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Required Senior Data Scientist- Flex
Israel (Remote)
Job Description
Do you enjoy working with huge datasets to develop models and agents to solve complex problems?
Are you excited to work with innovative web security products?
Join our team!
The App&API Security team is responsible for the continuous research and development of the Web Application Firewall. We serve thousands of large enterprise customers.
In this role you will:
leading the development of data science aspects in the product, working as part of the multidisciplinary research team. You will be responsible for the development and maintenance of models and agents. Adding innovation and advanced models, and developing DS tools to provide insights and analysis of web security attacks.
Responsibilities:
Leading and collaborating on end-to-end projects across the team and with engineering and product partners, from initial concept through to final deployment
Developing working prototypes of statistical/machine learning-based algorithms, evaluating and comparing metrics based on real-world data sets
Developing agentic systems to enhance detections and research paths
Guiding engineering implementations of autonomous security agents
Working closely with security researchers to combine subject matter expertise into the models
Working to integrate security research learnings into the product
Innovating in the web security research and data science space
Providing DS expertise to the wider web security research group.

Required Senior Data Scientist
Full-time
Description
We're revolutionizing how fans receive and interact with live sports updates and data. Our platform combines the intensity of live sports with cutting-edge technology to deliver a personalized experience to millions of users worldwide.
As a Senior Data Scientist, you will be an integral part of our Machine Learning and AI team. The role is hands-on and impact-driven, focusing on building, improving, and delivering machine learning models that directly support business goals.
Responsibilities
Design and deploy production ML systems that drive automated business decisions (pricing, bidding, resource allocation)
Build end-to-end ML pipelines - from data ingestion and model training to serving, monitoring, and incident response
Translate ambiguous business problems into rigorous mathematical frameworks and own them from conception to production impact
Conduct rigorous experimentation (A/B testing, causal inference, uplift modeling) to measure and improve model performance
Maintain and improve real-time models that adapt to incoming data and feedback signals
Mentor junior team members on ML best practices and production standards.

We are seeking a Senior Data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements. Our team solves many challenges in turning raw data into accurate signals and extracting insights to improve the products. Appropriate candidates have an understanding of multiple components across the big data stack: large-scale data analysis, data quality, statistics, and visualization. If you are the kind of researcher who's focused on results and a quick learner, this role is for you. This position is located in our Tel Aviv office.
Responsibilities
Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
Define, analyze, and monitor KPIs and OKR metrics to continually improve company products.
Analyze large, complex data sets to address strategic and operational business questions.
Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team.
Perform qualitative, quantitative, and statistical analysis.
True passion for understanding data and finding Insights.
Provide actionable recommendations and conclusions from data to shape features and future product road maps.

As an Analytics Engineer within the Delivery & Operations organization, you will operate at the intersection of data engineering and analytics, with a strong focus on data quality, reliability, and scalability.

This role combines hands-on ownership of data pipelines and data transformations with the ability to effectively interface with customer-facing teams (Customer Success, and Delivery) when needed-helping ensure that data outputs are accurate, clear, and aligned with real-world use cases.

Responsibilities:
Build and maintain data models, pipelines, and ETL processes to support analytics, reporting, and machine learning.
Own data quality and validation, including monitoring, auditing datasets, and identifying anomalies.
Support customer-facing teams by providing reliable data, clarifying definitions, and investigating data issues.
Collaborate cross-functionally and work with existing codebases to debug, improve, and maintain data workflows.
Ensure high-quality data across the lifecycle to support reliable ML pipelines.

Experienced Data Engineer? Excellent team player?
Come join a great team to overcome meaningful cyber challenges!
Our Data Solutions Group is looking for an exceptional Python developer with Data Engineering experience.

We are looking for a Data Scientist Team Lead to lead strategic research initiatives.Lead a high-impact team of researchers within our Research Department. This role requires a unique blend of technical expertise, people management, and the ability to navigate complex cross-functional relationships. You will be responsible for translating research into business impact.
Responsibilities:
Translating research into business impact
Lead, mentor, and grow a team of talented Data Scientists and Researchers.
Master task management and prioritization in a fast-paced, dynamic environment.
Act as the primary technical bridge between the Research team and various departments, including Risk, Engineering, and Business.
Design solutions for the companys core mission using Data Science methodologies from various domains
Ensure the highest standards of code quality, research methodology, and statistical validation.

we are looking for a Senior Data Analyst.
As a Senior Data Analyst in Data team, you will be the gateway of data from multiple sources and of multiple partners. The Data teams mission is to integrate the data into databases in a manner that will best serve all the different teams and departments .
As part of your role, you will:
Own and create end to end data products, from raw data to monitoring and analysis tools.
Prepare on demand data analysis and reports for various teams by means of python/SQL/other data analysis instruments, processing big data sets.
Full responsibility for new partners' data integration process, including requirement definition, data processing and verification.
Explore new data points and files and communicate insights to partners and senior management across the company.
Gain a wide knowledge of operational, business, and technological activities in order to add value to the companys investment game plan and operational strategy.
Help create structured processes that will enable the companys scalable growth.
Define data policies and structures that best serve the companys capability to improve its modeling, business understanding and strategic decision making.

