, engineering plans, surveys, and web-based datasets.
Deliver customer projects on time and at high quality, working in a fast-paced, deadline-driven environment.
Interpret and classify underground utilities and construction activities using geospatial tools and digital imagery.Work with GIS tools (mainly QGIS) to review, validate, and edit geospatial data.
Perform quality assurance (QA) in collaboration with external and internal experts.

Architect and Evolve Data Infrastructure- Design and implement scalable data pipelines, Data Lakes, and Data Warehouses to support analytics, AI, and product intelligence.
Build and Deploy AI-Powered Systems- Operationalize AI/ML models- from prototyping to production-grade inference- ensuring performance, monitoring, and reliability.
Enable BI and Analytics- Collaborate with business and product teams to turn raw data into actionable insights, visualizations, and predictive metrics.
Ensure Data Quality and Governance- Establish standards for data collection, validation, lineage, and retention.
Leverage LLMs and AI APIs- Integrate modern large language models and external AI services for chatbots, insights generation, and automation use cases.
Collaborate Across Teams- Work closely with engineers, ML specialists, and product stakeholders to align data and AI architecture with business goals.

Required Data Scientist
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. You should have in-depth knowledge of statistical and data science methodology and tools. Youll join a tight-knit group that values continuous improvement and solving challenging technical and product problems in an emerging space. Plus, we like to have fun along the way.
Responsibilities:
Creating innovative Machine Learning solutions for big data-sparse setups
End-to-end research and development of scalable Data Science solutions for our use-case challenges
Maintenance and improvement, if needed, of existing models, including accuracy and performance assessment in production
Collaborate with Data Engineers to tackle scale-up challenges.

Thinking about where to invest your Hanukkah gelt? We offer the smartest option data -driven, validated credit models.
Were hiring a Validation data Scientist to join our team in a hybrid high-tech environment on the train line in Tel Aviv and help make ML credit models as reliable as the eight nights of Hanukkah.
This is a 9-month contract with the possibility of extension, perfect for someone who loves analytical challenges and working closely with cutting-edge ML models.
What youll do:
Validate ML credit models: assess performance, data quality, robustness, and conceptual soundness
Challenge model assumptions and suggest alternative approaches
Provide insights into model strengths and weaknesses and recommend practical solutions
Prepare thorough documentation for regulatory standards
Support ongoing monitoring and improvement of predictive models.

As a Principal Data Scientist, you will apply your expertise in data analysis, machine learning, LLM agents, and cybersecurity to build new defense techniques against cyber-villains. You will be a driving force in designing and developing groundbreaking, Agentix LLM-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.
Design and implement agentic LLM solutions to face modern cybersecurity challenges.
Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholders.
Lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment.