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We are looking for a passionate Senior Data Scientist, to work end to end on some of our core problems. Solving these will help drive revenue and improve decision making.
As a Senior Data Scientist you will be handed a business problem and will be asked to provide an end to end solution - Unpack and thoroughly understand the business problem, define the strategy to deal with it and develop & deploy your solution along with relevant support.
What you'll be doing:
Design and implement end-to-end solutions - from business needs all the way to live deployment
Monitor and own models in production
Model, design, and implement machine learning and data mining algorithms
Perform deep data analysis to evaluate performance and recommend improvements
Help, guide and support our business partners to allow for scale and accuracy while adopting your solutions.

We are looking for an experienced NLP Data Science Team Leader to lead a team of talented NLP Data Scientists and drive the development of cutting-edge NLP solutions at scale. This role combines hands-on technical leadership, people management, and strategic influence over product and research directions.
Responsibilities:
Lead and grow a team of NLP Data Scientists
Manage, mentor, and support team members professional development
Foster a culture of excellence, ownership, and continuous learning
Own end-to-end delivery of NLP solutions
Oversee algorithmic features from ideation through research, development, and production
Ensure high-quality, scalable, and maintainable solutions
Drive technical direction and innovation
Guide research efforts and evaluate new NLP/ML technologies
Translate business needs into impactful NLP solutions
Collaborate cross-functionally
Work closely with Product, Engineering, and Business stakeholders
Align team priorities with company goals and product roadmap
Maintain hands-on involvement
Contribute to architecture, modeling, and critical algorithmic challenges
Review code, experiments, and methodologies

We are looking for an experienced and visionary Data Engineer to help design, build, and scale our BI platform.
In this role, you will be responsible for developing our data analytics platform - enabling scalable data pipelines and robust data modeling to support real-time and batch analytics to provide insights that serve both business intelligence and product needs.
You will be part of the R&D team, collaborating closely with engineers, analysts, and product managers to deliver a modern data architecture that supports internal dashboards and future-facing operational analytics.
If you enjoy turning raw data into powerful insights and owning the full data lifecycle, this role is for you!
Responsibilities
Take full ownership of the design and implementation of a scalable and efficient BI data infrastructure, ensuring high performance, reliability, and security.
Design and architect data products, from ingestion to transformation, modeling, storage, and access.
Build and maintain ETL/ELT pipelines, batch and real-time, to support analytics, reporting, and product integrations.
Establish and enforce best practices for data quality, lineage, observability, and governance to ensure accuracy and consistency.
Integrate modern tools and frameworks such as Airflow, Databricks, Power BI, and streaming platforms.
Collaborate cross-functional with product, engineering, and analytics teams to translate business needs into data infrastructure.
Promote a data-driven culture - be an advocate for data-driven decision-making across the company by empowering stakeholders with reliable and self-service data access.

We are looking for a Senior Data Architect to help define and evolve the data architecture of our SaaS platform and core products. You will work closely with product, delivery, and engineering squads to design scalable, reliable data systems, set technical direction for how data is ingested, modeled, stored, and served, and guide teams in making high-quality architectural decisions that balance delivery speed with long-term sustainability.
This is a hands-on, senior technical leadership role: you will spend most of your time shaping data architectures with teams, reviewing data models, pipelines and critical code, and driving shared standards and patterns across the organization, all in an advanced agentic environment.
Responsibilities:
Define and evolve the data architecture for key domains (ingestion, ELT/ETL, data modeling, storage, APIs, integration, observability, governance, and security), including owning the lakehouse/medallion architecture (bronze/silver/gold) and the data flows that move data across layers at scale.
Translate business and product requirements into pragmatic data designs, data contracts, and architecture roadmaps; create and maintain architecture artefacts (data flow/lineage diagrams, ADRs, reference implementations, modeling guidelines).
Evaluate design options and technology choices, articulate trade-offs, and lead decision-making with stakeholders; push forward the agentic mindset and implementation across the data platform.
Partner with squad leads and senior engineers to design data solutions, break down complex problems, and keep implementations aligned with the target architecture; participate in design/tech reviews to ensure NFRs (performance, scalability, data quality, resilience, security, operability) are addressed early.
Provide hands-on support where it matters most: spike and prototype critical data flows, review complex PRs, and help debug tricky production data and pipeline issues.

Required Software & Data Engineer
Tel Aviv
As a Software & Data Engineer, you will play a central role in building and evolving the data infrastructure that powers one of the world's leading transportation platforms. You'll work with rich, complex transportation data - from ride bookings and payments to real-time operational signals - designing the pipelines and systems that turn raw data into clean, reliable, and actionable insight across the business. This is a high-ownership role on a talented and deeply motivated engineering team in Tel Aviv, where your work will directly shape how we understand and improve our service for cities and riders around the world.
About the Role:
Design and build highly scalable, reliable data pipelines that serve clean, structured data across our engineering, product, and business teams - ensuring the entire organisation can trust the data it works with
Own the architecture of complex data models that translate messy, real-world transportation data - bookings, payments, driver activity, and more - into systems that are fast, efficient, and built to scale
Lead end-to-end development across the full data lifecycle: from architecture and design through to deployment, monitoring, and continuous improvement
Proactively monitor data quality and reliability, identifying and resolving discrepancies before they reach stakeholders - building the kind of data infrastructure people can depend on
Collaborate with a broad forum of engineers, analysts, and business stakeholders to identify data needs, design POCs, and ship scalable solutions that make a real difference to how we operate
Contribute to the adoption and evolution of our modern data stack, including DBT, Airflow, Iceberg storage, and AWS big data tooling such as Glue, EMR, and Athena.

we are 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 youll 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 companys performance and revenue goals.

