דרושים » ניהול ביניים » Senior Data Scientist

Join our AI & Innovation group as a Data Scientist and help shape the future of AI-driven security solutions. Youll work with a team of passionate, sharp-minded professionals tackling complex challenges at the intersection of AI, data science, and cybersecurity building the next generation of security products at the core of Check Points strategy.

Youll have access to some of the best cybersecurity data sources available, working in a fast-moving, dynamic environment that blends the agility of a startup with the scale and stability of a global leader.

If youre excited about solving real-world AI challenges, translating research into impactful solutions, and collaborating with top talent to push the boundaries of innovation we want to hear from you.

Key Responsibilities
Translate ambiguous product or business challenges into well-defined data science problems
Research and prototype cutting-edge AI techniques (LLMs, RAG, knowledge graphs, etc.)
Design and implement data-driven algorithms, analyze data, build and evaluate models
Collaborate with engineering to deploy scalable, production-ready solutions
Work with product teams to align AI solutions with user needs and business goals
Collaborate cross-functionally with engineers, product managers, and fellow scientists to bring research into production and deliver measurable impact
Stay current with advancements in AI/ML and generative AI, and actively contribute to innovation within the team and broader organization

We are looking for a strong, hands-on Data Scientist to join our ThreatCloud AI group.

In this role, you will join a R&D team that researches, designs, and develops Check Points Zero Day prevention solution, and provides state of the art AI based prevention of malicious and phishing attempts on a global scale.

This is a unique opportunity for you to gain expertise and experience utilizing vast data collection, and to deliver game changing results in the Cyber Security realm

Key Responsibilities
Join the research and development of new innovative capabilities for cyber security, involving advanced AI and Algorithms.
Quickly iterate on design approaches and POCs based on data-driven research and user feedback.
Design and develop a novel data-driven solutions that have the potential to deliver game changing results involving advanced AI and Algorithms.
Enjoy the work and knowledge of Cyber Researchers, Analysts, Fellow programmers and Data-Scientist to deliver machine learning and analytics solutions.
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.

SuperSonic is looking for a passionate Senior Data Scientist, to work end to end on some of our core problems. Solving these will help drive revenue and improve decision making.
As a Full Stack Data Scientist you will be handed with a business problem and will be asked to provide an end to end solution - Unpack and thoroughly understand the business problem, define the strategy to deal with it and develop & deploy your solution along with relevant support.

What you'll be doing
Design and implement end-to-end solutions from business needs all the way to live deployment
Monitor and own models in production
Model, design, and implement machine learning and data mining algorithms
Perform deep data analysis to evaluate performance and recommend improvements
Help, guide and support our business partners to allow for scale and accuracy while adopting your solutions

One Security Operations Center (SOC) is a new team under Modern Protection & Security Operation Center, our vision is to empower every SOC team to protect their entire digital estate, optimize for their unique environment and needs. We build the ultimate unified one-stop-shop solution, making SOC teams most effective and efficient and deliver optimized protection that meets customers where they are, leading Extended Detection and Response (XDR)+ Security Information and Event Management (SIEM) market.
We are looking for an innovative data scientist with NLP expertise, strong technical skills and desire to make significant impact through data and research. A successful candidate will be an excellent hands-on applied data scientist who is enthusiastic about NLP, LLMs, data, security, and real-world problem solving
Responsibilities
As a senior data scientist on our team, you will work closely with other data scientists, security experts, software engineers, and product managers to tackle many different types of problems. You will utilize generative AI tools, anomaly detection algorithms, supervised and unsupervised learning methods, statistical methods, time series analysis, and more, to help customers investigate security incidents and protect their environments. You will be up to date with our customers needs and the competitive landscape and work with internal and external teams to build advanced solutions for SIEM and XDR. You will process hundreds of PBs and code mainly in Python and PySpark. You will be independent but surrounded by a large team of strong and experienced multi-disciplinary researchers

In this role, you will be responsible for delivering fast-paced, data-driven insights that fuel critical product and business decisions. You will conduct ad-hoc analyses to investigate user behavior, identify product opportunities, and surface key findings that will directly inform Waze's roadmap. You will collaborate closely with Product Managers, Program and Operations Managers, Marketing Managers, and other Data Scientists to handle unique and challenging problems at the core of the Waze product.

Waze is where people and technology meet to solve transportation challenges. It's a platform that empowers users to contribute road data and edit Waze maps to improve the way we move about the world. As the social navigation pioneer, Waze leverages mobile technology and a passionate global community to redefine expectations of todays maps.

Responsibilities
Lead process for setting data-driven goals, develop forecasting models to predict growth, and assess impact of high-priority growth initiatives and develop a long-term plan for enhancing Waze's attribution methodologies.
Monitor Waze's performance against goals, analyze root causes of deviations, and provide executive leadership with data-driven insights for informed decision-making.
Collaborate on in-depth analytical projects, uncover insights to drive product enhancements and improve user experience. Ensure Waze and Geo are aligned on key metrics, identify proxy metrics, and guide the design of new metrics to provide a comprehensive view of driving behavior across platforms.
Drive efforts in leveraging next generation data science capabilities to address new problem areas.
Serve as a thought leader within Waze and beyond, using data analysis and business acumen to shape product roadmaps, measurement strategies, and drive strategic decision-making.

We are looking for researchers and applied scientists to join the Central Applied Science team. Central Applied Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be empowered to drive impact across a range of products, infrastructure and company operations. Individuals in this role are expected to have expertise and publications within research areas in the board field of machine learning. The ideal candidate will have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems.
Research Scientist, Central Applied Science Responsibilities
Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.
Develop novel quantitative methods on top of Meta's unparalleled data infrastructure.
Learn new tools, systems, and programming languages quickly as required by the particular project you are working on.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Communicate best practices in quantitative analysis to partners.
Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value.
Publish research results in top-tier conferences and at leading journals.
Actively identify new opportunities within Meta's long term roadmap for applied science contributions.