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Did you know that over 50% of connected devices in hospitals pose critical risks, threatening patient safety? At our company, were not just transforming healthcare cybersecuritywe save lives. Our mission is to empower hospitals and clinics across the U.S. and Europe with cutting-edge solutions that mitigate over 90% of critical device risks. By securing these vital systems, we help ensure patient safety and operational stability, so healthcare providers can focus on what they do best: save lives.

Why join our company?

Create a Meaningful Impact: Join a company at the intersection of cybersecurity and healthcare, delivering a product that safeguards medical/IoT/IT systems and improves patient safety.
Join us and be part of one of Duns Top 5 Best Startups to Work For in Israelan honor weve earned for the third year in a row!
Tackle Exciting Challenges: Work with large-scale data and help shape a platform used by an expanding customer base.
Embrace Cutting-Edge Technology: Were always open to innovation, regularly adopting new technologies suggested by our developers.
Grow with Us: Be part of a growing company with opportunities to advance your career while working on exciting new tools and products.
Hybrid Work Model: Enjoy flexibility with a hybrid work setup (Twice a week from the office)
Prime Location: Were conveniently located by the Bursa in Ramat Gan, right on the train line for easy commuting.

How Youll Contribute:

Build a large-scale data-oriented product for healthcare customers
Design and scale data pipelines handling 300,000 requests/second
Use state of the art tools like Clickhouse and Quickwit to build security products like our NDR and PRM products
Take full ownership of features from concept through design, development, and production.
Work with cross-functional teams in a rapidly growing, innovation-driven environment

We are looking for a highly skilled Senior Data Analyst with strong technical expertise and a passion for analyzing and optimizing mobile app performance. The ideal candidate will have extensive experience in data analysis, A/B testing, and working with causality models to drive actionable insights.
If youre passionate about the data analysis, and driving business growth through insights, wed love to hear from you!
Responsibilities:
Identify improvement areas through data analysis, aligned with the companys strategic vision and goals.
Collaborate with cross-functional teams to translate data findings into business strategies.
Define, conduct and analyze A/B tests to evaluate the effectiveness of different product initiatives.
Developing and monitor dashboards and reports that provide visibility into platform health, user behavior, and key usage trends for stakeholders.

Required Senior Data Scientist
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems in recommendations and classification. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe.
As a Senior Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale.
Responsibilities
Work with management and partner teams to design and implement solutions in recommender systems for given objectives.
Lead technical efforts to improve the performance of deep learning models and propose initiatives to impact company goals directly.
Autonomously find solutions to complex problems in social network recommendations and understand the data generation process and challenges with the data.
Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.

Required Director, Analytics Risk & Fraud
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
As a Director in Analytics, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high scale.
As a senior manager, you are expected to create an alignment across different divisions, focus on strategic business KPIs and lead other managers to collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business.
Responsibilities:
Lead the development and optimization of spam and fraud detection systems using machine learning and rule-based engines.
Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud solutions.
Ensure adherence to KYC, AML, and other financial regulations while managing fraud risks.
Leverage the extensive data received from our application to enhance model performance and accuracy.

Required Data Science Team Lead
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe.
As a Data Science Team Lead your leadership and expertise will progress our AI vision and strategy. This role demands a strong background in mathematics and statistics. You will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models to solve real-world problems at a high s
Responsibilities:
Be a technical leader of data scientists, with substantial scope, impact, and visibility. Mentoring and providing guidance and support to foster their growth and success.
Work with management and partner teams to design and implement key results for the companys most strategic initiatives.
Own the full data science lifecycle, including problem definition, data collection, model development, evaluation, deployment, and monitoring.
Autonomously find solutions to complex data science problems, with potentially non-trivial solutions, and understand the data generation process and challenges with the data.

We are looking for a highly motivated candidate to join our Data Science team.
If you are passionate about NLP and have 4+ years in the field, this is for you!
Lets get down to business:
What Youll Do:
Design, experiment, research, develop and productize advanced NLP solutions in various domains: classification, summarization, translation, enrichment, explainability, information extraction, information retrieval, and so on.
Finding the latest technology to improve our AI capabilities in a variety of languages.
Using advanced deep learning and large language models, to enhance our ability to find the needle in a haystack in the world of structured & unstructured data of financial electronic communication.
Develop processes and tools to monitor and analyze model performance and data accuracy
Innovate, develop, and test state-of-the-art approaches to solve our challenging problems: domain adaptation, fine-tuning, prompt engineering, zero- and few-shot learning, using open and close large language models.
Assist and mentor other team members in the implementation and research.
Help to lead the technical roadmap.