לוח משרות דרושים הייטק דאטה בתל אביב יפו

At UVeye, we are 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 $400 million 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 looking for an experienced Senior Data Engineer to join our Data team. In this role, you will lead and strengthen our Data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
A day in the life and how you’ll make an impact:
* Design and develop high-performance data pipelines and ETL processes to support diverse business needs.
* Work closely with business intelligence, sales, and other teams to integrate data solutions, ensuring seamless alignment and collaboration across functions.
* Continuously improve our data analytics platforms, optimizing system performance while ensuring a robust and reliable data infrastructure.
* Oversee the entire data lifecycle, from infrastructure setup and data acquisition to detailed analysis and automated reporting, driving business growth through data-driven insights.
* Implement robust data quality checks, monitoring mechanisms, and data governance policies to maintain data integrity and security, troubleshooting and resolving any data-related issues efficiently.

We are a Data and innovation team operating under the CTO group. We lead cutting-edge initiatives in data technologies and strategic innovation projects.

Our mission is to explore and implement new technologies and enrich the companys internal data assets through smart collection, integration, and automation.

We move fast, work across multiple domains, and maintain a culture that values curiosity, ownership, and impact.

This is an on-site position.



Responsibilities

Take end-to-end ownership of data pipelines: from extraction (web scraping, APIs), through transformation and orchestration, to delivering accessible and valuable datasets.
Integrate new and external data sources into the companys internal platforms.
Solve real-time issues and optimize pipeline performance through smart automation.
Collaborate with cross-functional teams to improve access to high-quality, structured data.
Work on multiple projects simultaneously in a dynamic and agile environment.
Lead and contribute to early-stage innovation projects directly impacting business strategy.

We are a global sports technology hub that offers multiple solutions to dozens of millions of users worldwide. The company provides Real-Time results, updated stats, original content, aggregated information, customized news feeds, and more. Our products are based on cutting-edge technologies that enable live updates and on-demand content libraries of the highest quality and scale. We are seeking a Senior data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements. Our team solves many challenges in turning raw data into accurate signals and extracting insights to improve the products. Appropriate candidates have an understanding of multiple components across the Big Data stack: large-scale data analysis, data quality, statistics, and visualization. If you are the kind of researcher who's focused on results and a quick learner, this role is for you. This position is located in our Tel Aviv office.
Responsibilities:
* Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
* Define, analyze, and monitor KPIs and OKR metrics to continually improve company products.
* Analyze large, complex data sets to address strategic and operational business questions.
* Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team.
* Perform qualitative, quantitative, and statistical analysis.
* True passion for understanding data and finding Insights.
* Provide actionable recommendations and conclusions from data to shape features and future product road maps.

the leading global financial news & data platform, is on the lookout for a Senior Data Engineer to join our growing data team!
In this role, you will design and develop scalable data solutions, optimize data workflows, and support critical business processes. You will work with a variety of databases and big data tools in a cloud environment, focusing on data modeling, governance, and analytics.

What youll be doing:
Design, develop, and maintain end-to-end ETL pipelines, from gathering business requirements to implementation.
Work with multiple database technologies, especially BigQuery.
Optimize data models (DWH, fact & dimension tables, RI, SCDs) for performance and scalability.
Implement data governance best practices and maintain comprehensive documentation.
Utilize Big Data tools in cloud environments (GCP preferred).
Develop and support complex business workflows and data processes.
Design and implement monitoring systems to ensure data quality throughout the pipeline.
Workflow orchestration using Apache Airflow.
Collaborate with analysts and stakeholders to ensure high-quality data for business insights.
Support and optimize Tableau infrastructure for data visualization.

As the Data Scientist Team Lead, you will oversee and guide our data science team, driving the development and deployment of advanced machine learning models, with a particular emphasis on Natural Language Processing (NLP). Your responsibilities will include managing and optimizing our Natural Language Understanding (NLU) models, leading prompt engineering efforts for Large Language Models (LLMs), and conducting thorough NLP assessments. You will also ensure the continuous monitoring and refinement of these models to maintain peak performance. These models will be seamlessly integrated into our core products, playing a critical role in advancing our strategic objectives.

What Youll Do:
Manage Data Science Team:
Responsibility of Fullstack DS from development to production.
Performing multiple assignments for Natural Language Processing (NLP).
Responsibilities over Natural Language Understanding (NLU) models.
Developing and implementing machine learning models in a production environment.
Handling prompt engineering tasks.
Monitoring and optimizing models.

We are making the future of Mobility come to life starting today.
At our company we support the worlds largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization.
At the heart of our platform lies the data infrastructure, driving advanced machine learning models and optimization algorithms. As the owner of data pipelines, you'll tackle diverse challenges spanning optimization, prediction, modeling, inference, transportation, and mapping.
As a Senior Data Engineer, you will play a key role in owning and scaling the backend data infrastructure that powers our platformsupporting real-time optimization, advanced analytics, and machine learning applications.
What You'll Do
Design, implement, and maintain robust, scalable data pipelines for batch and real-time processing using Spark, and other modern tools.
Own the backend data infrastructure, including ingestion, transformation, validation, and orchestration of large-scale datasets.
Leverage Google Cloud Platform (GCP) services to architect and operate scalable, secure, and cost-effective data solutions across the pipeline lifecycle.
Develop and optimize ETL/ELT workflows across multiple environments to support internal applications, analytics, and machine learning workflows.
Build and maintain data marts and data models with a focus on performance, data quality, and long-term maintainability.
Collaborate with cross-functional teams including development teams, product managers, and external stakeholders to understand and translate data requirements into scalable solutions.
Help drive architectural decisions around distributed data processing, pipeline reliability, and scalability.

