דרושים » ניהול ביניים » Senior data Scientist (משרה של כ 70% פיתוח ב Pyhton בסביבת Production)

We are looking for an experienced Senior Data Scientist to join our rapidly growing data science team, focusing on creating ML-driven prediction and anomaly detection models. As a Senior Data Scientist, you will lead the analysis of large (often massive) datasets, develop models and algorithms to meet customer needs. You will be working closely with other data scientists, data engineers, product managers and domain experts to improve our automotive purpose-built data management platform, focusing on vehicle quality, cybersecurity and API security use cases.
As a Senior Data Scientist, youll play a pivotal role in driving innovation and shaping the future of ML-based solutions in automotive quality and cyber security. Youll work on challenging datasets, develop advanced models, and see your work integrated into impactful, real-world applications.
Your work will directly enhance the safety and quality of advanced automotive systems and cybersecurity solutions. We prioritize talent development, offering you opportunities to learn, innovate, and grow in a collaborative environment.
This role is full-time and is Herzliya, Israel based.
Responsibilities
Conduct in-depth research on large and diverse automotive live streaming tabular datasets, preprocess the data, as well as extract and present key insights
Search and craft indicative features that will enhance the value of ML models
Explore, design and deploy cutting-edge ML models or algorithms solutions for prediction purposes and anomaly detection
Collaborate closely with domain experts and peers to research and implement models and algorithm flows that best fit requirements
Partner with our data engineering and development teams to devise innovative solutions for productization
Encourage collaboration and knowledge-sharing within the data science team.

Required Senior Data Engineer
Description
Join our core platform engineering team, developing our AI-powered automotive data management platform.
We are developing the next generation data-driven products for the Automotive industry, focusing on cybersecurity (XDR) and vehicle quality. our products monitor and secure millions of vehicles worldwide and help automakers leverage connected vehicle data to deliver cyber resilience, safety, customer satisfaction and increase brand loyalty.
Our Data Engineering & Data Science Group leads the development of our Iceberg-based data platform, including data lake, query engine, and ML-Ops tools, serving as a solid AI-ready foundation for all our products.
At the core of our Engineering Team, you will build and operate scalable, production-grade customer-facing data and ML platform components, focusing on reliability and performance.
Technological background and focus: Iceberg, Trino, Prefect, GitHub Actions, Kubernetes, JupyterHub, MLflow, dbt
This role is full-time and is Herzliya, Israel based.
Responsibilities
Design, build, and maintain scalable data pipelines to ingest and transform batch data on our data lake, enabling analytics and ML with strong data quality, governance, observability, and CI/CD.
Build and expand our foundational data infrastructure, including our data lake, analytics engine, and batch processing frameworks.
Create robust infrastructure to enable automated pipelines that will ingest and process data into our analytical platforms, leveraging open-source, cloud-agnostic frameworks and toolsets.
Develop and maintain our data lake layouts and architectures for efficient data access and advanced analytics.
Build our ML platform and automate the ML lifecycle.
Drive business-wide ML projects from an engineering perspective.
Develop and manage orchestration tools, governance tools, data discovery tools, and more.
Work with other team members of the engineering group, including data architects, data analysts, and data scientists, to provide solutions using a use case-based approach that drives the construction of technical data flows.

We are seeking a seasoned and strategic Head of BI to lead our Business Intelligence group.
In this pivotal role, you will be responsible for overseeing the full BI stackfrom data infrastructure and pipelines to analytics and reportingwhile managing a team of data engineers and analysts.
You will drive the design and execution of our data strategy, ensure delivery of trusted insights across the organization, and lead the team responsible for building and maintaining our data platform and analytics capabilities. This is a hands-on leadership role requiring a balance of technical depth, managerial experience, and strategic thinking.Responsibilities
What Youll Be Doing:
Lead, mentor, and scale a cross-functional team of BI Analysts and Data Engineers.
Own and evolve our data warehouse architecture, ensuring integrity, scalability, and performance (Snowflake preferred).
Oversee the design and development of ETL/ELT pipelines and semantic data models using tools such as dbt, Python, and Airflow.
Collaborate with senior stakeholders to align business goals with data priorities, translating requirements into scalable solutions.
Define and implement best practices across the entire BI lifecycle: data ingestion, transformation, modeling, visualization, and governance.
Deliver robust, actionable dashboards and insights that drive key business decisions and KPIs.

Were looking for a Big Data Engineer who loves turning massive, messy datasets into scalable, reliable systems. Youll design and maintain data pipelines, ensure data quality, and collaborate with data scientists and product managers to bring new insights to life.

What youll do:
Design, build, and optimize scalable data pipelines and ETL processes
Own data products from design to production.
Ensure data accuracy, integrity, and performance across large datasets.
Collaborate with data scientists and engineers to deliver production-grade experiment.

Our Data Solutions Group is looking for an exceptional Python developer with Data Engineering experience.