Compliance & Data Protection Specialist jobs in Israel
PayPal Sr Data Scientist Israel, Tel Aviv District, Tel Aviv-Yafo
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2. This role is open to support the expansion of Bot Mitigation solutions, and would be part of our global team.
3. The role requires some flexibility in work-hours and due to team’s structure requires to accommodate online meetings up to two evenings per week.
Essential Responsibilities:
- Lead the development and implementation of advanced data science models.
- Collaborate with stakeholders to understand requirements.
- Drive best practices in data science.
- Ensure data quality and integrity in all processes.
- Mentor and guide junior data scientists.
- Stay updated with the latest trends in data science.
Expected Qualifications:
- 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
In your role as a Decision Scientist, you will:
· Trackand measure performance against KPIs and goals to identify and mitigate fraud risk and enable growth
· Plan,drive and execute projects from start to finish, with partners across the company, to develop cutting edge, scalable and safe solutions
· Workwith product and platform teams to develop cutting edge, scalable and safe products, to enhance the experience for our global customers
· Growongoing communication with partners across the company and share updates with senior leaders effectively and while translating complex problems into simpler terms
· Planand measure experiments to analyse incremental value of new intelligence feeds, from internal teams or vendors
Our Benefits:
Any general requests for consideration of your skills, please
These jobs might be a good fit
Palo Alto Senior Rust Software Engineer - Data Classification Cortex C... Israel, Tel Aviv District, Tel Aviv-Yafo
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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
As a Senior Engineer on the Data Classification team, you’ll design and development of scalable solutions that help customers understand and protect their data. You’ll work across the full product lifecycle- design, implementation, testing, and deployment—while collaborating with cross-functional teams to ensure seamless integration. Beyond your own contributions, you’ll raise the bar for those around you, driving innovation, mentoring teammates, and pushing for continuous improvement.
Your Impact
- Develop solutions for data security and classification using Rust, Python & Golang
- Contribute to feature development (design, implementation, testing, deployment)
- Collaborate with cross-functional teams for product and infrastructure integration
- Innovate solutions for high-scale data operations
- Serve as a leader, improving the work of others
- Generate ideas and participate in brainstorming
- Identify and push for team improvements
Your Experience
- BSc in Computer Science with 5+ years, or MSc with 3+ years, or equivalent military experience
- Experience with systems-level languages (C++, C, Go, etc.)
- Deep understanding of memory management
- Strong understanding of application and OS interaction
- Experience with multi-threaded and multi-process development with a performance focus
- Familiarity with CI/CD pipelines and cloud infra - Have the ability to “make stuff work" on top of writing good code
Advantages
- Experience in Rust - Big advantage
- Python/Go experience
- Comfortable with Regex & Character encodings
- Experience with applications running remotely at scale
- Familiarity with Cyber Technologies, Information Security and Software Security, etc
We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.
All your information will be kept confidential according to EEO guidelines.
Palo Alto Principal Security Researcher Data & AI Cortex Israel, Tel Aviv District, Tel Aviv-Yafo
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Your Career
You will be part of a strong security research and data science team who solve highly complex security challenges using disruptive technologies, ML algorithms and a lot of data.
As part of that, you will take part in the design and development of new groundbreaking AI security solutions which make a direct impact on many customers.
Your Impact
- Transform Data into Defense: Take the lead in creating high-fidelity security incidents from a massive stream of alerts generated by our industry-leading advanced security solutions
- Innovate with AI : Actively participate in cutting-edge research projects focused on creating novel prevention content at scale using state-of-the-art AI and Large Language Models (LLMs)
- Drive Security Efficacy: Analyze complex threat data to identify attacker patterns, develop new prevention methodologies, and enhance automated flows to rapidly protect Cortex platform customers
- Collaborate and Lead: Work side-by-side with top-tier data scientists, engineers, and product managers to translate research ideas into tangible, customer-facing security protections
Your Experience
- 8+ years of hands-on experience in the cybersecurity research field
- Proven expertise in detecting threats by analyzing and correlating security data across hybrid environments, from on-premise tools (EDR, SIEM, NDR) to major cloud platforms (AWS, GCP, Azure)
- Proven ability to investigate and contextualize disparate security alerts to construct a full attack narrative
- Strong proficiency in a scripting language, with Python being highly preferred for data analysis and prototyping
- Hands-on experience with query languages and databases (e.g., SQL , KQL)
- A scientific, data-driven approach to problem-solving, with experience running research projects from ideation to production
- Excellent communication skills, with the ability to clearly articulate complex technical concepts and research findings to diverse audiences
We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.