We are making the future of Mobility come to life starting today.
At our company we support the world's largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization.
Data is at the heart of how our company makes 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.

We are seeking a skilled and motivated Data Engineer with expertise in Elasticsearch, cloud technologies, and Kafka. As a data engineer, you will be responsible for designing, building and maintaining scalable and efficient data pipelines that will support our organization's data processing needs.
The role will entail:
Design and develop data platforms based on Elasticsearch, Databricks, and Kafka
Build and maintain data pipelines that are efficient, reliable and scalable
Collaborate with cross-functional teams to identify data requirements and design solutions that meet those requirements
Write efficient and optimized code that can handle large volumes of data
Implement data quality checks to ensure accuracy and completeness of the data
Troubleshoot and resolve data pipeline issues in a timely manner.

we are seeking a Senior Data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements. Our team solves many challenges in turning raw data into accurate signals and extracting insights to improve the products. Appropriate candidates have an understanding of multiple components across the big data stack: large-scale data analysis, data quality, statistics, and visualization. If you are the kind of researcher who's focused on results and a quick learner, this role is for you. This position is located in our Tel Aviv office.

Responsibilities
Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
Define, analyze, and monitor KPIs and OKR metrics to continually improve company products.
Analyze large, complex data sets to address strategic and operational business questions.
Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team.
Perform qualitative, quantitative, and statistical analysis.
True passion for understanding data and finding Insights.
Provide actionable recommendations and conclusions from data to shape features and future product road maps.

We seek a Director of Data to join us and lead our data group.
As our Director of Data, you will be a key member of our R&D leadership team. You will be responsible for developing and executing a data strategy that aligns with our business goals, overseeing data management, analytics, and validation, and ensuring data integrity at every stage of product development and production.
A day in the life and how youll make an impact:
Define and execute a strategic data roadmap aligned with business objectives, fostering a data-driven culture and leading a high-performing team of data engineers, scientists, and analysts.
Establish robust data validation frameworks, ensuring product integrity and accuracy through all stages, from data acquisition to end-user delivery.
Build and optimize scalable data infrastructure and pipelines to support our data needs and ensure data security, compliance, and accessibility.
Collaborate with product and engineering teams to create and launch data-driven products, ensuring they are built on reliable data and designed to meet customer needs.
Guide the team in generating actionable insights to drive business decisions and product innovation in areas such as personalization, marketing, and customer success.
Implement data governance policies and maintain compliance with industry regulations and best practices.

We are looking for an experienced Senior Data Engineer to join our Data team.
In this role, you will lead and strengthen our Data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
A day in the life and how youll make an impact:
Design and develop high-performance data pipelines and ETL processes to support diverse business needs.
Work closely with business intelligence, sales, and other teams to integrate data solutions, ensuring seamless alignment and collaboration across functions.
Continuously improve our data analytics platforms, optimizing system performance while ensuring a robust and reliable data infrastructure.
Oversee the entire data lifecycle, from infrastructure setup and data acquisition to detailed analysis and automated reporting, driving business growth through data-driven insights.
Implement robust data quality checks, monitoring mechanisms, and data governance policies to maintain data integrity and security, troubleshooting and resolving any data-related issues efficiently.

At our company, fraud isnt just a problemits a puzzle. Were looking for a sharp, curious, and experienced Senior Fraud Data Analyst to take a leading role in uncovering abuse, analyzing behavioral anomalies, and developing data-driven strategies to stay one step ahead. If you love connecting the dots in messy data, challenging assumptions, and working with others to build smarter defensesthis role is for you.
What Youll Do:
Analyze & Interpret Data: Use SQL and Python to query large datasets, detect anomalies, conduct root cause analysis, and uncover fraud patterns while also providing prescriptive insights to optimize business performance.
Drive Business Insights: Identify trends in ad performance, diagnose inefficiencies, and provide data-driven recommendations that impact KPIs and company strategy.
Combat Fraud in Real Time: Identify fraudulent trends, investigate suspicious traffic patterns, and take action to mitigate risk.
Develop & Improve Detection Models: Work with data engineers and data scientists to refine fraud detection and optimize real-time prevention strategies.
Collaborate Across Teams: Partner with business stakeholders to strengthen fraud defenses across our platforms.
Stay Ahead of Fraudsters: Keep up with evolving fraud tactics and propose proactive solutions to prevent emerging threats.

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 Analyst to join our Data Group.
As a Senior Data Analyst, youll be at the forefront of driving business decisions in a fast-paced environment, leveraging advanced analytics, root cause analysis, and prescriptive statistics to uncover actionable insights. Collaborating with cross-functional teams, youll diagnose performance issues, optimize algorithms, and implement automation to streamline processes. Youll experience instant gratification as your insights and recommendations drive real-time changes that directly impact the business.
Analyze & Interpret Data: Harness your SQL expertise to query large datasets, conduct root cause analysis, and deliver prescriptive insights that drive impactful business decisions in real time.
Collaborate Across Teams: Partner with product managers, data scientists, and engineers to uncover trends, validate hypotheses, and address anomalies with data-driven precision.
Solve Business Problems: Apply advanced analytics and automation to diagnose root causes, implement solutions, and optimize performance in a fast-paced environment.
Drive Real-Time Impact: Experience instant gratification as your insights shape critical KPIs, enabling the business to adapt and grow in real time.