לוח משרות דרושים Senior Data Scientist בתל אביב יפו

We are looking for a passionate Senior Data Scientist to join our all-star team.
This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, results, marketing and data-oriented environment.
If you are experienced but still hungry to learn and impact - wed love to have you on our team!
What You'll Do:
Devise, initiate, manage and execute cutting edge exploration and exploitation projects.
Apply your knowledge of Data Science and algorithm development to create data solutions.
Analyze extremely large (petabytes) and diverse datasets to solve complex problems, and then develop algorithmic solutions to do it for you.
Proactively seek growth opportunities aligned with core KPIs.
Partner with other functions in the company, to support decision making.
Instant data gratification guaranteed!.

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.

As a part of our Search group, you will work on highly complicated challenges, from research to production, and help shape our algorithms and ML platform. You will work with Software Engineers, 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 around our search & matching engine: ranking, semantic search, user segmentation and personalization, Gen AI within our core mechanisms, real-time predictions, live streaming data utilization for our online models, etc.
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.

We are 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.

Assume ownership of multiple AI/ML solutions and features and deliver value to customers
Conduct data discovery of big data sources to identify potential applications and address specific problems
Design, implement and guide end-to-end machine learning pipelines from data processing to orchestration and MLOps
Think creatively about complex problems and deliver technological Innovation
Collaborate with others via open discussions, Design Reviews and Code Reviews

Were looking for a Staff Data Scientist to join our dynamic and collaborative team in Tel Aviv.
In this role, you will shape strategic initiatives in the domain of AI and algorithm development, driving the creation of deep and innovative capabilities that push the boundaries of AI-driven solutions. By blending cutting-edge methods in Generative AI and Applied Machine Learning, youll play a pivotal part in defining our next generation of advanced, data-driven products and services.
Here are a few of the things you will do:
Collaborative Team Player: Foster an environment where colleagues can thrive. Seek opportunities to enhance team effectiveness, share expertise, and promote a culture of continuous learning.
Lead Applied Research & Development: Drive projects from focused, time-bound experimentation using scientific tools to delivering robust, production-ready solutions.
Strategic Impact: Partner with cross-functional stakeholders to identify, prioritize, and execute on high-impact AI and ML initiatives, ensuring alignment with business objectives.
Hands-On Innovation: Stay up-to-date with the latest technical and scientific advancements in AI, maintaining an experimental mindset to test, adopt, and refine emerging techniquesparticularly in Generative AI and LLMs.
Full Solution Ownership: Take accountability for project outcomesgathering requirements, developing data-driven solutions, and ensuring smooth deployment and operation through best-in-class MLOps practices.

We are seeking a Senior Business Intelligence Specialist to partner up with our team of Business Intelligence and QA Specialists and collaborate effectively to ensure the accuracy, quality, and performance of our partnership intelligence dashboards. This role will be instrumental in ensuring our data solutions drive key business decisions for our clients, providing oversight and guidance to ensure the teams effectiveness in monitoring affiliate performance data.

As a key member in our team, you will manage and lead quality assurance processes, provide actionable insights, and help streamline data monitoring and alert systems. If you have a passion for improving processes, and driving data accuracy in consumer intelligence, we want to hear from you!

Responsibilities:

In-Depth Data QA and Oversight: Continuously evaluate and improve data monitoring and QA processes to enhance team efficiency and data quality. Implement best practices and create standard operating procedures for data verification, analysis, and alert management.

Quality Assurance Supervision: Oversee the regular QA checks conducted on partnership intelligence dashboards to ensure data integrity and consistency. Take a proactive role in resolving discrepancies and ensure the timely delivery of accurate reports.

Data Analysis & Reporting: Lead the analysis of trends and patterns in affiliate performance data to uncover areas for improvement. Prepare and present findings to internal teams in an easily understandable format.

Alert Management Oversight: Supervise the alert management system to ensure relevant alerts are delivered accurately to clients in a timely manner. Work with the team to assess the impact of alerts and determine corrective actions based on client preferences.

Cross-Functional Collaboration: Work closely with internal teams to foster communication and collaboration, ensuring alignment between the QA team and other departments such as R&D.

