לוח משרות דרושים הייטק דאטה, לחיפוש זה נמצאו 228 משרות

We are seeking a Data Analytics Team Lead to manage and deliver data analytics projects in the public transportation sector. This role combines hands-on analytical work with team leadership, managing and mentoring a team of analysts while delivering advanced analytics that generate meaningful business, operational, and strategic insights - including spatial based insights that are central to transportation planning and operations.
The ideal candidate is both a strong individual contributor and an effective people leader, with deep analytical and technical expertise, including geospatial/GIS analysis, and the ability to translate complex data into clear, actionable recommendations.
Key Responsibilities:
Lead, mentor, and manage a team of 4 data analysts, ensuring high-quality delivery and supporting professional growth, perform hands-on data analysis and guide the team in solving complex analytical problems
Delivering business, operational, and strategic insights derived from data analysis, including geospatial based analysis
Own end-to-end analytical workflows - from data ingestion and modeling to visualization, mapping, and client delivery
Serve as a trusted partner to the client, building strong working relationships, understanding evolving business needs, and translating them into analytical solutions.
Support the professional growth of team members through coaching, mentoring, knowledge sharing, and analytical guidance.
Develop analytical solutions using Python, SQL, Excel, Power BI, and GIS/mapping tools
Collaborate with business and technical clients across the organization
Drive adoption of AI-powered analytics, automation, and scalable data solutions.

We are looking for a Senior Fraud Analyst to serve as the technical cornerstone of our Fraud Prevention team.

In this role, you won't be managing a team; youll be managing the technical evolution of our fraud defenses. Reporting directly to the Fraud Prevention Director, you will act as a high-level individual contributor, bridging the gap between data science, engineering, and risk strategy. You will be responsible for pioneering the use of AI and advanced analytics to protect our community and ensure our platform remains the safest place for independent businesses to grow.

Here are a few of the things you'll do:

Technical Strategy & Architecture: Partner with the Fraud Prevention Director to define the long-term technical roadmap, moving us toward an AI-first, autonomous fraud detection ecosystem.

AI & LLM Integration: Design and implement Generative AI agents and LLM-powered workflows to automate complex forensic investigations, reducing the time-to-detect for emerging fraud vectors.

Advanced Detection Modeling: Develop and prototype sophisticated ML models and graph-based heuristics to identify collusion, synthetic identities, and fraud rings.

Cross-Functional Technical Lead: Serve as the primary technical consultant to Product and Engineering, ensuring that new payment features (like RTP or international expansion) are built with scalable, AI-driven safeguards from day one.

Expert Forensics: Act as an escalation point on high-stakes, large-scale fraud attacks, utilizing advanced Python and network analytics to deconstruct and mitigate threats.

Data Excellence: Set the standard for the fraud teams technical stack. You will optimize our SQL/Python environments and ensure our data infrastructure is capable of supporting real-time AI inference.

Job Details
we are a leading provider of cloud infrastructure management and monitoring solutions. We empower organizations to efficiently manage their cloud resources, identify issues, and gain insights. Our service enables businesses to optimize their cloud usage, improve security, and achieve greater operational efficiency.
Role Description
This is a full-time, on-site role for a Data Engineer at our company Ltd., located in Haifa. The Data Engineer will design, build, and maintain scalable data pipelines, implement robust Extract, Transform, Load (ETL) processes, and develop efficient data models to support business intelligence and data analytics needs. The role also involves building and improving data warehousing solutions and collaborating with cross-functional teams to ensure data integrity and optimize workflows.

A True Problem Solver Were looking for a Senior DS who thrives on End-to-End ownership. You aren't just given a dataset; you identify the business opportunity, architect the mathematical solution, and write the high-quality, production-ready code that brings it to life. This is the ultimate "DS Candy Store" for those who love research but live for the adrenaline of seeing their code drive real revenue.
What Youll Do:
End-to-End Ownership: Own the entire lifecycle: from defining the business problem and KPI to deploying and monitoring the solution in production
High-Scale Architecture: Design and implement ML models & handling high-cardinality data at massive scale
Engineering Excellence: Write clean, modular, and scalable code. We believe great Data Science is built on a foundation of great Software Engineering
Strategic Leadership: Mentor the team through complex technical hurdles and contribute directly to our algorithmic roadmap

What You'll Do:
Design, build, and maintain data pipelines and infrastructure.
Develop and implement data quality checks and monitoring processes.
Work with engineers to integrate data into our systems and applications.
Collaborate with scientists and analysts to understand their data needs.

our company is a multidisciplinary AI & Electro-Optics startup based in Raanana, developing life-saving vision systems for the global railway market. We are looking for a talented and self-motivated Annotation Specialist to join our Annotation team and work closely with our Algorithms department. This is a unique opportunity to make a real impact in a meaningful, safety-critical industry. Responsibilities:
* Be responsible for the ground truth annotation and tagging and channel accurate visual data to the deep learning pipeline.
* Work with various imagery sensors such as RGB, Thermal and visual geographical data.
* Work closely with internal teams to understand their requirements for annotated data.
* Suggest methods for improving work efficiency.
Advantages:
* Hands-on experience with Adobe After Effects
* Background in video editing and post-production workflows
* Experience working with Blender
* Familiarity with scripting languages such as Python and JavaScript

