לוח משרות דרושים Data Scientist

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 close to $400M 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.
We are hiring a highly skilled and motivated Research Scientist - 3D Generative AI to join our talented algo team. As a Research scientist, you will be responsible for developing and implementing cutting-edge multi-modality LLMs to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy genAI-powered solutions that enhance our products and services.
A day in the life and how you’ll make an impact: Designing, developing, and implementing multi-modality generative AI models and algorithm s utilizing state-of-the-art techniques
* Collaborating with cross-functional teams to define genAI project requirements and objectives, ensuring alignment with overall business goals.
* Stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
* Publish in high-profile venues such as Nature, Science, CVPR, NeurIPS, ICML or similar
* Optimizing existing generative AI models for improved performance, scalability, and efficiency.
* Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
* Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
* Contributing to the establishment of best practices and standards for generative AI development within the organization
* Providing technical mentorship and guidance to junior team members

Were seeking an LLM-Solutions Engineer to join our AI Lab & Internal Tools team. In this role, youll focus on leveraging language models alongside other generative models to create innovative solutions, prototypes, and tools that enhance creativity and productivity across our products. Youll work closely with cross-functional team members to develop workflows, integrate LLMs into projects, and ensure their seamless functionality within the teams experimental projects and tools.
Success in this position will require a strong mix of the following qualities: resourcefulness, independence, self-motivation, technical expertise, creativity, solution orientation, high energy, and passion.
What you will be doing
Design and implement solutions using LLMs, including prompt engineering, fine-tuning, and integration into workflows.
Build and optimize LLM-powered features to enhance creative workflows and automate internal processes.
Collaborate with Creative AI Specialists and the team lead to develop AI prototypes and tools that bring value to users and the team.
Experiment with emerging AI technologies to identify new opportunities and applications.
Translate complex AI capabilities into practical, user-friendly solutions.
Work with dedicated developers to ensure smooth integration and scalability of LLM-based features.

Required FinOps Specialist
What will you do?
The FinOps Specialist will ensure financial requirements are clearly defined and translated into effective system solutions. This role focuses on gathering, structuring, and documenting detailed requirements for financial systems, driving alignment between Finance and Technology teams.
Key Responsibilities:
Requirement Gathering & Documentation: Work closely with Finance teams to understand their needs, pain points, and objectives. Translate business needs into structured, detailed, and well-documented requirements for Technology teams.
Financial Systems Enhancements: Partner with MIS and BI teams to ensure financial systems meet evolving business needs. Define system improvements and validate solutions before implementation.
Cross-Team Collaboration: Act as the primary link between Finance, MIS, BI, PMO, and other relevant teams, ensuring smooth communication and alignment of priorities.
Process Optimization: Identify inefficiencies in financial workflows and propose system-driven solutions that enhance automation and accuracy.
Strategic Initiatives Support: Contribute to large-scale financial system projects by providing clear, structured requirements and ensuring business objectives are met.

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

This is a unique opportunity to join an exciting early-stage startup experiencing hypergrowth in a white-hot segment of the cybersecurity space.
a fast-growing cybersecurity startup and the creator of the first comprehensive software supply chain security solution. As software supply chain attacks rise sharply, platform delivers complete visibility, security, and integrity across all stages of the software development lifecycle (SDLC), helping companies protect against high-profile threats.

Founded in 2019, backed by YL Ventures and Insight Partners and has received significant industry recognition, including Cyber Defense Magazine's Top Infosec Innovator (2023) and multiple other awards in recent years.

As a Data Engineer , you will play a pivotal role in shaping our evolving data culture. You will be responsible for collecting, organizing, and analyzing data to provide valuable insights that drive informed decision-making across the organization. This is a "one man show" position, meaning you will work independently to manage all aspects of data engineering, from data collection to analysis. This is an opportunity to join a dynamic team and contribute to the development of data-driven solutions that drive business growth and innovation. If you are passionate about data and thrive in a collaborative environment, we encourage you to apply.

Responsibilities
Collect and gather data from various sources, both internal and external.
Organize and clean datasets to ensure accuracy and reliability.
Utilize appropriate tools and software to analyze and visualize data effectively.
Collaborate with cross-functional teams to identify data needs and requirements.
Develop and implement data collection strategies to support business objectives.
Interpret data and provide insights to inform decision-making processes.
Create reports and presentations to communicate findings and recommendations.
Assist in the development of data-driven solutions to address business challenges.
Stay updated on industry trends and best practices in data analysis.

