לוח משרות דרושים Senior Data Scientist

Required Senior Data Scientist
Job Description
What will you do:
As Senior Data scientist, you will shape the future of identity security and develop innovative AI/ML solutions that enhance security and protect the emerging agentic AI landscape in top organizations. Drive AI research and engineering to address evolving threats and protect critical digital assets effectively.
Drive AI/ML projects from research to production, leveraging advanced algorithms, LLMs, classification models, Unsupervised learning and optimization techniques to enhance cybersecurity solutions.
Model Building: Design, implement, and optimize machine learning models, including deep learning, using frameworks such as PyTorch, TensorFlow, Hugging Face, and scikit-learn.
Work closely with product manager, engineers, software architects and analysts to understand requirements, validate model assumptions, and deliver actionable insights.
Identify AI/ML impact opportunities and translate business needs into actionable roadmap items.
Stay current with the latest advancements in data science and apply best practices to ensure optimal performance.

We are looking for the best minds and spirits to join us in our journey. We know our product is only as great as the individuals building the hardware and software and harnessing data for worthy causes. Being a great team member means being eager to learn and grow, able to challenge and accept being challenged, and working for the team and the product with enthusiasm and passion.

The Senior Data Scientist is a unique position, bringing CTO-grade capabilities to the incubation and initial launch process of our products. As the data scientist you understand the physics underlying the product, devise the mechanism of its operation, work together with R&D to develop it, and then analyze results coming from customer installations. Your data analytics insights feedback into the development cycle, while your quick fixes to the AI models enable rapid response to product gaps discovered.

The Senior Data Scientist at will report to the VP Product.

Responsibilities:
Develop deep expertise in our Photonics technology stack and its applications.
Collaborate with expert colleagues in AI, data analytics, physics, weather services, and satellite imagery.
Gain a deep understanding of the physics behind each product feature, develop the operational methodology, and collaborate with R&D to design, build, and deploy it.
Work closely with R&D to translate product concepts into deployable features.
Analyze data from real-world customer deployments to identify product gaps and refine AI models.
Rapidly implement AI-driven improvements to enhance customer experience and inform future product iterations.

we are looking for a passionate, curious, dedicated Data Scientist. At our company we rely on insightful data to power our systems and solutions and are seeking an experienced data scientist to join our R&D team.
About us we are a leading provider of advanced communications & collaboration software and productivity solutions for the digital workplace and customer experience. Our innovative products, solutions and services for the UCaaS, CX and Conversational AI markets are used by large multinational large enterprises worldwide. As of today, 50 of Fortune 100 enterprises use our company's technology and solutions.
Conversational AI at our company Conversational AI technology enables machines to understand and interact with human language. our company's conversational AI solutions, integrated with advanced communications and collaboration software, as well as productivity solutions, offer innovative and intelligent services that automate and optimize voice and video processes, fostering innovation and differentiation. we empower businesses to gain a competitive edge and explore new opportunities for growth and expansion.
Job Description:
Talented data scientist with strong background in machine learning, deep learning, big data and ETL pipelines for a full-time job in Israel (center) under the media technology group. You will take part in the research and development of new AI based products for extracting insights from conversations, meetings, and chats.

Were looking for a talented Senior Data Scientist to join our Business Data Science team! As a data scientist, you will work with our marketing and finance leadership, to predict our growth, identify trends, and help us optimize the impact of our marketing budget spend, both in the B2B and B2C areas. This is an exciting opportunity to make an impact!
We are looking for someone who is not afraid of diving into new areas and challenges, thinks outside the box, and knows how to take a business challenge and turn it into a machine learning challenge, and vice versa. As communication and collaboration with different teams and stakeholders is a part of our day to day, we are looking for a team player.
What you will be doing
Lead end-to-end DS projects - from identifying business needs with stakeholders, to research, evaluation, production implementation, and monitoring.
Collaborate with diverse teams - marketing, finance, BI, ML Infra. effectively communicating insights and understanding various business aspects.
Address diverse problems across domains
Tackle challenges related to data, model assumptions, business needs limitations, and production

Join our AI & Innovation group as a Senior Data Scientist to enhance our Data-Science & Innovation team.

The team consists of highly talented individuals overseeing Data-Science, Security Research, Advanced Development and Architecture across all Threat Prevention products and services - Cloud, Mobile, End-Point and Network.



In this role, you'll focus on integrating AI technologies into our cutting-edge products, such as Copilotan AI-driven chat assistant designed for security administrators. Copilot is embedded across most of solutions, providing an exciting opportunity to drive impactful advancements throughout the company.

This position offers a great chance to contribute to the #1 global Cybersecurity Company, deepen your expertise, and leverage the vast data resources available within our Cybersecurity Products.



Key Responsibilities
As a Data-Scientist youll:

Design and develop a novel data-driven solutions that have the potential to deliver game changing results involving advanced AI and Algorithms.
Push the solutions all the way to a 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.
Enjoy the work and knowledge of Cyber Researchers, Analysts, Fellow programmers and Data-Scientist to deliver machine learning and analytics solutions.
Youll enjoy:

A fun environment where work-life balance is valued.
Exploring THE BEST Cyber Security Data source to be found.
Working in a start-up environment within a corporates stability.
Sharing your day with fun, passionate, brilliant people.

We are looking for a Senior Data Scientist.
The Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing:
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities