דרושים » מדעים מדוייקים » Data Analytics Team Lead

Required Director R&D, Shopper Intelligence
Tel Aviv, Israel
We empower the worlds leading brands to win online. Our digital intelligence solutions offer unmatched visibility into the online world, enabling smarter, faster growth. A key part of this mission is the Shopper Intelligence solutionhelping eCommerce leaders unlock insights into digital shelf dynamics, pricing strategies, and shopper behavior across marketplaces and retailers.
About the Role
As the R&D Director of Shopper Intelligence, youll lead a fast-scaling, multidisciplinary product group with startup energy and enterprise impact. Youll own the technical and organizational direction of the team, guiding multiple squads of engineers and data scientists building one of our most strategic offerings.
You will oversee the development of full-stack platforms and advanced ML models, working closely with Product, Design, Business, and Go-To-Market (GTM) teams to shape and execute a bold vision for Shopper Intelligence.
What Youll Do
Leadership & Strategy
Define and drive the technical vision, structure, and roadmap for the Shopper Intelligence R&D group.
Lead multiple cross-functional teams composed of full-stack engineers, data engineers, and data scientists.
Serve as a key stakeholder in product, engineering, and business planningowning both delivery and innovation.
Product & Engineering Delivery
Collaborate deeply with Product, Business, and GTM stakeholders to co-own product vision and long-term strategy.
Oversee the design and development of web-based applications using React and TypeScript, with strong focus on user experience and performance.
Lead backend development with Node.js, NestJS, and microservice architecture supporting scalable APIs and data flows.
Guide implementation of robust Python-based data pipelines and microservices using orchestration tools like Airflow and data processing frameworks like Spark.
Ensure world-class engineering practices around CI/CD, monitoring, testing, and DevOps using Kubernetes, Docker, GitHub Actions, and Terraform on AWS.
Data & AI Innovation
Manage teams developing advanced machine learning models across domains such as signal processing, inference, and LLM-based architectures (e.g., transformers, RAG).
Oversee data science workflows from exploration and analysis to model training, validation, deployment, and monitoring.
Leverage and extend high-scale analytical environments built on SQL, Firebolt, Snowflake, and real-time data engines.
Support the development of AI-powered features that deliver intuitive, decision-ready insights to our customers.
Team Management & Culture
Build, coach, and scale teams of highly capable tech leads, senior engineers, and data scientists.
Establish a strong engineering culture focused on innovation, quality, ownership, and continuous learning.
Partner across functions to ensure alignment between technical capabilities and product/market strategy.

We are looking for a Data Scientist to join our team.

The ideal candidate is a highly motivated and self-driven individual with strong analytical and problem-solving skills. The Data Scientist will be responsible for analyzing data and developing models to help inform decisions and strategies for new products and business initiatives.

Responsibilities:
Work closely with stakeholders to understand business requirements and develop predictive models to detect fraud.
Develop and implement statistical models, machine learning and deep learning algorithms to solve complex problems in a production environment.
Perform exploratory data analysis and data visualization to gain insights and communicate findings.
Collaborate with cross-functional teams, including data engineers and software developers, to design and implement end-to-end solutions that can be deployed in production.
Implement advanced analytics tools and technologies to enhance reporting capabilities.

A fast-growing, well-funded startup in the data domain is looking for a Software Development Team Lead to lead a team of engineers, reporting to the Director of Engineering. As a Software Development Team Lead, youll lead a team of back-end, Full-Stack, and data engineers, working closely with Product Managers and other stakeholders to plan, kickoff, and execute new product and feature development projects. Our ideal candidate is someone who values excellence, is hungry for success, and thrives when working with the best. Job Summary: As an Software Development Team Lead, you'll be responsible for overseeing the design, development, and implementation of robust software solutions, including strategic Full-Stack applications and our Big Data architecture. You'll lead a team of engineers and collaborate with cross-functional teams to drive initiatives that support business objectives. Your expertise in Big Data technologies, including Elastic, Kafka, and JAVA, will be critical in ensuring the scalability and performance of our systems. What youll do:
Lead and mentor a team of engineers in the design and development of software solutions, including Big Data solutions and Full-Stack applications. Architect and implement data processing pipelines Real-Time data streaming. Optimize and manage search capabilities. Develop strategic Full-Stack applications to meet business needs. Collaborate with product managers, data analysts, and other stakeholders to gather requirements and translate them into technical specifications. Oversee code reviews, ensure best practices in coding and data handling, and maintain high-quality standards in software development. Stay up-to-date with emerging trends and technologies in software engineering and Big Data, and recommend improvements to our architecture and processes. Troubleshoot and resolve issues in a timely manner to minimize downtime and ensure system reliability. Contribute to strategic planning and decision-making regarding architecture and tools. Collect and analyze your teams KPIs. Participate in customer calls, understand their use cases, and solve their problems. Collaborate with software teams across different locations.

Were looking for a Data Science Team Lead to join our winning team. This is an opportunity to take a leadership role in building innovative AI products, manage a growing team of algorithm researchers, and have a major impact on the methods, infrastructure, and product capabilities.

Youll lead projects from early research to full production deployment, guiding the development of models, scalable pipelines, and services that power critical features in the platform.

Responsibilities:
Lead, mentor, and grow a team of Data Scientists providing both technical leadership and professional development.
Own the full lifecycle of AI projects: from research and prototyping through production-grade deployment and monitoring.
Design and oversee the development of scalable ML pipelines, model serving infrastructure, and robust data workflows in collaboration with software engineering and product teams.
Drive initiatives to deliver LLMs and other AI models as production-grade services within the organization.
Partner cross-functionally with product managers, clinical experts, and engineers to translate business needs into AI-driven features.
Guide research in NLP, NLU, and Deep Learning domains, staying at the forefront of industry developments and incorporating new methods where applicable.
Maintain a high standard of technical execution within the team, fostering a culture of ownership, quality, and innovation.
Communicate technical findings, project status, and strategic recommendations clearly to technical and non-technical stakeholders.

We are looking for an experienced MLE Team Lead to lead our Machine Learning Engineering team as part of the Infrastructure group. AI/ML are core components of Navina unique technology, and a significant part of our technical edge. This is a unique opportunity to take a leadership role in building the infrastructure that powers the models driving Navinas products.

Youll lead a team of ML engineers in designing scalable production systems, collaborating with cross-functional stakeholders, and mentoring team members as we scale our ML platform and capabilities.

Responsibilities:
Provide technical leadership and team management for the Machine Learning Engineering team, including mentoring team members, and encourage ongoing personal and professional growth.
Define and drive the roadmap for ML infrastructure in collaboration with other technical leaders and data science team, ensuring alignment with broader engineering and organizational goals.
Remain actively involved in the architecture and development of systems that enable scalable and reliable model training, deployment, serving, and monitoring.
Own the engineering aspects of the ML lifecycle, including the design of efficient production-grade deployment mechanisms, robust observability and maintenance practices.
Work closely with data science, product, medical, and dev teams to understand evolving needs and deliver infrastructure and tooling that improve development velocity and model reliability.
Continuously evaluate emerging tools and best practices in ML infrastructure and thoughtfully integrate relevant technologies to strengthen the teams capabilities.

Required Client Solutions Manager, Gaming, Tel Aviv
Our Gaming teams mission is to build the worlds most dynamic community to discover, play, watch, and share gamespowered by AI, creativity, and connection. The Tel Aviv office plays a pivotal role, representing an advanced and fast-evolving gaming ecosystem home to many of the industrys global market leaders.
The Client Solutions Manager partners with our most strategic clients to make sure they are successful with us. This is an outstanding opportunity to be at the center of the booming Israeli Gaming industry. The Client Solutions Manager is a strategic solution-driver who puts our partners at the core of everything they do. This role is responsible for building strategic partnerships, driving growth, creating scaled ROI-positive marketing strategies, and driving satisfaction in innovative ways. This is done through the combination of good marketing and media understanding and leveraging data-driven insights for our customers.
Success in this position requires good analytical skills, experience working with large data sets to identify performance patterns and translate them into solutions. The role also requires working with internal cross-functional partners, and the experience to thrive in a dynamic, team-focused environment delivering against tight deadlines and aggressive targets. The position also entails creating partnerships through nurturing relationships and becoming the sought out expert for all things growth marketing.
This role will be located in our Tel-Aviv Rothschild office.
Client Solutions Manager, Gaming, Tel Aviv Responsibilities
Identify, create, and implement marketing solutions grounded on achieving measurable business results for our partners
Serve as external product consultant educating clients and agencies on product solutions and driving product adoption
Use data and insights to guide strategy and implementation of our solutions
Work and collaborate with broad group of internal cross-functional teams
Guide media and creative strategy, planning, and implementation of campaigns to deliver against KPIs
Identify optimization opportunities for improving performance.

We are looking for a Data Engineering Lead to join our Platform Group at our company. In this role, you will drive the development of scalable data pipelines and infrastructures that are crucial to our platforms success. You will collaborate across departments, and innovate to ensure our data ecosystem is robust, secure, and optimized for growth.
As a Data Engineering Lead at our company you will...
Architect and develop data pipelines Lead the design and implementation of data pipelines that support our company's platform, ensuring high data quality, security, and governance. Introduce new tools and technologies to enhance data workflows and integration
Develop a strategic roadmap that outlines key engineering solutions to support our platforms scalability and performance, aligned with our company's overall vision and objectives
Collaborate across teams Work closely with internal teams including DevOps, BI, Product, and development groups to ensure seamless data integration and drive data-driven decision-making across the organization
Establish data guidelines and documentation Define best practices for data generation, consumption, and management within the platform. Create thorough documentation for all data processes to facilitate clear communication and future maintenance.

We're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of Machine Learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, we stand at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply Embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are looking for an experienced Algo Deep Learning team leader with proven capabilities to lead the development of new products from concept to production. In this role, you will be leading a highly talented team, while creating diverse algorithms based on computer vision and deep learning.
A day in the life and how youll make an impact:
* Lead a team of algorithm/ DL +CV engineers developing novel and efficient vision and deep learning algorithms from concept to production
* Combine the proper algorithm method to the problem - computer vision & deep learning respectively.
* Evaluate and benchmark different algorithms on unique proprietary datasets.
* Collaborate with team members to define future technology and features.
* Stay abreast of the latest advancements in algorithmic research and implement best practices in algorithm development.

Were looking for a Director of Engineering to join our growing R&D leadership team, reporting to the VP of Engineering. In this role, you will take end-to-end ownership of strategic product lines, drive innovation at scale, and lead multiple engineering teams working on our core domain. You'll work closely with cross-functional stakeholders to ensure we build cutting-edge, data-driven, customer-facing applications that create meaningful impact for Fortune 100 companies. Our ideal candidate is business-oriented, highly technical, and passionate about building high-performing teams and scalable systems that solve real-world problems.
What youll do:
Lead and grow multiple engineering teams across regions, focusing on our core domain and strategic product lines
Solve complex software problems with a data-driven and customer-centric mindset
Collaborate closely with Product Managers to align priorities and drive business outcomes
Build for scale, ensuring our systems and teams can support growing customer demand and evolving use cases
Foster a high-performing, motivated, and collaborative engineering culture
Define and track KPIs that reflect team health, quality, and delivery
Engage directly with customers to deeply understand their challenges and align solutions accordingly
Partner with distributed teams across Israel, Portugal, Ukraine, Poland, and India to deliver consistent value.

As a Software Engineer in the team, you will contribute to the design, development, and operation of our comprehensive data fabric an enterprise-grade system that enables data-driven decision-making and high-impact product features across our company. You'll work closely with a cross-functional team of engineers, product managers, and data experts to build scalable data infrastructure and intelligent data management capabilities that power internal and external services. You will:
Drive the development of sophisticated and robust logic and backend infrastructure that supports large-scale data and compute workflows.
Collaborate across teams to design solutions that meet performance, reliability, and security requirements.
Contribute to the automation and optimization of engineering processes, improving deployment velocity and system health.
Participate in the full software development lifecycle, from ideation and design to deployment and monitoring.
Help shape engineering standards, technical architecture, and operational best practices within the team.