דרושים » דאטה » Data Scientist Team Lead

Were looking for a Staff Data Scientist to join our dynamic and collaborative team in Tel Aviv.
In this role, you will shape strategic initiatives in the domain of AI and algorithm development, driving the creation of deep and innovative capabilities that push the boundaries of AI-driven solutions. By blending cutting-edge methods in Generative AI and Applied Machine Learning, youll play a pivotal part in defining our next generation of advanced, data-driven products and services.
Here are a few of the things you will do:
Collaborative Team Player: Foster an environment where colleagues can thrive. Seek opportunities to enhance team effectiveness, share expertise, and promote a culture of continuous learning.
Lead Applied Research & Development: Drive projects from focused, time-bound experimentation using scientific tools to delivering robust, production-ready solutions.
Strategic Impact: Partner with cross-functional stakeholders to identify, prioritize, and execute on high-impact AI and ML initiatives, ensuring alignment with business objectives.
Hands-On Innovation: Stay up-to-date with the latest technical and scientific advancements in AI, maintaining an experimental mindset to test, adopt, and refine emerging techniquesparticularly in Generative AI and LLMs.
Full Solution Ownership: Take accountability for project outcomesgathering requirements, developing data-driven solutions, and ensuring smooth deployment and operation through best-in-class MLOps practices.

We are seeking an experienced Data Scientist with a strong background in AI engineering to join our AI Platform team. This role focuses on developing and fine-tuning advanced machine learning models, including LLMs, to support various product teams across our company. As a member of the AI Platform team, you will collaborate with cross-functional teams to build scalable, efficient, and robust AI solutions that serve diverse business domains.
What am I going to do?
Take leading roles in foundational AI projects across our company: developing and fine-tuning LLMs, building reusable components for generative AI, supporting real-time predictions, and enabling streaming data utilization across online models.
Provide advanced Data Science and AI Engineering solutions end-to-end - from research and prototyping to robust production-grade implementations.
Own the design, training, and evaluation of models tailored for tasks like summarization, classification, semantic matching, personalization, and more.
Drive innovation by exploring new model architectures, training techniques, and fine-tuning strategies aligned with business needs.
Lead and mentor other team members, setting high standards for technical excellence and knowledge sharing.
Continuously identify new opportunities to evolve the platforms capabilities and streamline how AI is built and adopted across our company.

We are seeking a hands-on Tech Lead to be the first technical hire for our newly formed ML team. This is a unique ground-floor opportunity to build something from scratch and have direct influence on the technical direction of our ML capabilities. This role combines deep technical expertise with foundational leadership, requiring someone who can architect solutions, establish technical standards, and lay the groundwork for future team growth. As our founding ML tech lead, you'll have the opportunity to shape our technology choices, define our technical practices, and build the fundamental skill set that will guide the team as we scale.

What youll do: 
Shape the technical foundation: As our first ML hands on hire, choose and establish the team's core technology stack, frameworks, and development practices together with the ML leader.
Build from the ground up: Design and implement our initial ML infrastructure, data pipelines, and model deployment frameworks.
Define technical standards: Establish coding standards, best practices, and processes that will guide future team members.
Hands-on development: Lead by example through direct development and deployment of ML models and data science solutions.
Partner with stakeholders: Work closely with business teams to identify initial ML opportunities and build foundational proof-of-concept models.
Establish MLOps practices: Set up our model development, testing, deployment, and monitoring workflows from scratch.
Recruit and onboard: As the team grows, play a key role in technical interviews and help onboard new ML engineers and data scientists.
Create team culture: Help establish the team's technical culture, learning practices, and collaboration methods.
Technology evaluation: Research and select the tools, platforms, and technologies that will form our ML tech stack.
Document and share knowledge: Create foundational documentation and knowledge-sharing practices for the growing team.

Location: Tel Aviv, Israel.

Hybrid.

Full-time.

