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We are looking for a highly motivated and experienced Data Analytics Team Lead to lead our Israel-based team within the Services organization. This role offers the opportunity to drive innovation and shape the future of customer-facing analytics solutions. You will oversee the development and delivery of custom data reports, ensuring that our clients receive maximum value from our location intelligence data.
RESPONSIBILITIES:
As a Team Lead, you will be responsible for managing a high-performing analytics team, developing scalable data products, and collaborating cross-functionally to deliver value to our clients. Your key responsibilities will include:
Team Leadership & Development
Lead and inspire a cohesive, high-performing team while fostering a positive, proactive culture.
Mentor and coach team members, supporting both professional development and the achievement of team goals.
Manage hiring efforts to support team growth in line with business needs.
Facilitate knowledge-sharing and collaboration across internal teams.
Project & Resource Management
Estimate project scope and effort based on deep familiarity with our data, tools, and internal processes.
Allocate work effectively based on team capacity, priorities, and constraints.
Handle escalations and interruptions while maintaining project focus and team productivity.
Define and track team KPIs, identifying areas for improvement and driving operational excellence.

Cross-functional Collaboration

Work closely with Solutions Engineering, Consulting, Customer Success, and Sales to define project scopes and manage client expectations.
Collaborate with Product and R&D teams to align on data methodologies, product roadmap, and technical best practices.
Support analytics teams across the organization in building and optimizing data pipelines.
Technical Innovation
Identify opportunities to improve processes and implement efficiencies in report development and delivery.
Drive technical initiatives to enhance the scalability, reliability, and maintainability of reporting pipelines.
Team & Tech Stack
Youll lead one of two Data Analytics teams (the other is US-based). The team works with large-scale data to construct custom metrics and support client-specific reporting needs.
The team includes data analysts, data pipeline engineers and software engineers.
Languages & Tools: Python, Spark, Airflow, Databricks, Dataproc, Hive, MongoDB, Tableau.

As a Team Lead, you will have the opportunity to significantly impact intelligence processes and contribute to counter-terrorism efforts by designing and implementing cutting-edge big data solutions on various platforms.
Responsibilities
Manage and lead a team of Big Data engineer.
Design and implement advanced infrastructure solutions using Hadoop Ecosystem.
Work closely with other departments within the organization to understand their needs and develop tailored solutions.
Analyze user requirements and recommend new tools and technologies in the field of Big Data.
Develop self-service solutions for managing and creating infrastructure under team's responsibility.
Manage large-scale projects while meeting deadlines and targets.

Join our Data Science research team, leveraging analytical capabilities into the field of cybersecurity.
Responsibilities
Develop and implement statistical models and algorithms in big data environment to analyze communication data and logs for endpoint devices, identifying network attacks and anomalies.
Extract insights and enrichment using advanced analytical tools.
Lead end-to-end data science projects, including requirements gathering, conducting proof of concept (POCs), demonstrating value, building pipelines in operational systems and monitoring project progress.
Maintenance, improvement and optimization of production models.
Collaborate with various stakeholders within the unit and identify challenges and improvements that can addressed using data science techniques.

We're looking for a Data Analyst Team Leader to join our office in Tel Aviv and play a key role in our success.>
Responsibilities:
As Data Analyst Team Leader, you will:
Split your time evenly between team leadership (50%) and hands-on analytical work (50%)
Personally analyze large datasets from our sensors to discover critical trends in hive state, health, and pollination efficiency
Lead and mentor a team of data analysts, fostering professional growth while staying deeply involved in technical execution
Directly build and optimize dashboards and reports that communicate key metrics across the organization
Write and review code for data pipelines, analytical models, and visualization tools
Develop and implement data quality processes while maintaining your technical edge through active coding
Balance strategic leadership with day-to-day technical contribution across multiple concurrent projects.

We are searching for an innovative and experienced Data Engineer that will join us and be part of our new data initiatives team in our data group.
As a Data Engineer, you will:
Be a part of a cross functional team of data, backend and DevOps engineers.
Be responsible for ingesting large volumes of new data, followed by deep understanding and inspection of the data in close collaboration with data scientists.
Lead the architecture, planning, design and development of mission-critical, diverse and large-scale data pipelines over both public and on-prem cloud solutions.

We are looking for a highly skilled and experienced BackEnd Team Lead to join our dynamic team in Tel Aviv. In this pivotal role, you will oversee the design, development, and optimization of our infrastructure, ensuring efficient flow and quality to support data-driven decision-making across the organization. You will lead a team of backend developers and data engineers, collaborate with cross-functional teams, and drive initiatives to enhance our data collection and data pipeline capabilities.
Key Responsibilities:
Lead and oversee a team of BackEnd and Data Engineers, mentor the team members, fostering skill development and professional growth
Establish and enforce data quality standards, implementing processes for data accuracy, reconciliation, and consistency.
Oversee the design and implementation of robust ETL processes to ensure accurate and timely data integration from various sources.
Collaborate across the business with various stakeholders, such as the CTO, Data Analysts and Product Managers to deliver impactful solutions
Continuously monitor and optimize system flows for performance, scalability, and cost-efficiency.

We are looking for a Senior Data Scientist.
As a Senior Data Scientist, you will be part of a multidisciplinary AI team, working on AI-driven solutions in audio and text fields. You will apply deep learning techniques, to develop scalable AI models that directly impact senior care. You will collaborate closely with R&D teams, leveraging real-world data to build high-performance AI solutions. This is an opportunity to tackle complex, real-world challenges, drive cutting-edge AI research, and develop innovative solutions tailored to the needs of caregivers and healthcare providersall within a dynamic, fast-paced environment.
Key Responsibilities:
Develop and optimize data pipelines and deep learning models with a focus on Natural Language Processing (NLP).
Take ownership and lead end-to-end delivery, from innovation, experimentation, and research to full development and deployment to production.
Lead research initiatives to solve complex data science challenges, applying deep learning techniques.
Continuously monitor and refine model performance, ensuring high accuracy, efficiency, and reliability.
Work closely with Product, Clinical team, and R&D teams to align AI innovations with company objectives.
Solve non-trivial, non-classical data science challenges using creative and outside-the-box thinking.
Work in a fast-paced startup environment, contributing to the development of cutting-edge AI-driven solutions.

We're seeking talented data engineers to join our rapidly growing team, which includes senior software and data engineers. Together, we drive our data platform from acquisition and processing to enrichment, delivering valuable business insights. Join us in designing and maintaining robust data pipelines, making an impact in our collaborative and innovative workplace.

Responsibilities
Design, implement, and optimize scalable data pipelines for efficient processing and analysis.
Build and maintain robust data acquisition systems to collect, process, and store data from diverse sources.
Collaborate with DevOps, Data Science, and Product teams to understand needs and deliver tailored data solutions.
Monitor data pipelines and production environments proactively to detect and resolve issues promptly.
Apply best practices for data security, integrity, and performance across all systems.

Were looking for brilliant data engineers to join our rapidly growing team.

You will join a team consisting of senior software and data engineers that drive our data platform from data acquisition, to processing and enrichment and all the way to business insights. You will join an early stage team and company and will have a major impact on the decisions and architecture of our various products.

Responsibilities
Design and build data acquisition pipelines that acquire, clean, and structure large datasets to form the basis of our data platform and IP
Design and build data pipelines integrating many different data sources and forms
Define architecture, evaluate tools and open source projects to use within our environment
Develop and maintain features in production to serve our customers
Collaborate with product managers, data scientists, data analysts and full-stack engineers to deliver our product to top tier retail customers
Take a leading part in the development of our enterprise-grade technology platform and ecosystem
Harmonize and clean large datasets from different sources

We are seeking an experienced and innovative Data Engineer to join our dynamic team at ! As a leading FinTech startup based in Tel Aviv, is dedicated to providing comprehensive financial & all around solutions for small businesses. The ideal candidate will possess a strong background in data engineering, data warehousing, and data modeling. This role demands a talented professional who can design, develop, and maintain our data infrastructure, empowering stakeholders across the company to make data-driven decisions. If you are a talented, humble, and ambitious individual ready to make a significant impact in a rapidly scaling company, we invite you to join us on our journey to revolutionize services for small businesses worldwide.
About the Opportunity:
As a Data Engineer at , you will play a pivotal role in establishing and enhancing data infrastructure, empowering stakeholders across the company to make informed, data-driven decisions.

What youll be doing:
Engage with potential customers via phone, email, and online communication tools to follow up on inquiries and leads.
Build and maintain relationships with prospects, understanding their needs and offering tailored solutions.
Develop and deliver sales pitches that highlight the benefits of services.
Guide customers through the sales process, from the initial conversation to closing the deal.
Assist in onboarding new customers, ensuring they have a smooth and positive experience with platform.
Maintain accurate records of interactions, sales progress, and follow-up tasks using our CRM system.
Continuously refine your product knowledge to better assist prospects and customers.

