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Were looking for a Data Analyst with expertise in Tableau to join our growing data analytics team. This role is perfect for someone who thrives on turning data into actionable insights and enjoys working at the intersection of business and technology.
At Fetcherr, the Insights & Decision Science (IDS) team is where data meets storytelling. We take the hard work of our AI pricing engine and translate it into something airlines can actually see, trust, and act on - think rigorous statistical analysis with a human touch. If a number moves, we explain why. If a client has a question, we have the answer (and the chart to back it up).

We're looking for a Data Scientist to help us grow our advanced analytics team's capabilities. The ideal candidate is a data scientist with a relevant experience who is self-driven, motivated, independent and sharp
Design and operationalize causal-uplift measurement frameworks to quantify the incremental impact of pricing models
Lead data discovery and translate complex multidimensional data into actionable insights related to the pricing algorithms and their outcomes
Conduct research and experimentation to elaborate novel approaches to uplift measuring and a/b testing
Collaborate with revenue managers, data analysts, data engineers in order to encode airline business logic into modeling and technical pipelines
The Insights & Decision Science (IDS) team is where data meets storytelling. We take the hard work of our AI pricing engine and translate it into something airlines can actually see, trust, and act on - think rigorous statistical analysis with a human touch. If a number moves, we explain why. If a client has a question, we have the answer (and the chart to back it up).

We are seeking a talented and self-driven experienced Data Scientist to help advance our machine learning capabilities.This is a key role for someone passionate about leveraging machine learning to solve complex, real-world problems and deliver measurable business impact.
Responsibilities:
Develop and implement state-of-the-art econometric and machine learning models for demand forecasting.
Conduct research and experimentation to evaluate novel approaches for improving accuracy, robustness, and scalability.
Collaborate with cross-functional teams (including product, data engineering, MLOPS and Platform) to deploy ML systems in production.
Clearly communicate complex technical findings to non-technical stakeholders, including product leaders and executives.

We are looking for an Engineering Team Lead to lead the MLOps efforts - drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example.
You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform.
Responsibilities:
Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.
Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production.
Stay hands-on: contribute to design and code, review work, and set engineering standards.
Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.
Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.
Help evolve the platform, including our ongoing migration from Dask to Ray.

We are seeking an experienced Algorithm Team Lead - Optimization to lead our data science and data engineering efforts and oversee a team of skilled data engineers. This role combines hands-on technical leadership and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products.
The Price Optimization (PO) team is where insights become decisions. We work with large-scale customer data and market predictions - like demand forecasts - to drive revenue management decisions that actually move the needle.
At our core, we build and maintain the decision-making engine. That means designing the data pipelines that bring customer data in, and running it through an optimization engine that simulates the market - weighing competition, pricing constraints, inventory availability, predictive models, and each client's unique business policies - to generate the best possible price recommendations. As the final step before recommendations reach the client, quality, reliability, and attention to detail aren't just nice to have. They're everything.
You will lead the team through architecture decisions, development, and deployment of mission-critical systems-while growing and mentoring a high-performing team.
Responsibilities:
Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure.
Design, build, and maintain distributed data processing workflows (batch & streaming).
Drive best practices for data quality, validation, testing, and observability.
Own and evolve our data architecture in alignment with business and product goals.
Manage sprint planning, task breakdown, code reviews, and performance feedback for your team.
Contribute hands-on to key development tasks and architecture decisions.
Recruit, mentor, and grow the data science engineering team.

We are looking for Customer Support Engineer in our site in Netanya with a strong data background, who can provide ongoing support to our client while monitoring our production pipeline ensuring we deliver within the agreed SLA . You will be an essential part of the frontline support team responsible for providing prompt and efficient support and service to end-users experiencing technical issues with software. The primary responsibility is to ensure the timely resolution of data-related problems and to facilitate effective communication between end-users and higher-level support teams. The ideal candidate has relevant experience in data engineering. This role involves coordinating with various teams, managing schedules, and ensuring that production processes run smoothly and efficiently.
Work schedule:
The employee will be required to work 5 days a week, spread across the entire week, including Saturday and Sunday, with off-days during weekdays if shifts fall on weekends. The job is shift-based, with shifts occurring both during the day/evening/night and on weekends.
What You'll Do:
You will be responsible for maintaining and monitoring data pipelines that power our data science workflows while developing and maintaining production schedules.
Identify potential production issues and work proactively to resolve them.
Communicate any production delays or issues to relevant stakeholders and customers.
Maintain accurate records of production activities, including schedules, bugs and project status.
Coordinate with various departments (e.g., Data, DE, PO) to ensure timely completion of tasks.
Serve as the frontline support and provide prompt and efficient support to end-users experiencing technical issues with the platform.
Troubleshoot problems and offer effective solutions to maintain optimal user experiences.
Collaborate with other teams, including R&D and product management, to resolve customer issues.