We are seeking an experienced Data Science Lead to join us and play a key role in shaping the future of data security. As a Data Science Lead, you will be part of our Classification team, which lies at the core of our missionidentifying sensitive data and helping customers detect the most critical risks in their cloud environments. Our multidisciplinary team of data scientists, analysts, and engineers collaborates to build the worlds most effective sensitive data detection system.
Responsibilities
Lead the design, development, and deployment of machine learning models, including NER and LLMs, to enhance our data classification and entity recognition capabilities.
Collaborate closely with Product and Engineering to align cutting-edge AI technologies with real-world customer needs and our roadmap.
Build and maintain a robust experimentation framework to accelerate model iteration, evaluation, and deployment.
Leverage our extensive datasets to define key quality metrics and drive continuous improvements in classification accuracy.
Adapt quickly to evolving customer needs while maintaining high standards of model performance and reliability.
Innovate by identifying new opportunities to improve accuracy, automate workflows, and introduce AI-driven features that provide value to our customers.

we are a pioneering startup transforming the world of retail through next-generation IoT. Our platform bridges the physical and digital realms by leveraging battery-less BLE tags that stream real-time data to a powerful cloud platform via in-store wireless networks. This continuous data flow enables retailers to unlock unprecedented insights, optimize operations, and elevate the customer experience like never before.

Were on a mission to make every item in the store "talk" and we're just getting started.

We are looking for a hands-on and strategic Team Leader to head our Data Science & Machine Learning team. This is a high-impact leadership role where youll guide a growing team of Data Scientists and ML Engineers tackling some of the most complex and unique challenges in retail analytics from recommendation engines and time series forecasting to signal processing, clustering, and beyond.

You'll be responsible for shaping the teams roadmap, championing innovation, and translating business challenges into scalable, production-grade ML solutions, powered by our company rich and continuous IoT data streams.

Responsibilities
Lead & Inspire: Manage and mentor a talented team of Data Scientists and ML Engineers, fostering a culture of collaboration, ownership, and technical excellence.
Drive ML Strategy: Define and own the teams roadmap, aligning it with company goals and product direction.
Deliver Impact: Guide the team through the full ML lifecycle from business understanding and data exploration to model development, validation, deployment, and monitoring.
Establish Best Practices: Implement and advocate for high standards in experimentation, model management, reproducibility, and delivery.
Cross-Functional Collaboration: Partner with Data Engineering, Product, and Business stakeholders to define priorities, understand requirements, and deliver actionable, measurable outcomes.
Research & Innovate: Stay on top of the latest advancements in ML and apply state-of-the-art techniques to drive product innovation and value.
Translate Complexity: Communicate sophisticated ML concepts clearly to a wide range of audiences from executives to engineers to customers.

Required Data Infra Tech Lead
A day in the life and how youll make an impact:
Were seeking an experienced and skilled Data Infra Tech Lead to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure. As a tech lead, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team.
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.

We seek a Director of Data to join us and lead our data group.
As our Director of Data, you will be a key member of our R&D leadership team. You will be responsible for developing and executing a data strategy that aligns with our business goals, overseeing data management, analytics, and validation, and ensuring data integrity at every stage of product development and production.
A day in the life and how youll make an impact:
Define and execute a strategic data roadmap aligned with business objectives, fostering a data-driven culture and leading a high-performing team of data engineers, scientists, and analysts.
Establish robust data validation frameworks, ensuring product integrity and accuracy through all stages, from data acquisition to end-user delivery.
Build and optimize scalable data infrastructure and pipelines to support our data needs and ensure data security, compliance, and accessibility.
Collaborate with product and engineering teams to create and launch data-driven products, ensuring they are built on reliable data and designed to meet customer needs.
Guide the team in generating actionable insights to drive business decisions and product innovation in areas such as personalization, marketing, and customer success.
Implement data governance policies and maintain compliance with industry regulations and best practices.