All your information will be kept confidential according to EEO guidelines.
Palo Alto Senior Product Manager - Data Security Posture Management Co... Israel, Tel Aviv District, Tel Aviv-Yafo
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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Impact
Build and launch enterprise class products throughout the entire product lifecycle - collect customers’ feedback and hear their need, prioritize features and trade offs, write the product requirements and work closely with engineering group to deliver the roadmap
Lead core pillars within Cortex cloud DSPM and grow them to new horizons by bringing innovative and disruptive approaches, and ensure that they can be effectively launched
Working effectively with all areas of the organization in a global company, from engineering to sales
Understand cloud and data security practitioners, often being able to directly relate to and understand use cases
Work closely with our customer success, marketing and sales teams on supporting existing customers, identifying common user problems and taking the solutions you define to market
Your Experience
5+ years in product management with at least 3+ working on SaaS products
3+ years working in cloud security
Proven technical background in a development or research role
Inherent passion for cybersecurity and solving problems
Great communication skills and a passion for telling stories to different audiences
Drive to design new, innovative and disruptive solutions
Strong desire to take ownership of new technology products and their full life cycle
Team player with a can do approach
BS/MS in Computer Science, Other engineering/technical degree or equivalent military experience required
All your information will be kept confidential according to EEO guidelines.
Elementor Finance Information Systems Specialist Israel
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As a , you will own the end-to-end billing cycle and revenue operations, ensuring accuracy and efficiency across large-scale data. You’ll collaborate closely with CX, Legal, Finance, R&D, and Product teams to streamline processes and support decision-making. The role is highly systems-oriented, working mainly with to optimize billing, automation, and reporting.
Responsibilities
- Manage the end-to-end billing cycle, including invoice generation in NS, distribution, and reconciliation within NetSuite and Zuora .
- Investigate and resolve billing discrepancies and customer inquiries in a timely and professional manner.
- Collaborate with CX, legal and bookkeeping teams to ensure billing accuracy and compliance.
- Conduct month-end and year-end close activities related to billing and revenue recognition.
- Serve as a key user and administrator for our billing and financial systems, primarily NetSuite and Zuora .
- Maintain data integrity and accuracy across all relevant systems, with a focus on managing and validating large datasets .
- Identify and implement system enhancements and automations to improve efficiency and reduce manual effort for high-volume transactions.
- Develop and maintain documentation for billing processes and system procedures.
- Collaborate with R&D, IT and other departments on system upgrades, integrations, and new system implementations.
- Demonstrate strong systems awareness , understanding the interconnectedness of various platforms and data flows.
- Conduct comprehensive data analysis of billing trends, revenue metrics, and customer accounts, specifically with the ability to handle and interpret big volume of data.
- Generate regular and ad-hoc reports to support financial forecasting, operational insights, and strategic decision-making.
- Identify opportunities for process improvement and cost reduction through data-driven insights.
- Present findings and recommendations to stakeholders in a clear and concise manner.
- Actively research and explore emerging AI tools and technologies that could enhance billing efficiency, fraud detection, revenue assurance, or data analysis capabilities, particularly for large-scale data operations .
- Propose and, where appropriate, pilot new AI-driven solutions to optimize existing processes.
- 3-5 years of experience in a finance operations, or information systems role, preferably within a fast-paced environment.
- Demonstrated experience working with and managing large volumes of customer or transactional data
- Proven hands-on experience with NetSuite is essential.
- Strong practical experience with Zuora (or similar subscription billing platforms) - An Advantage.
- Excellent ability to perform robust data analysis using AI/BI tools
- Strong systems awareness and understanding of how different business systems integrate and impact financial operations.
- Excellent analytical and problem-solving skills with a keen eye for detail.
- Ability to work independently and collaboratively in a team environment.
- Excellent communication (written and verbal) and interpersonal skills.
- Proactive, curious, and eager to learn new technologies and processes.
- Experience with or a strong interest in exploring AI tools and their application in business processes.
- Experience with SQL or other querying languages- Optional
- Bachelor's degree in Finance, Accounting, Business Administration, Information Systems, or a related field.
