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we are looking for a Senior Data Analyst to join our growing Analytics & Growth team and play a key role in tracking, analyzing, and optimizing the companys overall performance across customers.
The role focuses on defining event tracking, attributes, and properties mapping, analyzing conversion funnels, and identifying trends or issues using web analytics tools. You will work closely with R&D, Professional Services, Product managers, and the Business Intelligence team to ensure data integrity, validate tracking implementations, support new feature launches, and enable data-driven decision-making across the organization.
The ideal candidate is highly independent, curious, and proactive, with a strong drive to uncover root causes and continuously learn new tools and methods to solve complex analytical challenges
Define, implement, and maintain event tracking, attributes, and properties across web and product platforms
Gather and analyze data from multiple sources, including web analytics, internal systems, session recordings, and online browsing activities
Conduct in-depth analyses of customers conversion funnels and trends to identify optimization opportunities, as well as raise alerts and potential issues
Monitor KPIs related to conversion, engagement, and overall company performance
Guide and support our e-commerce funnel optimization with data backed insights.
Collaborate with R&D, product managers, and cross-functional teams to define tracking needs, raise alerts, and support new feature launches
Ensure web analytics data is accurately reflected in BI dashboards and reports, enabling reliable decision-making and insights
Work closely with the BI team on reporting requests, dashboards design, QA, and acceptance before release
Provide actionable, data-backed insights to support company-wide strategy and analytical projects
Take initiative to learn independently, adopt new analytical approaches, and work autonomously on complex problems.

Were looking for a Data Engineer to join our core Data group at headquarters. In this role, youll design and build central data platform infrastructure, driving the companys data strategy forward.
Youll collaborate closely with data professionals and R&D teams, taking ownership of key systems and having a direct impact on the success of our data ecosystem.
What Youll Do:
Be a member of the team responsible for the design and creation of the organizations data platform and data pipelines.
Lead GenAI developments in data related areas
In charge of development and maintenance of data infrastructure hosting data processes consolidating varied data types from multiple origins
Development of cloud infrastructure for data engineering and BI use
Build core MLOps infrastructure and processes for ML and AI models

We are looking for an experienced, proactive, and technically skilled Senior BI Engineer to take ownership of data products and business knowledge across our multi-brand ecosystem. You will be instrumental in designing the data architecture that drives global innovation and growth across the entire company.
What You Will Own and Deliver:
As a Senior BI Engineer, you will operate as a strategic partner, deeply leveraging our value of being obsessed with Data.
Domain Data Ownership: Become the go-to expert for high-impact domains like B2C Marketing and Supply, deeply understanding their metrics, business logic, and data needs to build comprehensive, accurate, and consolidated data models across all Travelier brands.
Strategic Architecture & Modeling: Design DWH to be AI-first, accessible by agents. Design, develop, and maintain advanced, scalable data models and ETL pipelines within our Google Cloud Platform (GCP) environment, focusing on performance, reliability, and cost optimization for petabyte-scale data. Modern Data Stack Implementation: Drive the adoption and best practices of our modern data stack, specifically leveraging DBT for data transformation, testing, and documentation, and Airflow for robust pipeline orchestration.
Executive-Level Product Development: Partner directly with executive management and business leaders across different global brands to translate complex, high-impact business questions into insightful, interactive BI products (semantic layers, self-service data models).
Technical Leadership & Mentorship: Act as a technical leader, mentoring junior team members on data modeling, SQL optimization, and data governance.
Data Governance & Quality: Enforce data governance standards, ensuring data quality, accuracy, and reliability across all owned domains in a consolidated environment.

Were looking for a highly skilled and motivated Data Engineer to join the Resolve (formerly DevOcean) team .
In this role, youll be responsible for designing, building, and optimizing the data infrastructure that powers our SaaS platform.
Youll play a key role in shaping a cost-efficient and scalable data architecture while building robust data pipelines that serve analytics, search, and reporting needs across the organization.
Youll work closely with our backend, product, and analytics teams to ensure our data layer remains fast, reliable, and future-proof. This is an opportunity to influence the evolution of our data strategy and help scale a cybersecurity platform that processes millions of findings across complex customer environments
Roles and Responsibilities:
Design, implement, and maintain data pipelines to support ingestion, transformation, and analytics workloads.
Collaborate with engineers to optimize MongoDB data models and identify opportunities for offloading workloads to analytical stores (ClickHouse, DuckDB, etc.).
Build scalable ETL/ELT workflows to consolidate and enrich data from multiple sources.
Develop data services and APIs that enable efficient querying and aggregation across large multi-tenant datasets.
Partner with backend and product teams to define data retention, indexing, and partitioning strategies to reduce cost and improve performance.
Ensure data quality, consistency, and observability through validation, monitoring, and automated testing.
Contribute to architectural discussions and help define the long-term data platform vision.