Methodology Development: Develop new data analysis methods and technologies in line with the department roadmap. This includes performing statistical design and evaluation of experiments, multivariate data analysis, and harnessing predictive modeling approaches.
Continuous Improvement: Monitor model performance and make iterative improvements based on feedback and new data.
Innovation: Explore novel AI/ML approaches to enhance cell culture media development processes.
Project Leadership: Propose, execute and lead ML- and data -based work packages within defined projects in related technology areas.
IT data Infrastructure
Reporting: Evaluate, analyze and present project results
Expert Engagement: Actively participate in internal and external expert groups and/or networks
data Pipeline Maintenance: Design, build, TEST and maintan robust data processing pipelines.

Analytics team lead | Fintech | Direct Placement Location: Tel Aviv | Hybrid Model We are seeking a strategic and impact-driven Analytics team lead to join a fast-growing Fintech company. This is a Direct Employment opportunity from day one, offering a leadership role in a highly dynamic and evolving business environment.
Key Responsibilities As the team lead, you will orchestrate the sprint cycles and backlog for a diverse group of over 5 analysts, ensuring high-speed delivery in a fast-paced setting. You will be responsible for cultivating analytical rigor through advanced A/B testing methodologies and standardized frameworks, while continuously auditing internal workflows to eliminate manual inefficiencies. Your role involves defining and owning departmental North Star metrics, proactively educating stakeholders on business drivers, and maintaining a hands-on approach to ensure complex, cross-functional projects meet their milestones. Additionally, you will champion the integration of AI tools and frameworks to accelerate the teams ability to generate rapid, actionable insights.

we are looking for a Senior BI Lead.
What Youll Do:
Lead and grow the BI team- mentor data professionals, raise technical standards, and build a culture of ownership and continuous improvement
Partner with Product, Marketing, R&D, and leadership to translate complex business needs into scalable data solutions
Design and own end-to-end BI solutions- from data modeling and pipelines to dashboards and executive-level storytelling
Leverage AI as a core working tool- build automations, custom AI workflows, and smart processes that multiply your team's output
Drive a continuous improvement loop- define metrics, run analyses, identify performance gaps, and close them fast
Lead cross-functional analytics projects across the organization, acting as a strategic thought partner, not just a reporting layer
Evaluate and implement BI tools and technologies that match where the business is going, not just where it's been
Proactively surface opportunities- use advanced analysis to uncover insights before the business knows it needs them

we are looking for an experienced Senior data Scientist specializing in NLP and Large Language Models (LLMs) to join our AI & data practice. In this role, you will lead the design and development of advanced NLP and Generative AI solutions, including on-premise Hebrew LLM systems, for enterprise clients across multiple industries. You will work closely with data engineers, software architects, and AI specialists to build production-grade AI systems that power decision-support tools, intelligent interfaces, and next-generation applications
Generative AI & NLP Solutions
* Lead the development of Hebrew LLM-based solutions, including on-premise deployments for enterprise environments.
* Design and implement NLP pipelines for:
* Text classification
* Sentiment analysis
* Named Entity Recognition (NER)
* Develop Generative AI applications supporting decision-support systems and intelligent user interfaces
* Build and optimize semantic search, embeddings, and Retrieval-Augmented Generation (RAG) architectures
* Implement multi-agent and long-chain LLM workflows for complex reasoning tasks. Architecture & Technical Leadership
* Provide technical leadership and architectural guidance for AI/ML solutions.
* Collaborate with data engineers, MLOps, and software teams to deploy scalable NLP models into production environments.
* Design efficient text representations and feature engineering pipelines
* Ensure solutions meet enterprise-level performance, security, and scalability requirements Innovation & Client Impact
* Analyze large-scale datasets and deliver data -driven insights that improve business processes.
* Stay updated with the latest advancements in NLP, LLMs, and Generative AI ecosystems
* Contribute to innovation initiatives and knowledge sharing within our AI community.
* Work closely with enterprise clients, translating business needs into AI-driven solutions.