Were seeking a visionary and technically hands-on AI Lead to join us and take charge of driving innovation across our core AI systems. As the AI Lead, you'll guide the architecture and development of advanced machine learning models that power our video and creative analysis platform. You will collaborate cross-functionally with product managers, engineering, and business development teams to deliver cutting-edge features that push the boundaries of whats possible in creative performance analysis.
This is a high-impact role for someone who thrives at the intersection of machine learning, product strategy, and creativity.
Key Responsibilities:
Lead the development, deployment, and optimization of machine learning models for video, image, and creative performance analysis.
Architect scalable AI/ML pipelines and infrastructure that support real-time and batch processing of multimedia data.
Guide research and experimentation initiativesidentify new technologies, modeling techniques, and opportunities for innovation.
Mentor and grow a team of machine learning engineers and data scientists as we scale.
Champion AI ethics, fairness, and explainability in our model development and deployment.
Stay ahead of industry trends in generative AI, computer vision, NLP, and Martech innovation, translating insights into competitive advantages.

We are seeking a dynamic Data Scientist with a strong data science experience and flair for AI Pre Sales to join our team. This hybrid role combines technical expertise in AI and data science with the ability to identify, pitch, and present AI/ML solutions for our clients. The ideal candidate is an accomplished data scientist who can design and execute AI/ML models to meet complex client needs while able to demonstrate and clearly explain business benefits and practical implementations to customers.
Key Responsibilities:
Data Science and Technical Consulting (Primary Focus)
Data Analysis & Insights: Perform advanced data analysis on structured and unstructured datasets to generate actionable business insights.
Model Development & Validation: Design, develop, and validate machine learning models and algorithms tailored to client use cases.
Proof-of-Concept (PoC) Development: Lead the creation of AI/ML PoCs to demonstrate the feasibility and impact of proposed solutions.
Advanced Analytics Advisory: Provide expert guidance on applying predictive analytics, natural language processing (NLP), computer vision, and other AI techniques to solve complex business challenges.
Solution Integration: Assist clients in seamlessly integrating AI/ML solutions into their workflows, ensuring measurable impact and ROI.
Model Optimization: Continuously fine-tune and optimize deployed models to ensure scalability, performance, and accuracy over time.
Technical Innovation: Stay ahead of AI/ML trends, tools, and frameworks, and proactively suggest innovative approaches to enhance client outcomes.
Business Translation of AI/ML: Serve as a bridge between technical teams and business stakeholders, translating AI/ML solutions into clear, actionable business terms.
Sales Support (Secondary Focus)
Lead client discussions to uncover pain points and articulate AI/ML-driven solutions with measurable business value.
Create and deliver compelling presentations, proposals, and technical demonstrations to prospective clients.
Collaborate with internal teams to align client requirements with technical capabilities.
Drive end-to-end pre sales cycles, including requirement understanding, product / solution customization, business oriented demo flows and stories preparation, presentations to technical and business stakeholders.

abra R&D is seeking an experienced Algorithm and Signal Processing Engineer We are seeking a Data Scientist and LLM Engineer with a strong background in Python and hands-on experience in developing and implementing advanced ML and NLP solutions.
* The ideal candidate will bring in-depth technical skills and industry experience to design, develop, and optimize AI/ML models, particularly Large Language Models (LLMs), to address complex challenges in our target sectors ementation in simulation environments.
* Support software, hardware, and firmware teams in implementing algorithms on embedded systems. Responsibilities
* Design, develop, and deploy cutting-edge causal inference and AI models to solve complex problems in user behavior, root cause analysis, gaming and mobile applications domains.
* Develop Python-based solutions for data processing, model training, and deployment in production environments.
* Collaborate with cross-functional teams to integrate AI/ML solutions into enterprise-grade applications.
* Conduct research on the latest advancements in AI, ML, and LLMs to maintain competitive edge.
* Optimize and fine-tune LLMs for performance, scalability, and cost efficiency.
* Analyze and process large datasets to extract actionable insights that drive business value.
* Develop and maintain robust, scalable, and efficient codebases and documentation. Why Join Us
* Be part of a forward-thinking start-up company pushing the boundaries of AI and ML.
* Collaborate with a talented team dedicated to innovation and excellence.
* Opportunities for professional growth and development in cutting-edge technologies.