Avp Cybersecurity Data Science jobs in Israel

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

• High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
• Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud, so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
• Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
• Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.

As a Product & Data Analyst at Orca, you will take ownership of product analytics at Orca, along with responsibility over our BI infrastructure. You will help product teams make smarter decisions by uncovering customer insights, while also ensuring the data pipelines and models that power those insights are robust and scalable.

In this role, you will work directly with Product Managers to analyze customer behavior, evaluate new features, and measure product impact. You’ll also take responsibility for the underlying data stack-writing SQL, modeling in DBT, and maintaining clean, efficient ETLs. Beyond supporting day-to-day product questions, you will build dashboards and reporting tools that give teams across the company access to reliable, self-serve insights.

• 3-5 Years of experience as a Data Analyst, preferably from a SaaS company
• Proven experience in SQL writing, specifically in querying large and complex data sets
• Experience in BI tools and in DBT/Python
• Looker proficiency – an advantage
• Ability to translate analytic conclusions to business insights and actions along with strong statistical analysis skills and self-learning capabilities
• B.Sc./BA in industrial/information systems engineering, statistics or equivalent
• Experience in operational or cross-department roles – an advantage
• Great communication skills
• Business orientation and a passion for data analytics
• High level of spoken and written English

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.

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.