Were looking for a Data scientist Expert to join us and spread the power.
As a Data scientist you will be responsible for driving research and development initiatives to advance Artificial Intelligence and technologies. You will work closely with cross-functional teams to explore, innovate, and implement AI-driven solutions to tackle emerging threats, examine cloud security features, and enhance the companys security posture.
WHAT YOULL DO
Lead an applied research for AI-driven features in the platform
Cover a range of features - from leveraging LLMs to enhance customer investigation experience to novel usage of AI for cloud security
Collaborate with engineering teams to design, build, and maintain production pipelines
Work closely with the Security Research and Product teams to define research goals
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments
Stay abreast of cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions' accuracy, efficiency, and scalability.

Data is at the heart of how we make business and product decisions, and we are looking for a talented Data Scientist to help us develop advanced AI solutions that will empower impactful projects. The Data Science team leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product and optimize processes.

Required Senior Data Scientist
Apply Now
Job Description
As a Senior Data Scientist on our Customer Care team, youll focus on improving our customer care user experience using AI-based technology. You'll develop state-of-the-art LLM-based chatbot solutions and knowledge management systems. In your day-to-day, you will:
Develop and enhance LLM-based chatbot solutions and knowledge management systems
Apply and fine-tune generative AI models to improve user experience and customer care efficiency
Develop models for specific use cases like intent classification, ambiguity detection, retrieval re-ranking, etc
Collaborate with cross-functional teams to integrate AI solutions within existing frameworks
Mentor team members in AI techniques and best practices.

Partner with Product, Engineering and User Experience (UX) research teams to provide investigative thought leadership, support metrics research and advanced statistical analysis of user journeys across GIE surfaces and Google products
Identify metrics improvement areas, design new metrics, and evaluation methods
Perform large-scale data analysis and modeling to identify opportunities for deepening the understanding of end-user behavior, product improvements and measure the impact of initiatives on top level KPIs
Use statistical methods to design and suggest experiments and new ways to establish causality, estimate impact and answer strategic questions using data
Support teams with advanced experimentation methods, detect user learning effects, and drive actionable user insights. Make product recommendations with presentations of findings for multiple levels of stakeholders.

We are growing and are looking for future workers who value personal and career growth, team-work, and winning!
About us:
we are revolutionizing how IT and security teams gain comprehensive visibility and control over their digital assets and relationships. As the system of record for digital infrastructure, we solve complex challenges by delivering the critical context required to manage and secure devices, users, software, SaaS applications, and cloud services. By connecting to hundreds of data sources and automating key processes, we empower organizations to close security gaps and prevent incidents.
Learn more about us and take our Product tour.
This position will be part of our Innovation department, our company.
we are a business unit focused on developing our companys future cutting-edge products.
At our company, we explore new market opportunities and applications to build and bring to market industry-leading solutions that deliver new value for customers and fuel the companys expansion.
We operate as an independent unit, enjoying flexibility, numerous opportunities to make a significant impact, and engaging in meaningful and challenging work. Additionally, we have access to our company's resources, which enables rapid progress and reduced risk.
What your day will look like:
Be part of the founding data-science team, implementing new and exciting features, end-to-end, along with the product team, focusing on the algorithmic and machine learning aspects embedded in all our products.
As part of the founding team, you will be able to grow as a data scientist and define the theoretical and technical directions, and you will enjoy a lot of autonomy, responsibility, and ownership.
Apply your scientific knowledge and creativity to analyze large volumes of diverse and unstructured data and develop algorithmic solutions and models to solve complex problems.
Characterize and break down product use-cases effectively, choosing the right formalization and tools to best tackle them.
Research, design and apply advanced data processing technologies and methodologies, from a research playground to production. Contribute best practices to our backend applications and help pick the right frameworks and tooling for our company's next product.
Work closely with other team members, such as backend developers, product managers and data engineers, across all our groups and departments.
Build and promote quick prototypes/POC/demos to conceptualize innovative ideas
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms and machine-learning models in a production environment and then monitoring and maintaining them.
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue.

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.

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