Applied Data Scientist jobs in Israel

• 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

Decision scientist Intern specializes in analysing user behaviours, creating and leveraging advanced proprietary risk management mechanisms. as an intern, you will overcome challenges presented by big data, evolving fraud techniques, new payment technologies and human behaviour.

In your role as a Decision Scientist Intern, you will:

• Master PayPal’s data warehouse to help gain insights into consumer risk
• Perform data-driven behaviour research andtransform the results to business cases
• Develop and own data-driven risk decision strategies to support PayPal’s global financial business goals
• Measure performance against KPIs and goals
• Close collaboration with partners and stakeholders in Risk and in PayPal to execute PayPal’s long-term strategy

What do you need to bring-

• Education: student status required Bachelor / Master
• Student status - 2 years remaining before graduation, preferably in one of the following: engineering, computer science, math, physics, statistics, economy, accounting, business, cognitive science, medicine
• Availability for 50% position or more
• Some experience with SQL and Excel
• Some experience with programming / R / Python / BI tools - advantage
• Excellent spoken and written English
• Quick-thinker, fast learner, problem solver
• Team worker, responsible and trustworthy
• People person - ability to communicate and motivate

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Develop and optimize machine learning models for various applications.
• Preprocess and analyze large datasets to extract meaningful insights.
• Deploy ML solutions into production environments using appropriate tools and frameworks.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models.

Minimum Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
• Several years of experience in designing, implementing, and deploying machine learning models.

Experience working with Large Language Models

Our Benefits:

Any general requests for consideration of your skills, please

As a
•Build and lead relationships for highly sophisticated customer accounts
•Conduct customer needs analysis and anticipate requirements beyond existing solution’s scope
•Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities
•Verify operability of sophisticated product and service configurations within the customer’s environment
• Perform advanced systems integration and provide technical expertise to design and implement the solution•Excellent communication, relationship and leadership skills in industry
•Ability to present to executive level and articulate the Dell Technologies solutions
•In-depth understanding of market, technologies, products and services
•8 to 12 years of related experience in a relationship selling role
•Advanced experience in a relationship selling role
•Bachelor’s degree

Application closing date:Dec. 20th 2025

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• Lead, mentor, and grow multiple engineering teams and managers within the DSPM domain.
• Own the full SDLC - from translating product strategy into actionable roadmaps to ensuring flawless execution and on-time delivery.
• Engage directly with strategic customers to lead technical deep-dives, architecture reviews, and roadmap discussions.
• Set high engineering standards for quality and security while building a culture of accountability and continuous improvement.
• Build a culture of accountability, ownership, and continuous improvement.
• Oversee the architecture of scalable, distributed systems (primarily Python & Go) capable of processing data at petabyte scale.
• Guide teams on building high-throughput pipelines and cloud-native microservices.
• Ensure efficient deployment, observability, and runtime stability in production environments.
• Partner closely with Product Managers and cross-functional groups (Infra, Research, UX) to define priorities and build multi-quarter roadmaps.
• Align stakeholders across business units and communicate tradeoffs, risks, and execution plans with clarity.

Your Experience

• 3+ years managing software engineering teams, including managing managers.
• 5+ years of experience as a hands-on software engineer.
• Proven track record of delivering complex, distributed cloud products end-to-end.
• Strong systems-level background in one or more languages: Go, Python.
• Experience with large-scale cloud architectures (GCP, AWS, or Azure).
• Demonstrated ability to plan, execute, and deliver roadmaps with high predictability.
• Strong collaboration skills; able to align cross-disciplinary teams around a shared goal.

Advantages

• Experience with orchestration frameworks (Temporal, Argo Workflows, etc.).
• Familiarity with BigQuery, MongoDB, PostgreSQL, or similar.
• Background in cybersecurity, data security, or threat intelligence.
• Experience running services at massive scale across distributed environments.

All your information will be kept confidential according to EEO guidelines.