As a Data Platform Engineering Team Leader on the Infrastructure R&D Department in our Tel Aviv office, youll lead the engineering team behind the data platform powering our companys reporting, billing, experimentation, ML training, and revenue optimization. Youll shape the technical direction of one of our most critical platforms, grow exceptional engineers, and solve complex data infrastructure challenges at massive scale-building systems that are reliable, scalable, and easy to use.

We are looking for an experienced Data Infrastructure Team Lead to lead our Data Infrastructure team. In this role, you will have formal people-management responsibility for a multidisciplinary team that builds, productionizes, and improves big data and analytics infrastructure. You will be responsible for team delivery, combining technical depth, agile leadership, and an AI-first mindset to help the team build reliable systems, improve how it works, and continuously raise its engineering standards.

Location: Ramat Gan (Bursa area), Israel - Hybrid model

What will you do?

Lead, manage, and develop a data infrastructure team of approximately 5-7 people.
Take responsibility for team delivery, including planning, prioritization, execution, and continuous improvement.
Lead agile ways of working, including scrum-based delivery practices.
Guide the design, productionization, and ongoing improvement of big data and analytics infrastructure.
Partner closely with cross-functional stakeholders across technical, scientific, and business interfaces.
Help the team adopt AI-first engineering practices, including automation and AI-assisted development workflows.
Drive improvements in team processes, technical quality, delivery predictability, and collaboration.
Support architectural and technical decisions across cloud infrastructure, data pipelines, orchestration, and production systems.
Create an environment where team members can grow, contribute, and improve together.

The trivago innovation center is looking for a passionate and seasoned Senior Data Analyst to join our DATA team. In this role, you will take the analytical lead on our disruptive B2C product and play a key role in driving customer acquisition, marketing performance, and strategic business growth. The ideal candidate possesses strong analytical and commercial thinking, a deep understanding of large-scale data environments, and the ability to translate complex datasets into actionable business insights. You will partner closely with Data Science, Product, Marketing, and Business stakeholders to influence decision-making, optimize performance, and support scalable growth initiatives.

About the role:
How you’ll make an impact: Customer & Growth Analytics: Analyze customer acquisition funnels, campaign performance, and behavioral trends to identify growth opportunities and improve business performance. Strategic Decision Making: Partner with cross-functional stakeholders to provide actionable recommendations and support scalable, data-driven decision-making processes across the organization. Performance Optimization: Lead deep-dive analyses and A/B testing initiatives to optimize bidding strategies, channel efficiency, and marketing investments. Data Visualization & Reporting: Build and maintain dashboards, reports, and visualizations that deliver clear and impactful business insights to technical and non-technical stakeholders. Data Infrastructure Collaboration: Work closely with Data Science and Analytics teams on data modeling, tracking methodologies, and scalable analytics solutions. Business Impact: Translate complex analytical findings into measurable business outcomes while supporting the company’s performance and revenue goals.

About the Company:
About trivago Innovation Center (formerly Holisto) We’re part of trivago N.V. , a global B2C travel-tech company headquartered in D?sseldorf, Germany. At trivago Innovation Center, we harness the power of award-winning AI and machine learning technologies to make hotel bookings smarter, more affordable, and perfectly tailored to each traveler. Fueled by our passion for travel and technology, we’ve spent years researching, developing, and refining solutions that help millions of users save money every single time they book.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of AI-powered vehicle inspection systems, combining computer vision, machine learning, and generative AI. With over $380M in funding and strategic partnerships with Toyota, Amazon, General Motors, JLR, Volvo, and Hertz, our technology is deployed across manufacturing plants, dealerships, wholesale auctions, fleets, and seaports worldwide. Named one of Fast Company's Most Innovative Companies of 2026, our 300+ global employees are solutions-oriented, accountable, and driven by one shared goal: making roads safer for everyone.
We seek a highly skilled and motivated Data Operations Specialist to join our data annotation team. In this role, you will support a team of data annotation experts, ensuring the accuracy and reliability of annotated data. This role involves hands-on data annotation and tagging, integrating advanced technologies to streamline data operations, and collaborating with various departments to achieve organizational goals.
?A day in the life and how you’ll make an impact:
* Perform data annotation and tagging tasks as needed, maintaining high standards of accuracy and quality.
* Utilize cutting-edge technologies and tools to enhance data operations, improving annotation capabilities and overall project efficiency.
* Conduct performance reviews of third-party vendors and in-house team members to ensure alignment with project goals and adherence to high-quality standards.
* Oversee multiple concurrent projects, working collaboratively with various departments to meet project milestones and organizational objectives.
* Partner with algorithm developers to bridge the gap between labeling concepts and technical constraints, ensuring effective communication and alignment throughout the project lifecycle.
* Drive continuous improvement in data operations by optimizing workflows, creating automation solutions using Python, and implementing best practices to enhance efficiency and reduce manual effort.
* Exceptional interpersonal skills with a strong ability to build relationships, integrate smoothly into the company culture, and foster team collaboration.
* Service-oriented mindset with a high level of dedication to supporting both internal teams and external partners.