Were looking for a System Architect to own the technical foundation of the Labs product end to end, from the whiteboard to production on Azure. Working closely with our Chief AI Officer, youll translate complex research assumptions and decisioning methodologies into clean, self-service products. You will port the right pieces of our engine into a lean new stack, make it integrate cleanly across the business environments our customers already run, and lead the coding yourself. This is a hands-on architect role, not an oversight role: you set the design and youre in the codebase every day.
A core part of the mandate is a fully agentic SDLC, building the product with AI coding agents end to end, not just building an agentic product. We expect a small team to ship like a large one by making agent-driven development the default way we design, write, and review code. Youll define how we do that.
What youll do:
Translate methodology into product. Partner with the Chief AI Officer to turn complex assumptions, math, and decisioning methodologies into clean, self-service products a customer can run without a data-science team.
Own the architecture. Design a scalable, cloud-native system on Azure, covering services, data flow, model-serving and the end-to-end decision pipeline, and keep it coherent as it grows.
Lead the coding. Set the standards, make the hard build-vs-buy calls, and write the core code yourself. Youre the technical center of gravity for the team. You will guide and work shoulder-to-shoulder with the other engineers through the architecture and the code, without managing them directly. Leadership here is by design and example, not by org chart.
Stand up a fully agentic SDLC. Establish how we design, generate, review, and ship code with AI agents end to end: the tooling, guardrails and CI gates that let a small team punch far above its size.
Stand up the environment. Establish a fresh, greenfield Azure environment for Labs on a Kubernetes-native, Everything-as-Code foundation: IaC (Terraform, Helm), GitOps (ArgoCD or similar) and CI/CD from day one. In the early days that means rolling up your sleeves on the platform groundwork (subscriptions, networking, environments), working hands-on alongside Microsofts teams to get us live.

We are looking for a passionate Sales Development talent with a proven track-record of B2B Sales experience, who can uncover and develop new opportunities from Outbound and Inbound activities as well as build a strong pipeline of sales opportunities to deliver upon sales targets.
You will play an important role in our marketing and sales efforts through the discovery and development of qualified leads that result in more opportunities which you will assist to drive towards Sales deals.
If you are fearless and relentless in creating a pipe of new opportunities from scratch for a highly-growth startup - your place is with us!
Responsibilities | What You Will Do:
The Sales Development Rep (SDR) will work with Marketing & Sales teams through demand generation efforts to uncover and create new sales opportunities which results in closed wins.
Learn and understand the organization's business drivers, challenges, pain points and growth opportunities.
Build and own an accurate and robust sales pipeline.
Locate, establish, develop and enrich new business relationships with influential contacts.
Contact prospects using phone, email and follow up in response to all inbound leads.
Book Intro & Discovery Calls for our Account Executives and Sales Directors.
Refine and optimize the sales pitch to best reflect the unique selling proposition and key differentiation points in front of potential customers.
Set and enforce strict SLA rules in follow-up and response rate as part of Sales cycles.
Follow a clear and defined Qualification Process.
Accurately log, track, and maintain records measurements on CRM.
Review the effectiveness of outbound campaigns, optimize call scripts and improve Sales playbooks.
Analyze and report on performance metrics and forecasts to senior management.
Representing TrenDemon with integrity professionalism at all times in all written and oral communications.

Were looking for a talented, ambitious, self driven developer with experience and knowledge in backend and frontend of vast web based systems. 5 years of experience.
Key Responsibilities:
Maintain, design and develop large scale cloud solutions that can handle millions of records per day.
Intensive hands-on work on the systems end to end flows
Develop web app using popular web framework

Were looking for an experienced and versatile Data Analyst to join our BI & Analytics team. In this role, youll partner closely with stakeholders across Sales, Marketing, Product, and Finance, owning analytics projects end-to-end from scoping to delivering insights, dashboards, and recommendations that drive measurable outcomes.
Responsibilities
Own end-to-end analytics projects: collaborate with stakeholders, define success metrics, and provide actionable recommendations
Translate business needs into metric definitions and data models; build reliable reporting layers and maintain clear documentation
Design, build, and maintain BI dashboards (e.g. funnels, KPI monitoring), ensuring accuracy, clarity, and adoption
Conduct deep-dive analysis to identify trends, anomalies, root causes, and growth opportunities across key business areas
Drive automation and operational improvements by leveraging AI tools alongside SQL and Python scripting
Scale our semantic layer and develop a company-wide AI data agent that answers business questions and delivers trustworthy analysis
Communicate insights to technical and non-technical audiences, influencing strategic decisions through clear, data-backed storytelling.

