לוח משרות דרושים Data Scientist

We are looking for a talented and experienced Data Scientist to join our Research Data Science team and play a key role in shaping the future of cloud-native network security. Your primary mission will be to lead the development and deployment of AI-driven capabilities that protect enterprise networks at scale through our companys SASE platform, powering core products such as DLP, XDR, IPS, and AI Security.
Leveraging rich, real-time data from our global backbone and the our company Cloud data warehouse, you will apply advanced analytics, machine learning, and deep learning techniques to solve complex cybersecurity and networking challenges. You will also collaborate closely with internal business departments to accelerate AI adoption and develop intelligent systems that deliver operational efficiencies and strategic value across the company.
This is an exciting opportunity to join a fast-growing company and drive innovation in the rapidly evolving SASE space.
Key Responsibilities
Lead the design, development, and deployment of machine learning models and AI features that enhance our companys security and networking products
Analyze large-scale network traffic and security data to identify patterns, threats, and opportunities for product improvement
Collaborate cross-functionally with product, engineering, sales, and support teams to translate business needs into AI solutions
Drive AI adoption internally by working with business units to implement generative AI and other intelligent systems that deliver measurable impact
Define and track success metrics to ensure AI solutions meet performance and business goals.

we are the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeem, Trusteer and more). our companys unique technology inspired a brand-new product category, later named SASE by Gartner and a market expected to reach $25 billion by 2027.
This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader dont miss it!
Responsibilities:
Gather and analyze large financial datasets from various sources (e.g., CRM, accounting systems, market data feeds), leveraging SQL, Python, BI, or other relevant tools.
Clean and prepare financial data for analysis, ensuring accuracy, consistency, and adherence to accounting principles.
Identify key financial trends, patterns, and insights related to bookings, revenue, expenses, profitability, and cash flow.
Conduct variance analysis to understand deviations from budgets and forecasts.
Develop and maintain financial dashboards and reports using BI tools like Tableau, Power BI, or similar platforms to track key performance indicators (KPIs).
Communicate complex financial data findings clearly and concisely to both technical and non-technical audiences, including financial analysts, management, and executives.
Support the development and implementation of data-driven solutions to improve cost efficiency, optimize resource allocation, and enhance financial performance.
Collaborate with cross-functional teams to understand business requirements and develop analytics strategies to support revenue growth.
Stay up-to-date with the latest trends and advancements in financial analysis and data visualization tools.
Perform ad hoc financial analysis as needed to support various business initiatives.

Were looking for a Data Scientist to join our Data Labs department, which specializes in professional services for our super premium customers.
This role will report to our Datalabs Team Manager in the, R&D.
Why is this role so important?
We are a data-focused company, and our unique AI and machine learning capabilities are the center of our business.
As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions
As a data scientist in the Datalabs team, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the box requests from customers who want custom digital insights. The Datalabs departments customer centric and business-oriented nature also means you will be supporting a team of data analysts and consultants who interact directly with customers. Together with them, you will translate the voice of these customers into best-in-class digital insights.
So, what will you be doing all day?
Your role as part of the R&D department, and as part of the Datalabs team means your daily responsibilities may include:
Working on versatile use cases within a dynamic, fast paced production environment
Strategic thinking and problem solving, with a strong business sense
Analyzing data from various sources, and turning it into usable input
Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights
Initiating newly defined tasks from exploration to proof of concept
Owning the finalization of defined tasks (from POC to deployment in production)
Collaborating with data engineers to make sure we reach the desired production results
Owning the ongoing validation process for existing metrics
Collaborating and brainstorming best practices with other teams within the R&D department
Deploying machine-learning models into production for an ongoing use.