A fast growing start up, transforms infrastructure monitoring by leveraging optical fibers to monitor critical, large-scale systems like power grids and oil & gas pipelines across thousands of kilometers without the need for traditional sensors. Our Hyper-Scan Fiber-Sensing technology, combined with advanced Machine Learning, empowers utility operators to achieve environmental and renewable energy goals while maintaining operational excellence on their path to net-zero emissions. Founded in 2017, with offices in the U.S., Europe, and Israel (HQ), led by an expert team with a proven track record in building and scaling successful companies within the lasers and deep-tech sectors. We are seeking a Senior data Scientist to join our team and take a leading role in shaping the future of our data science. We need your CTO -grade capabilities to incubate and launch the data product offering, creating value to our customers via reports and recommendations. This role is ideal for someone who thrives in a fast-paced, hands-on environment, enjoys working across disciplines, and wants to see their work go from concept to impact in the real world. Today, this is a high-impact individual contributor role. However, it is intentionally structured to evolve into a leadership position. As our product, customer base, and data expand, youll be instrumental in building and leading a dedicated data science team, with full ownership of methodologies, tools, and people. The data Science team leader at Product will report to the VP product.

Required Director of Fraud Analytics
So, whats the role all about?
The company is seeking a Director of Fraud Analytics to lead its Fraud Data and Analytics research and development. In this position the Director of Fraud Analytics will have responsibility managing a team of highly skilled Fraud analysts and data scientists developing the company Fraud AI and analytics offering and tools, research, methodology and development practices.
How will you make an impact:
Manage several teams of analysts and data scientists that define how Fraud is detected in the product suite.
Define and develop the tools and methods required for Fraud AI and analytics capabilities in the product suite
Deliver and assist in defining product capabilities across theportfolio for developing and deploying advanced analytics and data science products
Evangelize Fraud Analytics capabilities and provide thought leadership through engagement with the market and the client community
Maintain strong relationship and team management in a highly matrixed environment with customers, sales, development, product and delivery groups.

Required Senior Data Scientist, Recommender Systems
Every role at our company is designed with a clear purposeto integrate collective efforts into our shared success, functioning as pieces of a collective brain. Machine learning and AI, and especially recommender systems are at the center of our strategy and are imperative to our continuous success.
What will you be responsible for?
Solving complex business problems using ML and data-driven techniques, using a wide range of both classic and relevant SOTA algorithms and technologies, especially Recommender Systems challenges with high volumes of data. You'll be our Recommender Systems expert.
Working against business stakeholders to identify, well-define, and prioritize business problems to be solved through DS\ML pipelines.
Developing data-driven recommendation systems that directly increase user engagement, revenue growth, and customer retention.
Defining success criteria for each goal, building and owning the monitoring flow and maintenance plan for each solution.
Collaborating closely with a cross-functional Data Science team consisting of ML engineers, product managers, and data engineers.
Continuously self-learning, growing professionally, and mentoring younger team members.
Heres what we need from you:
On a personal level:
Collaboration: You are a true team player who thrives in cross-functional teamwork, working seamlessly with other teams while leading efforts within the data science team in a collaborative manner.
Independence & Ownership: You take initiative, pick up tasks quickly, and are capable of driving projects independently from ideation through to implementation. You plan, execute, and deliver End-to-End results without requiring constant supervision.
Ambitious. You are eager to make an impact and lead by example. You want to grow, you thrive in a fast-moving, dynamic, growth environment, and can operate at the strategic level and the micro-detail to get things done.
Results-driven. You have a can-do approach, drive to exceed your goals
Business-oriented. You are interested in our business, products, and services and know how to translate business needs into ML solutions.
Organized. You can manage highly interdependent, multifaceted projects and keep various work streams on track - even those with many moving parts.
Story Teller. You have good communication skills and are confident in presenting your results and ideas clearly and concisely.

Required Data Engineering Tech Lead
Data is everythingits at the heart of every product decision, every customer insight, and every strategic move we make. The Data Group builds and maintains the core data assets that power our products, from our Company and Contact databases to our Connect and Recommendation systems. This role sits at the forefront of that mission, leading engineering innovation that directly shapes the experience of our growing user base and drives the evolution of our intelligent data services.
What will you be responsible for?
Leading the design and evolution of scalable, high-quality data workflowsfrom batch pipelines to real-time data products.
Setting and upholding engineering best practices across code quality, testing, CI/CD, observability, and documentation.
Mentoring and empowering data engineers while fostering a high-performance, collaborative team culture.
Identifying and executing on opportunities to create new data features and assets that enhance product capabilities.
Driving architectural decisions around data modeling, storage, and compute in cloud environments (e.g., Databricks, Snowflake).
Collaborating with cross-functional stakeholdersincluding Product, DevOps, and R&Dto ensure seamless delivery and platform excellence.
Championing a data-driven mindset throughout the organization, balancing business context with technical rigor.