לוח משרות דרושים הייטק דאטה

Who We're Looking For - The Dream Maker We're in search of an exceptional hands-on Data Scientist who can bridge data infrastructure, fraud analytics, and machine learning to enhance our fraud detection capabilities. This role requires someone who can drive projects from ideation to implementation , leading these efforts while thinking strategically about how we detect and prevent fraud at scale. Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud. Your Arena
* Develop and enhance fraud detection models from concept to production, focusing on data normalization, network analysis, and risk scoring
* Take ownership to identify, analyze, and implement solutions for fraud patterns and behavioral anomalies.
* Design, build and maintain data science pipelines and fraud intelligence systems to improve detection accuracy.
* Collaborate with product, engineering, and risk teams to implement fraud prevention strategies.
* Own projects end-to-end - balancing short-term wins with long-term strategy.

DealHub offers a cutting-edge quote-to-revenue solution designed to streamline sales processes, accelerate deal cycles, and deliver predictable revenue for mid-market and enterprise B2B SaaS companies. Our intelligent platform empowers organizations to connect their teams, simplify workflows, and close deals with efficiency and precision. About the Role We’re looking for a strategic, data-driven professional to take full ownership of the data function at DealHub. As our Data Operations & Analytics Lead, you will be the key figure connecting data across all departments: from Product to Sales, Marketing to Finance — transforming raw data into actionable insights that drive company-wide decisions. This is a unique opportunity to build and shape the way DealHub uses data at scale. You'll work closely with senior leadership, take an active part in setting KPIs, monitor business performance, and provide clear recommendations that impact our roadmap and growth. What you'll do:
* Own and lead all data-related operations across the company
* Partner with senior leadership to identify strategic goals, and build the KPIs and dashboards to track them
* Analyze company-wide data and turn it into insights, reports, and recommendations
* Work closely with the BI Developer to prioritize data infrastructure and dashboard needs
* Present insights to executive stakeholders and support data-informed decisions
* Identify opportunities for optimization across departments through data
* Build scalable, repeatable reporting and analysis processes

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.

You will specialize in designing and building world class, scalable data architectures, ensuring reliable data flow and integration for groundbreaking biotechnological research. Your expertise in big data tools and pipelines will accelerate our ability to derive actionable insights from complex datasets, driving innovations in improving patients outcome and in delivering life savings treatment solutions.

In this role, you will work closely with data scientists, analysts, and other cross-functional teams to understand their data needs and requirements. You will also be responsible for ensuring that data is easily accessible and can be used to support data-driven decision making.

Location: Ramat Gan, Hybrid Model

What will you do?
Design, build, and maintain data pipelines to extract, transform, and load data from various sources, including databases, APIs, and flat files.
Enhance our data warehouse system to dynamically support multiple analytics use cases.
Reimplement and productize scientific computational methods.
Implement data governance policies and procedures to ensure data quality, security, and privacy.
Collaborate with data scientists and other cross-functional teams to understand their data needs and requirements.
Develop and maintain documentation for data pipelines, processes, and systems.

looking for a skilled data engineer to join a cutting-edge project supporting a military technology unit. This role offers a unique opportunity to work on innovative cloud-based data infrastructure within a secure and challenging environment.

Responsibilities:
Data Infrastructure Development: Design, build, and manage advanced data infrastructure in Google Cloud Platform (GCP) to support the operational and analytical needs of the units clients.
Data Pipeline Engineering: Develop robust and scalable data pipelines in GCP, perform integrations with diverse data sources, and enable AI/ML workflows using tools such as Dataflow, Pub/Sub, and BigQuery.
ETL & DWH Automation: Improve, optimize, and automate ETL processes and data warehouse operations in the cloud.
Cross-Organizational Tech Support: Participate in high-impact, cross-organizational technology projects in a dynamic and innovative technical environment.

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.