We're looking for a hands-on Senior AI Engineer to provide technical leadership within our Generative AI team.
This role is designed for engineers who enjoy combining deep hands-on development with technical leadership. You'll drive technical decisions, shape solution architecture, mentor engineers, and help define engineering best practices while remaining actively involved in designing and building production-grade AI solutions.
Working closely with customers and multidisciplinary teams, you'll help transform complex business challenges into scalable AI systems that deliver measurable business value.
What You'll Do:
Lead the technical design and delivery of end-to-end GenAI solutions, from architecture through production deployment.
Design, build and maintain production-grade AI applications and backend services using Python.
Develop LLM-powered solutions, including retrieval-based architectures, AI agents and orchestration workflows.
Drive architecture decisions for prompt engineering, retrieval pipelines and model evaluation.
Translate business requirements into scalable AI architectures and technical solutions.
Provide technical leadership through design reviews, code reviews and engineering mentorship.
Contribute to engineering standards, best practices and technical excellence across projects.
Evaluate emerging AI models, frameworks and technologies, incorporating them into production solutions where appropriate.

This is a software engineering role. You'll build and operate the backbone of Fiverr's data platform: distributed pipelines, warehouse infrastructure, and production services processing billions of events, each of which believes it is the most important one. If you think of yourself as an engineer first who happens to work with data, read on. Join our dynamic Data department as a Senior Data Engineer, where you'll play a pivotal role in launching a critical new data product. This is an opportunity to elevate our engineering rigor and deliver innovative solutions for the world's most popular freelance marketplace, tackling complex challenges in distributed data systems and backend engineering. This is not an analytics role: you won't be building dashboards, you'll be building the systems dashboards depend on and never thank.


What am I going to do?:

* Architect and design robust schemas, ensuring scalability and performance. Bonus points if they still make sense to you at 2am during an incident.
* Build production-ready features end to end: data pipelines, backend services, and user-facing elements when needed. Your center of gravity is the backend and data systems.
* Orchestrate and optimize data pipelines, guaranteeing reliable and timely data delivery. You know the difference between a DAG that is elegant and one that is a cry for help.
* Provide technical leadership to enhance software engineering standards across the team, mentoring other developers.
* Treat performance and cloud cost as first-class design constraints across storage, compute, and pipelines.
* Collaborate daily with engineers, analysts, and business stakeholders, who all speak slightly different dialects of data. You will be fluent in all of them.

Equal opportunities:
At Fiverr, we know that talent has no single face. We welcome talent from everywhere and everyone because it makes everything we build better. Need accommodations? Just ask. And if this role excites you but you don't tick every box, apply anyway. The best people rarely fit the mold exactly.

we are looking for a Data AI Engineer.
Join our global Data team, which partners closely with Product, Engineering, and Business stakeholders to power data-driven decision making and AI-driven products across . The team operates in a fast-paced, high-growth environment, building AI solutions, data foundations, and analytical frameworks that directly influence product strategy and customer outcomes.
What youll do
Design and build LLM-powered systems that directly improve product capabilities and customer experience - enabling Product, Engineering, and Business teams to make faster, smarter, data-driven decisions at scale
Evaluate and quantify the business impact of AI initiatives through rigorous experimentation, benchmarking, and model evaluation to continuously optimize LLM performance
Continuously monitor, refine, and evolve AI models and solutions - iterating on prompt engineering and deployment practices to keep pace with rapidly advancing capabilities and shifting business needs.
Leverage AI-assisted development tools (e.g., Cursor, Claude Code) to accelerate delivery speed and engineering velocity across the team
Analyze large-scale datasets to surface strategic insights, define and track critical KPIs, and translate analytical findings into actionable product and business recommendations.

We're looking for a Senior Applied AI Scientist to sit at the frontier of AI security - turning emerging threats into the detection models that protect how AI is used inside the world's largest organizations. You'll be part of the AI Security Research department, working hand-in-hand with security researchers to translate threat intelligence into trainable signals that catch malicious behavior and security risks across the AI-powered workflows of Fortune 500 companies.
You'll bring deep technical versatility - reaching for classical ML, deep learning, or agentic based approaches based on what the problem demands, and the evaluation rigor to know when a model is truly ready for the real world. If you want to define what AI security engineering looks like, not just practice it, this role is for you.
What Youll Do:
Build, train, and ship detection models end-to-end, from raw data to production
Choose the right method for each problem - traditional ML, deep learning, fine-tuned LLMs, agents or heuristics - based on theoretical insights turned into practical results.
Partner with security researchers to turn security research outputs and domain expertise into detection capabilities
Own evaluation: design benchmarks, build labeled datasets, and define production standards
Monitor models in production across all paradigms - ML, deep learning, LLM-based, and agentic systems to track degradation and ensure reliability
Iterate fast, with a tight feedback loop between model performance and product outcomes

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 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