לוח משרות דרושים Data Scientist בשרון

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.

Were looking for a data scientist to join our team and further improve fraud detection capabilities.
This position involves analyzing evolving fraud patterns, developing and deploying advanced prevention components, and leveraging domain expertise, data tools, and modern AI methods to stay ahead of emerging threats.

A partial list of our tech stack: Python (and its related scientific stack), Spark, TensorFlow/PyTorch, Kafka, AWS services, Airflow, Scala, BigQuery, and more

What you'll do:
Mine massive data sets to uncover fraud patterns and prevention opportunities.
Develop and productionize large-scale ML, DL, and AI models to detect and prevent fraudulent activity.
Translate business and product needs into scientific, explainable, and high-impact solutions.
Design and maintain end-to-end ML pipelines - from data ingestion and feature engineering to serving and monitoring in production.
Collaborate closely with product, engineering, and business teams to drive data-driven decisions.
Stay current with AI and ML research and evaluate new technologies to strengthen Protect360s algorithms.