We are seeking a highly experienced and visionary Director, Data &
Analytics to lead our data organization. Reporting directly to the VP of Data, GRC, IT, and
Security, you will be responsible for defining and executing; data strategy, ensuring the
reliability, scalability, and impact of our data assets. You will lead five critical domains: BI
Engineering, Data Engineering, Data Platform, BI Product, and BI Labs (Data Science),
fostering a culture of data excellence, innovation, and partnership across the company.
This role requires a unique blend of deep technical expertise, strong leadership capabilities, and
a keen understanding of how data can drive business value in a fast-paced, data-intensive
environment.
What will you do?
Strategic Leadership: Develop and execute a comprehensive data strategy aligned with ' business objectives. Identify emerging data trends and technologies, and drive their adoption to maintain a competitive edge.
Team Leadership & Development: Lead, mentor, and inspire five diverse teams (BI Engineering, Data Engineering, Data Platform, BI Product, BI Labs), comprising talented engineers, analysts, product managers, and data scientists. Foster a high-performance culture, promoting continuous learning, collaboration, and career growth.
Data Engineering & Platform Ownership: Oversee the architecture, development, and maintenance of ' core data infrastructure, including data lakes, data warehouses, ETL/ELT processes, and real-time data pipelines. Ensure data quality, availability, and governance across all data assets.
Business Intelligence & Analytics Enablement: Drive the development of robust BI solutions, semantic models, and reporting infrastructure that empower business users with actionable insights.
Data Science & Advanced Analytics: Guide the BI Labs team (Data Scientists) in applying advanced analytical techniques, machine learning, and statistical modeling to solve complex business problems, identify business opportunities, and promote AI for predictive analytics .
Cross-Functional Collaboration: Partner closely with engineering, product, R&D, sales, marketing, and finance teams to understand their data requirements, deliver impactful data solutions, and evangelize data-driven decision-making across the organization.

The Detection Team is looking for a Senior Data Scientist to join our Static AI team.
The Static AI team develops state-of-the-art ML models that operate on millions of machines across the world, to make sub-second decisions to stop malware before it runs.
The team brings together cross-functional skill sets including data science, ML engineering, and software engineering, to research, develop, ship, and support ML malware detection engines across Windows, Mac, and Linux machines and cloud environments.

What will you do?
Design and deliver innovative ML-based detection engines.
Research new approaches to AI/ML and work with your peers to integrate the most promising advancements in ML into our product.
Build analytics systems that learn from a wide variety of internal and external data sources to improve our existing ML models and create new ones.

We are seeking an experienced Data Scientist with a strong background in AI engineering to join our AI Platform team. This role focuses on developing and fine-tuning advanced machine learning models, including LLMs, to support various product teams across . As a member of the AI Platform team, you will collaborate with cross-functional teams to build scalable, efficient, and robust AI solutions that serve diverse business domains.

What am I going to do?
Take leading roles in foundational AI projects across : developing and fine-tuning LLMs, building reusable components for generative AI, supporting real-time predictions, and enabling streaming data utilization across online models.
Provide advanced Data Science and AI Engineering solutions end-to-end - from research and prototyping to robust production-grade implementations.
Own the design, training, and evaluation of models tailored for tasks like summarization, classification, semantic matching, personalization, and more.
Drive innovation by exploring new model architectures, training techniques, and fine-tuning strategies aligned with business needs.
Lead and mentor other team members, setting high standards for technical excellence and knowledge sharing.
Continuously identify new opportunities to evolve the platforms capabilities and streamline how AI is built and adopted across .

We are looking for an experienced Data Scientist who can leverage and develop innovative machine learning, NLP, and generative AI technologies, for solving problems within a wide scope.

As a part of our Data Science group, you will work on highly complicated challenges, from research to production, and help shape our algorithms and AI platform. You will work with Developers, Analysts, Product Managers, and business owners on growth opportunities and new ideas.

You should have a strong background and experience in the machine learning pipeline through business understanding, research, data exploration, feature engineering, model building, performance evaluation, testing, production-level code and deployment, model monitoring, and maintenance.

What am I going to do?
Take leading roles in projects such as search engine ranking, promoted ads in search results, recommendations, users segmentation and personalization, online bidding optimization, text analysis, real-time predictions, live streaming data handling, exploration-exploitation problems, etc.
Work closely with various departments in the company to provide advanced Data Science solutions end to end.
Write and own production models and code.
Independent research and innovation in new content and technological domains.
Lead and advise other team members.
Continuously produce new initiatives and improvement ideas.
Act as a leader of AI platform. Develop models and framework solutions for the group.

