לוח משרות דרושים Data Scientist בשרון

We are seeking an experienced and analytical Intelligence Methodologist to join our new Gen AI team .
You will collaborate with analysts, product managers, data scientists and developers to design and optimize investigative workflows, ensuring our solutions address real-world intelligence challenges effectively.
This is a unique opportunity to combine your expertise in intelligence methods with cutting-edge conversational Gen AI technology.
you will:
Fostering cross-functional communication and bridging collaboration between Product Management, Data Science, and Development teams to design knowledge structures, training logic, and investigative methodologies that drive LLM-based conversational AI.
Develop and curate high-quality domain-specific datasets for training and evaluation.
Communicate findings, progress to stakeholders, and provide recommendations for further enhancements.
Provide expert knowledge and insights to ensure the LLM agent understands and processes domain-specific language accurately.
Design, document, and refine methodologies for conducting intelligence investigations.
Train intelligence analysts on the use of methodologies and tools.
Create documentation and training materials to support effective adoption of workflows.
Collaborate with internal teams and external partners to understand operational requirements.

In one sentence
Join our companys GenAI & Data unit as a Lead Data Scientist and shape the future of AI innovation.
Drive the development and deployment of advanced machine learning models, lead a team of top-tier Data & AI experts, and turn bold ideas into scalable, high-impact solutions. Youll champion best practices, collaborate with R&D, and transform business objectives into cutting-edge, data-driven strategies - operating with startup agility inside a global enterprise.
What will your job look like?
As a Data Scientist Lead, your responsibilities include:
Leading and mentoring a team of Data and AI engineers, fostering a culture of innovation, collaboration, and continuous learning.
Full responsibility for developing and implementing advanced machine learning models, and translating business objectives into actionable data-driven solutions, while also mentoring junior team members and staying current with industry trends
Working with R&D groups for integration
Maintaining existing AI/ML engines.
Promoting best practices in AI development.

Were looking for a Data Scientist to turn complex data into actionable insights that drive product, operations, and business decisions.
You will own the full analytics and modeling lifecyclefrom problem framing and data wrangling to experimentation, deployment, optimization and communicating your output to the customer.
Responsibilities
Partner with product, engineering, and business teams to define problems and success metrics
Explore, clean, and transform large, messy datasets from multiple sources
Build and validate statistical and machine learning models (e.g., classification, regression, time series, NLP, recommendation, anomaly detection)
Translate findings into clear narratives, dashboards, and recommendations that influence decisions
Productize models and monitor performance
Establish data quality checks and model governance (bias and drift monitoring)
Document methods, assumptions, and results; present to technical and non-technical audiences.

Are you a passionate Applied Scientist ready to make a global impact? Join our elite AI and data science team.
If you are a talented Applied Scientist with strong technical skills, a passion for turning data and research into real-world impact, and the ambition to design, experiment, and ship innovative ML and AI solutions, we would love to talk to you!
In our team, you will:
Develop ML models to detect and disrupt cyberattacks.
Collaborate with security experts to incorporate domain knowledge into ML solutions.
Work with truly large-scale data to create and refine high-quality training datasets.
Deploy ML models into production, monitor their performance, and continuously improve them.
Stay up to date with the latest advancements in ML/AI and apply them to complex cybersecurity challenges.

We are seeking an experienced and passionate Research Manager to lead our Customer Success applied research team. In this pivotal role, you will lead a dedicated team of researchers focused on understanding our customers needs, experiences, and interactions with our products, and identify proactive paths to enhance customer experience.

As a Research Manager in our Customer Success you will

Manage and mentor a team of researchers and analysts, providing guidance on research methods, project execution, and professional development.

Foster a collaborative and innovative team environment that encourages creativity and knowledge sharing.

Strong leadership and team management skills, with a track record of developing high-performing teams.

Tap into an existing experimental research framework and facilitate its execution at scale.

Develop and implement a comprehensive research strategy that aligns with the goals of the Customer Success group and the broader organization.

Oversee the design, execution, and analysis of qualitative and quantitative research projects to gather insights about customer behavior, preferences, and pain points.

Translate complex research findings into actionable insights and recommendations for Customer Success, Product, and additional groups within us.

Identify opportunities for improving customer engagement and loyalty based on research findings.

Collaborate with stakeholders across Customer Success, Product Management, Marketing, and Sales to ensure research efforts are aligned with business objectives.

Work closely with the developers in the Customer Success Applied Research group to align the development of internal research tools.

Prepare and present research findings and recommendations to senior leadership and stakeholders in an easily digestible format.

Champion the voice of the customer across the organization by effectively communicating insights from customers and advocating for their needs.

Mentor and develop team members, fostering a culture of continuous learning, growth, and excellence.

Stay up-to-date with industry trends, best practices, and emerging technologies related to customer experience and research methodology.

The R&D department is seeking a highly capable and independent data scientist motivated to tackle hard problems as part of our Data Science team. The selected applicant will have the opportunity to make an impact using data on the company AI strategy and implementation, and a contribution to global sustainable development goals.
*This is a temporary position starting December 2025 and expected through September 2026-There is a potential extension.
Key Responsibilities:
Keep current of the State-of-the-Art in Machine Learning research and its application to SAR imagery.
Contribute to all aspects of utilization of SAR imagery: Acquisition, pre-processing and transformation, sensor fusion, classification and detection, segmentation, anomaly and change detection, and so on.
Take full-lifecycle ownership of Machine Learning solutions as part of our breakthrough products and product development squads.
Strengthen our Machine Learning practice, continuously learn and share knowledge with your peers.
Grow the impact that we bring in the various industries in which we operate, contributing to the scientific community.