Join abra's Microsoft Division and help organizations design and deliver cutting-edge Data & AI solutions. We are looking for an experienced Data Solutions Lead to combine technical expertise, solution architecture, customer consulting, and hands-on delivery across complex data projects. What you'll do
* Lead solution architecture and design for enterprise Data & AI initiatives.
* Build Proofs of Concept (POCs) and stay hands-on with Python, SQL, and modern data platforms.
* Support presales activities, technical discovery, and technology selection.
* Guide customers through complex technical challenges and recommend best-fit solutions.
* Lead end-to-end delivery of advanced data projects while collaborating with technical and business stakeholders.

We are 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.

Required Senior ML Applied Research Scientist
Tel Aviv
As a Senior ML Applied Research Scientist, you'll help shape the future of AI by developing and deploying cutting-edge technologies that power our products and drive our AI strategy forward.
Working alongside researchers and engineers across Speech, NLP, Applied AI, and Infrastructure, you'll tackle complex real-world challenges using large-scale production data. This role combines hands-on research, strong engineering ownership, and the opportunity to work across multiple AI domains, including Speech, NLP, LLMs, and multimodal AI.
You'll own:
Building and improving our AI capabilities across speech recognition, speaker diarization, language identification, conversational intelligence, and LLM-powered experiences.
Evaluating, benchmarking, and integrating emerging AI technologies, models, and architectures into production-ready solutions.
Driving end-to-end ownership of AI initiatives, from research and experimentation through deployment, optimization, and continuous improvement.
You'll solve:
Complex AI challenges involving real-time transcription, conversational intelligence, multimodal understanding, and large-scale production systems.
Model performance, scalability, latency, and reliability challenges by applying advanced techniques such as fine-tuning, distillation, prompting, inference optimization, and data-centric improvements.
You'll impact:
The advancement of our AI platform and future product capabilities, enabling customers to gain deeper insights and make better business decisions.
The adoption of innovative AI technologies that improve product quality, accelerate development, and create measurable business value at scale.

Prisma-Photonics is a rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring, etc.). The company offers an award-winning disruptive solution; a “sensor free” approach to smart infrastructure. The company is VC backed and in the revenues stage. Combining pioneering technology in optical fiber sensing with state-of-the-art machine learning, we help prevent environmental disasters, protect human lives, and keep critical energy and transportation backbones running smoothly. We are seeking our Data Operations Team Leader! This person will oversee a team of data operations specialists responsible for labeling data for machine learning and AI projects. This role involves managing day-to-day operations, ensuring annotation quality and accuracy, developing guidelines, and collaborating with cross-functional teams to meet project deadlines and objectives.

Hiring Manager:
Guy Engel

What You’ll Do:

* Manage the end-to-end data workflow, from incoming data through annotation delivery to the ML teams, including overseeing data upload processes and ensuring data availability.
* Manage database operations and ensure the integrity and availability of annotation data.
* Become a Subject Matter Expert in our data and actively participate in hands-on annotation projects.
* Create and maintain onboarding materials, annotation guidelines, and operational documentation to support knowledge sharing and consistent annotation practices.
* Lead a team of Data Operations Specialists by managing task assignments, scheduling, and day-to-day execution. Provide the tools and processes needed for efficient work, ensure high annotation quality in collaboration with the ML teams, and continuously improve workflow efficiency
* Own the annotation platform, driving bug fixes, feature development, and workflow improvements using Python and GenAI tools.
* Develop and maintain operational dashboards and real-time performance metrics to monitor team efficiency, quality, and output.
* Collaborate closely with data scientists, machine learning engineers, and product managers to understand annotation requirements and project goals. Coordinate cross-functional communication, monitor operational KPIs, and oversee daily operations to keep projects on track and ensure adherence to shifting schedules.

What You Bring:

* STEM graduate or equivalent Technical background
* Experience leading a team of Data Operations Specialists or similar teams.
* Proven ability to manage multiple projects simultaneously and effectively prioritize competing responsibilities.
* Excellent communication and collaboration skills, with a demonstrated ability to build strong cross-functional relationships and foster team success.
* Experience developing internal tools and micro-services with Python, and leveraging GenAI tools to accelerate development and operational workflows.


Great to Have:

* Experience leading juniors and/or part-time students.
* Experience with seismic data and/or spectrograms.
* Experience designing, developing, or improving annotation tools and annotation workflows.