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 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

We are looking for a Data Scientist- Autonomous.
The Research and 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

We are looking for a Customer-facing Data Scientist.
As a data scientist team member, you will work at the forefront of the data world, optimizing predictive models and assisting our clients to use those predictions to affect their business.
Together with the team, you will be continuously helping our clients achieve their business goals, and reinforce the value of modules, and the ease of use of our platform.
You will handle complex data science challenges using state-of-the-art techniques such as custom loss-functions, auto-encoders, embeddings, LSTM, and many more.

We are looking for a Data-Scientist who will join our Biostatistics group in Israel.
The Data Scientist will work in a multi-disciplinary environment involving software engineers, physicists, algorithm engineers and physicians.

This full-time position is reported to Senior Manager, Data Scientist and located at our R&D center, Haifa, Israel

ESSENTIAL DUTIES AND RESPONSIBILITIES:
Develop machine learning models to extract data from complex documents, such as electronic medical records (EMRs).
Perform survival analysis using state-of-the-art methods.
Collaborate with medical experts to enhance medical datasets, lead discussions, understand project needs from partners, and integrate their domain knowledge into production algorithms.
Work closely with engineers and scientists to incorporate data analysis methods into products.
Provide stakeholders with entrepreneurial guidance to interpret findings, build on them, and fully exploit their potential.
Write specifications and prepare presentations for patents, regulatory submissions, academic conferences, and other scientific publications.
Actively participate in the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation, and visualization.
Apply proven methods and hacking skills to work with diverse data types, scales, and big data, exploring and extrapolating data-driven insights using advanced predictive statistical modeling and testing on cleansed data from various sources.

Hiring a data Scientist Job Description:
* Predicting behaviors using advanced Machine Learning algorithms across various domains.
* Conducting statistical analysis and developing AI-driven information systems
* Designing and implementing cutting-edge AI solutions Researching and developing algorithms to enhance data -driven decision-making. Location: Full-time position, Sunday-Thursday, in Lod

We seek an analytically driven and strategic Revenue Operations Manager to join our team.
This role will be a critical partner to our C-level executives and revenue-focused leaders, leveraging data to identify growth opportunities, optimize processes, and drive actionable insights that enhance the customer journey and revenue performance.

we are looking for a Data Scientist to join our expanding data group. As part of our Data Science team, you will tackle complex challenges, from research to production. You will develop novel and innovative machine learning models to address one of the world's most significant clinical issues: cardiovascular disease. Your work will directly contribute to improving healthcare practices and enhancing the well-being of individuals.
Responsibilities:
Ownership of Predictive Modeling Projects: Design, implement, train, and monitor machine learning models, ensuring they are production-ready.
Research and Experimentation: Investigate and experiment with machine learning, optimization, and statistical algorithms to solve real-world problems that have a meaningful impact on healthcare.
Collaboration with Product Teams: Translate clinical research findings into actionable digital insights and work closely with product managers and developers to integrate solutions into existing systems.
Code Implementation: Write efficient, maintainable code for algorithms and models, focusing on practical application and performance optimization.
Agile Innovation: Quickly turn ideas into prototypes and solutions in a dynamic, research-oriented environment.

Develop AI Security Insights - Leverage advanced statistical and machine learning techniques to detect threats, anomalies, or vulnerabilities in AI-driven cloud environments.
Build and Optimize ML Models - Design, train, and evaluate models (including LLM-based solutions) for security-focused use cases, ensuring high performance and scalability.
Data Exploration & Feature Engineering - Conduct deep dives into complex datasets from various sources, transforming raw data into actionable features for robust model development.
Continuous Learning & Adapting - Stay current on the fast-paced AI landscape, enterprise use cases, and emerging threat vectors; adapt existing models and pipelines accordingly.
Cross-Functional Collaboration - Work closely with other data scientists, product architects, software engineers, and security experts to translate business needs into data-driven solutions and implement them into production pipelines.
Job Id: 22510

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 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.
Job Id: 22431