Were looking for a Senior Data Analyst who combines strong technical skills with a strategic mindset and curiosity for how data drives user experience and growth in social mobile apps. Youll partner closely with product, engineering, and marketing teams to turn data into clear insights and measurable business impact.
If youre passionate about uncovering insights, leveraging data and AI for smarter, faster results, and driving decisions at scale; wed love to hear from you!
Responsibilities
Identify opportunities for improvement through data analysis aligned with company strategy.

Partner cross-functionally to translate data findings into actionable product and business decisions.

Design, run, and analyze A/B tests to evaluate product changes and user experience optimizations.

Build, automate, and maintain dashboards and reports to track platform health, user behavior, and key trends.

Communicate findings clearly to stakeholders, influencing both tactical and strategic decisions.

Leverage AI and automation tools to accelerate analytical workflows and uncover deeper insights.

As a Senior Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale.
Responsibilities
Work with management and partner teams to design and implement solutions in recommender systems for given objectives.
Lead technical efforts to improve the performance of deep learning models and propose initiatives to impact company goals directly.
Autonomously find solutions to complex problems in social network recommendations and understand the data generation process and challenges with the data.
Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.

we are looking for a skilled Data Center Engineer to join our Lab team. The ideal candidate will be responsible for maintaining, monitoring, and optimizing our data center environments to ensure high availability, resiliency, and performance. This role involves hands-on technical work, troubleshooting hardware and network issues, and collaborating with cross-functional teams to support mission-critical systems. You will report to the Lab Manager.
Key Responsibilities
Data Center Operations
Perform installation, configuration, and maintenance of servers, network equipment, storage systems, and cabling.
Monitor facility systems, including power, cooling, fire suppression, and physical security.
Conduct routine inspections to ensure environmental and operational stability.
Manage data center capacity planning (space, power, cooling).
Hardware & Infrastructure Support
Troubleshoot and resolve hardware failures for servers, routers, switches, and other equipment.
Coordinate with vendors for RMA processes and hardware lifecycle management.
Perform firmware upgrades and hardware refresh activities.
Network & Systems Support
Support deployment and maintenance of network infrastructure (LAN/WAN, routing, switching).
Assist with installation and configuration of OS and virtualization technologies (Linux, VMware, Hyper-V, etc.).
Work with IT/security teams to ensure compliance and secure configuration of data center assets.
Monitoring & Incident Response
Monitor systems and respond to alerts to ensure uptime and SLA adherence.
Maintain accurate documentation of incidents, configurations, and procedures.
Process & Documentation
Follow and improve standard operating procedures.
Maintain asset inventory, rack diagrams, and documentation.
Support audits and compliance requirements.

we are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions. Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems in recommendations and classification. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe. As a Senior data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale.
Responsibilities:

* Work with management and partner teams to design and implement solutions in recommender systems for given objectives.
* Lead technical efforts to improve the performance of deep learning models and propose initiatives to impact company goals directly.
* Autonomously find solutions to complex problems in social network recommendations and understand the data generation process and challenges with the data.
* Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.
Advantages:

* Advanced knowledge in generative models: Auto-encoding, adversarial models, compression.
* Worked on deep learning graph model solutions with 10s of TB of data.
* Publication in peer-reviewed conferences or journals on reinforcement learning, deep learning, and Machine Learning.
* Strong passion for Machine Learning and investing independent time towards learning, researching, and experimenting with new innovations in the field.
* Experience working with technologies like SageMaker, Athena/Trino, Spark, Milvus, and OpenSearch.

Were looking for an experienced Data Engineer to join our DataWarehouse team in TLV.
In this role, you will play a pivotal role in the Data Platform organization, leading the design, development, and maintenance of our data warehouse. In your day-to-day, youll work on data models and Backend BI solutions that empower stakeholders across the company and contribute to informed decision-making processes all while leveraging your extensive experience in business intelligence.
This is an excellent opportunity to be part of establishing our companys state-of-the-art data stack, implementing cutting-edge technologies in a cloud environment.
In this role youll
Lead the design and development of scalable and efficient data warehouse and BI solutions that align with organizational goals and requirements
Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs
Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into the semantic layer
Develop processes to enforce schema evaluation, cover anomaly detection, and monitor data completeness and freshness
Identify and address performance bottlenecks within our data warehouse, optimize queries and processes, and enhance data retrieval efficiency
Implement best practices for data warehouse and database performance tuning
Conduct thorough testing of data applications and implement robust validation processes
Collaborate with Data Infra Engineers, Developers, ML Platform Engineers, Data Scientists, Analysts, and Product Managers.