Unity Staff Data AI Engineer Israel, Tel-Aviv District, Tel-Aviv
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What you'll be doing
- Develop and execute AI strategies aligned with business objectives
- Advise leadership on AI capabilities and potential applications
- Guide teams in adopting AI tools and methodologies
- Ensure ethical and efficient implementation of AI technologies
- Design and oversee AI-driven process improvements
- Collaborate with various departments to identify AI opportunities
- Stay current with the latest AI trends and advancements
- Conduct AI-related training and workshops for staff
- Manage AI projects from conception to implementation
- Evaluate and recommend AI tools and platforms
- Leading a team of AI engineers
- Deep understanding of AI technologies, including large language models
- Expertise in prompt engineering and AI-powered automation
- Proficiency with AI tools such as ChatGPT, Claude, Midjourney, and Copilot
- Knowledge of AI ethics and regulatory considerations
- Strong problem-solving and analytical skills
- Proficiency with Python or TypeScript for building AI workflows and data pipelines
- Excellent communication and leadership abilities
- Ability to translate complex AI concepts for non-technical audiences
- Experience in project management and cross-functional collaboration
- Advanced degree in Computer Science, AI, or related field
- Previous experience in AI implementation within an organizational setting
- Certifications in relevant AI technologies or platforms
- Familiarity with no-code AI application development
- Bachelor's degree in Computer Science, AI, or related field
- Relocation support is not available for this position.
- Work visa/immigration sponsorship is not available for this position
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Unity Senior DevOps Engineer Data Platform Israel, Tel-Aviv District, Tel-Aviv
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- Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams
- DataOps Excellence: Create seamless developer experience through self-service capabilities while significantly improving data engineer productivity and pipeline reliability metrics
- Cross-Functional Innovation: Lead collaboration between DevOps, Data Engineering, and ML Operations teams to unify our approach to infrastructure as code and orchestration platforms
- Technology Breadth & Growth: Work across the full DataOps spectrum from pipeline orchestration to AI/ML infrastructure, with clear advancement opportunities as a senior infrastructure engineer
- Strategic Business Impact: Build scalable analytics capabilities that provide direct line of sight between your infrastructure work and business outcomes through reliable, cutting-edge data solutions
- Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
- Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
- Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
- Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
- Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale
- 3+ years of hands-on DevOps experience building, shipping, and operating production systems.
- Coding proficiency in at least one language (e.g., Python or TypeScript); able to build production-grade automation and tools.
- Cloud platforms: deep experience with AWS, GCP, or Azure (core services, networking, IAM).
- Kubernetes: strong end-to-end understanding of Kubernetes as a system (routing/networking, scaling, security, observability, upgrades), with proven experience integrating data-centric components (e.g., Kafka, RDS, BigQuery, Aerospike).
- Infrastructure as Code: design and implement infrastructure automation using tools such as Terraform, Pulumi, or CloudFormation (modular code, reusable patterns, pipeline integration).
- GitOps & CI/CD: practical experience implementing pipelines and advanced delivery using tools such as Argo CD / Argo Rollouts, GitHub Actions, or similar.
- Observability: metrics, logs, and traces; actionable alerting and SLOs using tools such as Prometheus, Grafana, ELK/EFK, OpenTelemetry, or similar.
- Data Pipeline Orchestration - Demonstrated success building and optimizing data pipeline deployment using modern tools (Airflow, Prefect, Kubernetes operators) and implementing GitOps practices for data workloads
- Data Engineer Experience Focus - Track record of creating and improving self-service platforms, deployment tools, and monitoring solutions that measurably enhance data engineering team productivity
- Data Infrastructure Deep Knowledge - Extensive experience designing infrastructure for data-intensive workloads including streaming platforms (Kafka, Kinesis), data processing frameworks (Spark, Flink), storage solutions, and comprehensive observability systems
- Relocation support is not available for this position.
- Work visa/immigration sponsorship is not available for this position
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
2. This role is open to support the expansion of Bot Mitigation solutions, and would be part of our global team.
3. The role requires some flexibility in work-hours and due to team’s structure requires to accommodate online meetings up to two evenings per week.
Essential Responsibilities:
- Lead the development and implementation of advanced data science models.
- Collaborate with stakeholders to understand requirements.
- Drive best practices in data science.
- Ensure data quality and integrity in all processes.
- Mentor and guide junior data scientists.
- Stay updated with the latest trends in data science.
Expected Qualifications:
- 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
In your role as a Decision Scientist, you will:
· Trackand measure performance against KPIs and goals to identify and mitigate fraud risk and enable growth
· Plan,drive and execute projects from start to finish, with partners across the company, to develop cutting edge, scalable and safe solutions
· Workwith product and platform teams to develop cutting edge, scalable and safe products, to enhance the experience for our global customers
· Growongoing communication with partners across the company and share updates with senior leaders effectively and while translating complex problems into simpler terms
· Planand measure experiments to analyse incremental value of new intelligence feeds, from internal teams or vendors
Our Benefits:
Any general requests for consideration of your skills, please
These jobs might be a good fit
