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Essential Responsibilities:
Expected Qualifications:
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
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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.
About youThese jobs might be a good fit

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Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…
Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.
As a Cognyter you will:
What You'll Learn
For that mission you’ll need:
Essential:
Preferred:
Apply now.
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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
Your Experience
Advantages
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.
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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
Your Experience
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.
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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.
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In this role, you will be responsible for:
Development of large-scale generative AI framework software development
Preparing data for machine learning models at scale.
Building inference interfaces for ML model consumption.
Enabling ML Ops for continuous delivery and automation of ML pipelines.
Developing solutions that can evolve into sustainable AI productization platforms.
Leading the creation of machine learning workflows and infrastructure necessary to build AI models and demonstrate solution feasibility.
*BSc/MSc/PhD student in Computer Science, Electrical Engineering, or similar field. MSc/PhD candidates are highly preferred.
* Ability to work at least 20 hours a week (one day from Petach Tikva offices), with studies expected to continue for at least 1.5 years.
* Practical programming experience in Python and ideally also C# is required.
*Experience with popular generative AI (e.g., AWS (Claude) or Azure (Open AI) Cognitive AI) services is highly desired.
* Solid understanding of machine learning techniques and applications.
* Proficiency in developing large-scale models using widely utilized AI frameworks (e.g., PyTorch, TensorFlow).
These jobs might be a good fit

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Essential Responsibilities:
Expected Qualifications:
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