Were looking for an experienced and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech Lead. As the Groups Tech Lead, youll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of our companys data ecosystem.
The groups mission is to build a state-of-the-art Data Platform that drives our company toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.
In this role youll :
Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platforms three teams
Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights
Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance
Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights
Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions
Collaborate closely with other Staff Engineers across our company to align on cross-organizational initiatives and technical strategies
Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions
Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization.

We are looking for an experienced and visionary Data Platform Engineer to help design, build and scale our BI platform from the ground up.
In this role, you will be responsible for building the foundations of our data analytics platform - enabling scalable data pipelines and robust data modeling to support real-time and batch analytics, ML models and business 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 architecting from scratch, 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.
Lead the design and architecture of the data platform - from integration 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, dbt, Databricks, Power BI, and streaming platforms.
Collaborate cross-functionally 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 seeking a Senior Backend & Data Engineer to join its SaaS Data Platform team.
This role offers a unique opportunity to design and build large-scale, high-performance data platforms and backend services that power our cloud-based products.
You will own features end to end-from architecture and design through development and production deployment-while working closely with Data Science, Machine Learning, DevOps, and Product teams.
Key Responsibilities:
Design, develop, and maintain scalable, secure backend services and data platforms on AWS
Build and operate batch and streaming ETL/ELT pipelines using Spark, Glue, Athena, Iceberg, Lambda, and EKS
Develop backend components and data processing workflows in a cloud-native environment
Optimize performance, reliability, and observability of data pipelines and backend services
Collaborate with ML, backend, DevOps, and product teams to deliver data-driven solutions
Lead best practices in code quality, architecture, and technical excellence
Ensure security, compliance, and auditability using AWS best practices (IAM, encryption, auditing).

We are looking for a Senior Data Scientist to join the data science group. Youll have the opportunity to make a significant impact by creating products that are used by millions of users around the world.
Our Data Science group is responsible for developing and implementing data-driven models, conducting research to evaluate new data science methodologies, and analyzing large datasets to extract actionable insights.
The individual will collaborate with cross-functional teams to ensure actual impact on our users and business outcomes.
Responsibilities:
Machine Learning: Design, Research, analyze, develop, and implement predictive models, from inception to production, in addition to MLOps infra for various of machine learning techniques to address complex business problems.
Code review to peers, maintain code quality, unit testing, E2E testing, ML models monitoring, maintainability and scalability
Collaboration: Work closely with cross-functional teams including Devops, Back End, and Mobile teams to define project goals and deliver data-science projects into production.
Stay updated with the latest research and advancements in AI.
Reporting: Create clear, concise, and actionable reports to communicate insights to stakeholders.

In this role, youll play a pivotal part in answering the why behind user behavior, helping us understand how sales professionals discover, adopt, and extract long-term value from platform.

What Youll Actually Do:

Act as an embedded data partner for a Product squad (e.g. Growth, Core Platform, or Data Enrichment), influencing product decisions by quantifying opportunities and forecasting impact
Perform deep-dive analyses across the full user journey, from first interaction and activation to retention and power usage
Design, execute, and analyze complex A/B tests and experiments, providing clear recommendations on whether to iterate, scale, or sunset features
Partner with Product Managers to define success metrics, North Star KPIs, and measurement frameworks for new and existing product initiatives
Translate complex datasets (SQL / Python) into clear, compelling insights and narratives for stakeholders, including senior leadership
Build and maintain self-service dashboards (Tableau, Looker, or similar) that empower Product teams to answer day-to-day questions independently
Continuously improve data accessibility, quality, and trust across Product Analytics

In this role, youll own the engineering backbone that enables our data engineers & data scientists to experiment, innovate, and deploy production-ready models, ensuring our systems are robust, scalable, and future-proof.

What You'll Actually Do:

Lead and mentor a team of Data Engineers, fostering a culture of technical excellence, accountability, and collaboration.
Define and drive the teams technical roadmap, standards, and best practices for data modeling, performance, and reliability.
Design, build, and evolve scalable embedding pipelines and recommendation infrastructure, from algorithm tuning and training workflows to production deployment.
Manage and optimize vector db, ensuring efficient indexing strategies, search performance, and low-latency retrieval.
Lead the development of retrieval services leveraging Approximate Nearest Neighbor (ANN/KNN) techniques such as HNSW, IVF, and Product Quantization (PQ).
Ensure reliability, observability, and scalability across all real-time data systems powering our recommendation engine.
Collaborate with Data Science, Product, and Analytics to operationalize models, validate KPIs, and translate technical insights into actionable product improvements.