We are looking for an experienced Data Scientist who can leverage and develop innovative machine learning, NLP, and generative AI technologies, for solving problems within a wide scope.

As a part of our ML Foundations team, you will work on highly complicated challenges, from research to production, and help shape our algorithms and AI capabilities. You will work with Data scientists, Software engineers, Product Managers, and business owners on growth opportunities and new ideas.

You should have a strong background and experience in the machine learning pipeline through business understanding, research, data exploration, feature engineering, model building, performance evaluation, testing, production-level code and deployment, model monitoring, and maintenance.

What am I going to do?
Take leading roles in innovative and cross-domains projects using cutting-edge technologies
Research and development of foundation data science capabilities
Work closely with various departments in the company to provide advanced Data Science solutions end to end.
Write and own tools and frameworks that will integrate in production models.
Build frameworks to train, evaluate, deploy and monitor machine learning models using reliable and scalable infrastructure.
Create modular, reusable code libraries and tools to streamline model development, evaluation, and testing processes.
Independent research and innovation in new content and technological domains.
Lead and advise other team members.
Continuously produce new initiatives and improvement ideas.

About the Role As a data Scientist on the AI Detection Research team, you will play a critical role in identifying and mitigating mobile threats through advanced AI and Machine Learning techniques. This is part of the research organization that is responsible for protecting against cyberattacks and malicious activity, and creating innovative solutions for mobile app security. You'll work on cutting-edge problems that traditional detection methods cannot solve, developing neural networks and ML models to protect against emerging attack vectors in AI-driven mobile applications. What Youll Do - Design and build complete AI/ML project lifecycles - from data collection and model development to testing and production code deployment. - Build secure AI models that run on hundreds of millions of mobile devices within our company-protected applications. - Create advanced detection algorithms for sophisticated and complex threats that traditional security methods fail to identify. - Optimize model performance across diverse mobile device environments to ensure reliable threat detection. - Research AI-based applications, frameworks, and OS-level features to identify emerging attack vectors and detect attempts to exploit Embedded AI models. - Collaborate with cyber research teams to validate and refine recognition models based on real-world threats.

As a data scientist team member, you will work at the forefront of the data world, optimizing predictive models and assisting our clients to use those predictions to affect their business.

Together with the team, you will be continuously helping our clients achieve their business goals, and reinforce the value of modules, and the ease of use of our platform.

You will handle complex data science challenges using state-of-the-art techniques such as custom loss-functions, auto-encoders, embeddings, LSTM, and many more.

Were building a new multidisciplinary Real-World Evidence (RWE) team, and were looking for a Real-World Evidence Research Scientist to join us on this exciting journey!
This is a unique opportunity to be part of a newly formed team, where each member brings a different expertise, and together well create meaningful data-driven insights to impact the world of healthcare.
What will you do?
Dive deep into complex, real-world datasets clinical data, oncology, and other unexplored data sources.
Lead full-cycle research processes: hypothesis generation, algorithm development, data cleaning, analysis, visualization and reporting of research findings.
Perform survival and other statistical analyses using advanced methods on large clinical datasets including Cox proportional hazards models, Kaplan-Meier estimators, temporal data models, propensity score matching etc.
Write clean, high-quality code (Python, SQL) and work with leading libraries (such as: Pandas, SKLearn) and apply Machine Learning techniques where appropriate.
Collaborate in a dynamic team culture that values sharing knowledge, peer feedback, and continuous learning.

abra R&D is seeking an experienced Senior Data Scientist and LLM Engineer We are seeking a Data Scientist and LLM Engineer with a strong background in Python and hands-on experience in developing and implementing advanced ML and NLP solutions.
* The ideal candidate will bring in-depth technical skills and industry experience to design, develop, and optimize AI/ML models, particularly Large Language Models (LLMs), to address complex challenges in our target sectors ementation in simulation environments.
* Support software, hardware, and firmware teams in implementing algorithms on embedded systems. Responsibilities
* Design, develop, and deploy cutting-edge causal inference and AI models to solve complex problems in user behavior, root cause analysis, gaming and mobile applications domains.
* Develop Python-based solutions for data processing, model training, and deployment in production environments.
* Collaborate with cross-functional teams to integrate AI/ML solutions into enterprise-grade applications.
* Conduct research on the latest advancements in AI, ML, and LLMs to maintain competitive edge.
* Optimize and fine-tune LLMs for performance, scalability, and cost efficiency.
* Analyze and process large datasets to extract actionable insights that drive business value.
* Develop and maintain robust, scalable, and efficient codebases and documentation. Why Join Us
* Be part of a forward-thinking start-up company pushing the boundaries of AI and ML.
* Collaborate with a talented team dedicated to innovation and excellence.
* Opportunities for professional growth and development in cutting-edge technologies.