We're looking for exceptional Senior Back-End JavaScript developers, with expertise in Node.js. MongoDB, Express, Kubernetes, RabbitMQ, Cassandra and Snowflake.
In this role, you will take full ownership of product and feature development, using cutting-edge technologies, in a fast-paced and professional agile environment.
*Hybrid position.
Responsibilities
End-to-end feature development, from conception to production.
Participate in system design and architecture planning, for optimal software performance.
Take on independent responsibilities, while contributing to the team's collective goals.
Actively learn, adapt and stay up-to-date with the evolving tech landscape, including best practices.

Were looking for exceptional Senior Backend JavaScript Developers to join our DCA_csm team, with deep expertise in Node.js and building production-grade backend services.
In this role, you will take end-to-end ownership of product and feature development, building SaaS applications and services in a microservices architecture, using modern technologies in a fast-paced and professional environment.
Tech Stack:
Node.js, JavaScript, MongoDB, Kubernetes, Redis (including Redis Streams), Snowflake
(plus additional relational/NoSQL data stores as needed)
Responsibilities
End-to-end feature development, from design and implementation to production rollout and ongoing improvements.
Build and operate backend services with a strong focus on scalability, reliability, and performance in a microservices environment.
Participate in system design and architecture planning, and contribute to technical decisions across the team.
Work with asynchronous, message-driven components using Redis Streams, including debugging, tuning, and ensuring resilient processing.
Write high-quality, maintainable code with appropriate test coverage; participate actively in code reviews.
Collaborate effectively with teammates and cross-functional stakeholders to deliver high-impact outcomes.
Continuously learn, adapt, and stay up-to-date with best practices and evolving technologies.

Were looking for exceptional Senior Backend JavaScript Developers to join our DCA_csm team, with deep expertise in Node.js and building production-grade backend services.
In this role, you will take end-to-end ownership of product and feature development, building SaaS applications and services in a microservices architecture, using modern technologies in a fast-paced and professional environment.
Tech Stack:
Node.js, JavaScript, MongoDB, Kubernetes, Redis (including Redis Streams), Snowflake
(plus additional relational/NoSQL data stores as needed)
Responsibilities
End-to-end feature development, from design and implementation to production rollout and ongoing improvements.
Build and operate backend services with a strong focus on scalability, reliability, and performance in a microservices environment.
Participate in system design and architecture planning, and contribute to technical decisions across the team.
Work with asynchronous, message-driven components using Redis Streams, including debugging, tuning, and ensuring resilient processing.
Write high-quality, maintainable code with appropriate test coverage; participate actively in code reviews.
Collaborate effectively with teammates and cross-functional stakeholders to deliver high-impact outcomes.
Continuously learn, adapt, and stay up-to-date with best practices and evolving technologies.

Were looking for exceptional Senior Backend JavaScript Developers to join our DCA_csm team, with deep expertise in Node.js and building production-grade backend services.
In this role, you will take end-to-end ownership of product and feature development, building SaaS applications and services in a microservices architecture, using modern technologies in a fast-paced and professional environment.
Tech Stack:
Node.js, JavaScript, MongoDB, Kubernetes, Redis (including Redis Streams), Snowflake
(plus additional relational/NoSQL data stores as needed)
Responsibilities
End-to-end feature development, from design and implementation to production rollout and ongoing improvements.
Build and operate backend services with a strong focus on scalability, reliability, and performance in a microservices environment.
Participate in system design and architecture planning, and contribute to technical decisions across the team.
Work with asynchronous, message-driven components using Redis Streams, including debugging, tuning, and ensuring resilient processing.
Write high-quality, maintainable code with appropriate test coverage; participate actively in code reviews.
Collaborate effectively with teammates and cross-functional stakeholders to deliver high-impact outcomes.
Continuously learn, adapt, and stay up-to-date with best practices and evolving technologies.

our company, the industry leader in the web data domain, is looking for students for a part-time Technical support Representative position.
The position is part-time, in shifts that include nights, weekends and holidays.
Location: Poleg, Netanya
Responsibilities
Providing our company's customers with timely and accurate technical support
Independently understanding and solving technical problems using internal documentation
Clarifying problem solutions to customers and providing them with the best workflows
Interacting with other departments to clarify issues and escalate them when required.