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.
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 a talented Data Science Team Lead who will help design and manage data-driven strategies and algorithms within the companys core acquisition engine and deploy them end-to-end.

We hypothesize theories and prove them in production within hours (instant data gratification!). You will become the focal point of our data team and streamline processes, and will be responsible over company revenue streams.

If you enjoy a high level of autonomy in a fast-paced business and work environment within a growing organization - take a seat!

What you will do:
Lead and mentor a team of extremely talented and success-hungry Data Scientists.
Initiate & manage cutting-edge projects from inception to delivery, including developing structured and automated solutions.
Lead the data strategy: be responsible for planning, prioritizing and building the right data solutions to support business needs.
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems.
Identify and propose data science and algorithmic solutions for various product initiatives.
Use your excellent communications skills, both written and verbal, to explain technical concepts and analysis implications to senior leaders, and influence cross-functional teams to improve performance.
Partner with other departments (i.e. Management, R&D, Product) to support decision making.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With over $200M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
UVeye is looking for an experienced Data Analyst to join our Data team As our Data Analyst, you'll play a pivotal role in cleaning, analyzing static data, and contributing to the success of our data-driven culture.
A day in the life and how you’ll make an impact:
* Perform thorough cleaning and analysis of static data, ensuring accuracy and reliability.
* Conduct statistical and exploratory analysis to uncover patterns, trends, and key insights.
* Create insightful reports and visualizations that effectively communicate complex findings to various stakeholders.
* Work directly with stakeholders to understand their data needs and collaborate in making informed, data-driven decisions.

We are looking for a Product Analyst who will take part in building innovative, unique products and services for our publishers.
In this role, you will lead the analytics of products in your domain of responsibility and proactively guide our business growth, based on data analysis and statistical research, to ensure development of successful products.
We currently work in a hybrid work model giving employees the flexibility to work from home a few days a week. We have offices in Ramat Gan and Beer Sheva and are looking to grow to additional locations such as Jerusalem, where our employees have the opportunity to meet their teammates, connect with other teams and socialize with friends.
What are some of the things you do on a day-to-day basis?
Define and analyze A/B tests to optimize product performance and understand user behavior
Take part in product-related decisions and identify opportunities for product improvements
Research and analyze large volume data sets in order to generate useful conclusions and actionable recommendations
Develop data models and dashboards as well as find creative solutions for a variety of challenges never dealt with before.
Become the focal point for all data related matters, own and manage multiple data initiatives and projects on an on-going and an ad-hoc basis.
Work closely with R&D and Product teams, understand objectives and create products that contribute to the companys goals.

We are looking for an experienced Data Scientist who can leverage and develop innovative machine learning, NLP, and AI technologies, for solving problems within our Search and matching domain.
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 ML 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 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.
Act as a leader of our Data Science AI platform.

A day in the life:
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
Analyze our risk product, identify improvements, and communicate results with internal stakeholders, including leadership, to ensure these are incorporated into business processes.
Lead our risk model data science performance monitoring. Define, understand, and test opportunities to improve the product, and drive roadmaps through your insights and recommendations.
Deliver directions for future data science research that are related to the model performance.
Design data collection strategies and their applications for building new products. Collaborate with the data engineering team to define and implement data processing workflows.
Participate in the design of data preparation processes, ensuring seamless integration of business requirements and technical feasibility.
Exemplify and foster our humble, collaborative and impact-obsessed culture.

an exciting Artificial Intelligence well funded startup in the heart of Tel Aviv (a short walk away from Azrieli train station). leveraging Machine Learning and Computer Vision to bring AI to optimize passenger journeys, making security screening accurate, fast and labor free.

Job Description
We are looking for new team members who share our passion for finding answers to difficult questions and new radical ways to build scalable and trustworthy data & analytics solutions, helping every team in the organization make faster and better decisions.

Data is the underlying asset of our vision. You will directly impact the core value of the product. Youll play a pivotal role in our ongoing mission to develop an advanced analytic pipeline capable of handling diverse data types and forms without manual intervention. Your expertise in advanced analytics will help provide predictive insights that drive business growth.

The successful candidate will turn data into information, information into technology insight that will promote us in the product and business levels. The main role is to interpret data and analyze results using statistical techniques and tools for providing ongoing reports. The Individual chosen for this position will have the opportunity to promote unique ideas, data collection systems and other strategies that optimize statistical efficiency and quality.

This position allows great exposure and growth opportunities in the company.

Responsibilities:
Data sets and subsets generation. Mapping business requirements to a well defined set of benchmarks and tests (building the data infrastructure to be used for the models)
Conducting precise measurement, comprehensive analysis, and insightful conclusions on overall business, technology and product activities
Defining technical requirements in collaboration with various organizational departments and ensuring their seamless implementation.
Proactively identify trends and opportunities for improvement while sharing your findings with a variety of stakeholders and management team.
delivering actionable insights and tools that help teams from across the organization to make impactful decisions.
Stay up-to-date with the latest trends and technology in the data industry.
Define automatic processes regarding to reports and deep analysis

We're looking for highly talented, experienced, passionate, and data-driven Senior Data Scientists.
Create and develop ML models to drive the company forward and support decision making; while using data driven insights about our product, customers, business goals
Work in a team and independently, understand business requirements and how they relate to and support business KPIs.
Research creative data-driven ways to solve challenging real-world business problems
Design, establish, maintain and evolve the companys machine learning (ML) models
Develop production-level, scalable ML pipelines and models
Collaborate with analytics, business and data engineering teams and bring a proactive approach to handling anomalies and abnormal behavior within our DWH
Use your background in predictive modeling, advanced statistical analysis, ML practices and techniques and time series modeling to build new features and products.

We are looking for a highly motivated and experienced Principal Data Scientist to join our team! The Education Insights team in our Education builds and operates experiences to empower and delight learners and educators for the betterment of education of millions of users worldwide.

The successful candidate will have strong engineering capabilities with high Python proficiency and a deep understanding and experience in machine learning and AI. You will work closely with cross-functional teams to create cutting edge LLM-based experiences, make decisions using data and be responsible for developing innovative solutions that drive towards the future of AI in education. We are looking for enthusiastic and creative thinkers and doers to join us in meeting the challenge of shipping AI products that meet the needs of learners in a changing world.

Responsibilities:
Adopt, contribute to, and improve the teams existing technical stack and infrastructure to build differentiated features in the Education space.
Stay up to date with AI technology, advise on how we can adapt and embrace new technologies methodologies and ideas.
Provide hands-on technical work: design, analytics/modeling and fine tuning, dataset development, code reviews, development, quality assurance.
Build relationships with partners within our company (applied) Research Teams to bring innovation to new and existing products.
Foster a culture of inclusivity and disciplined data and software engineering practices to deliver business value, guided by data.
Creating and sustaining an effective team culture is extremely important to us. We value and promote a high trust environment where we work closely and effectively with others.
We emphasize a culture of continuous learning and so having a growth mindset and passion for learning is important. You should expect that your teammates will be invested in helping make you successful and expect the same in return from you. We recognize and celebrate the uniqueness of each person on the team and leverage our diversity to create more inclusive products for our customers.