Who We Are At Cross River, we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely.?With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - we’re reshaping how financial technology is developed and delivered. segmentation and optimization tools.

The Role:
As a Data Scientist you’ll play an essential role in driving data-informed decisions that strengthen our AML/CFT compliance and empower business leaders with actionable insights. By transforming complex data into clear, compelling analysis, this role enables quick understanding of results and supports strategic recommendations that directly influence compliance outcomes and operational success. You’ll collaborate with cross-functional partners to deliver a comprehensive view of risk, monitor the impact of implemented strategies, and make critical adjustments as needed. From designing and refining transaction monitoring scenarios to producing high-quality dashboards and reports, your work will guide ongoing optimization efforts.

Who You Are:

* Curious and analytical – You love digging into data, asking the right questions, and uncovering insights that others might miss.
* Clear communicator – You can explain complex findings in a way that’s easy to understand, whether it’s to compliance officers or business partners.
* Collaborative mindset – You enjoy working across teams and believe that the best solutions come from bringing different perspectives together.
* Mission-driven and detail-oriented – You care deeply about making a real-world impact and bringing focus and precision to everything you do.

What You’ll Actually Be Doing:

* Present data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations so they can make informed data-driven decisions.
* Collaborate with various partners to provide a holistic view of the analysis. Measure and monitor results of applied recommendations and present adjustments.
* Develop scenarios involving tuning, calibration, segmentation, and optimization.
* Provide routine and ad hoc reporting tied to AML/CFT compliance.
* Develop insightful and compelling summary reporting and dashboards for management and business line partners.
* Support the development of policies and procedures for AML transaction monitoring life cycle, including reviews of scenario validation, segmentation and optimization tools.

Why You’ll Love Working Here:

* Flexible hybrid work model: three days a week at our Jerusalem office
* Monthly wellness reimbursement – from therapy to gel manicure, it's up to you
* Full Keren Hishtalmut, private health and dental insurance
* Volunteer days, donation matching, Yoga and Pilates
* A supportive, collaborative culture that puts our people first

Next Step:
Hit apply. You bring the talent; we’ll bring the challenge (and the snacks!)

We are looking for a strong, hands-on Data Scientist to join our Data Loss Prevention team.
In this role, you will join an R&D team that researches, designs, and develops our companys data loss prevention cloud services, providing state-of-the-art AI-based data loss prevention solutions on a global scale.
our company's data loss prevention solution is a platform used by all our company's products, including Network Security, Email Security, SASE, Endpoint, SaaS, and Cloud Security.
In today's AI-driven world, data is an invaluable asset, and safeguarding it is paramount.
This role offers a unique opportunity to leverage extensive data collections and deliver transformative results in the Data Loss Prevention domain.
Key Responsibilities
Join the research and development of new innovative capabilities for data loss prevention, involving advanced AI and algorithms.
Quickly iterate on design approaches based on data-driven research and user feedback.
Design and develop novel data-driven solutions that have the potential to deliver game-changing results involving advanced AI and algorithms.
Utilize Natural Language Processing (NLP) and large language models to enhance data loss prevention capabilities.
Work on web content categorization as part of the broader scope of data protection.
Collaborate with Cyber Researchers, Analysts, Fellow programmers, and Data Scientists to deliver machine learning and analytics solutions.
Push the solutions all the way to large-scale production systems. Understand the architectural constraints of such systems and work with a cross-organizational engineering and product team to quickly transition from prototype to a scalable robust implementation.