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We are looking for a talented and experienced data engineer to join our data team.
RESPONSIBILITIES:
Designing and implementing our data platform
Transforming, modeling, and serving all of our medical data.
Utilize data best practices, to improve the product and allow data-driven decision-making.
Collaborate closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Stay updated with the latest research and advancements in the data field.

Required Senior Data Scientist
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Hands-on Data Scientists key role in our innovative science team. Build, support, drive, collaborate and guide on our AI/ML cybersecurity solutions and its operation pipelines built on Azure.
What You'll Be Doing:
Develop and implement advanced AI/ML cybersecurity models in areas such as Classification, Regression, Clustering, Anomaly Detection, Semantic Search, Recommendation Systems, Named Entity Recognition (NER), and Generative AI.
Analyze data throughout AI/ML pipelines to improve our understanding and predictions capabilities.
Assist with defining, implementing, and maintaining a complete MLOps pipelines on Azure.
Collaborate with other Data Scientists, Engineering and Product teams to enable efficient and valuable ML-based solutions.
Stay updated on the latest AI/ML technology and practices to ensure quality and release efficiency.

We are looking for a Data Engineer to join our Biz Data Engineering team! We are looking for an experienced backend engineer with a strong background in writing ETLs and complicated data processing pipelines. Youre deeply familiar with modern data processing stack (especially Spark, Hadoop and Airflow), have a strong problem-solving attitude and, most importantly, youre passionate about understanding the business side of the platform. Our platform engineers have an end-to-end understanding of the data our products generate and the commercial models and data structures in which they fit.
What youll do:
Develop end-to-end ETLs and data infrastructure features from data processing logic to database choice and implementation through to API development
Improve the scalability and performance of existing data pipelines
Delve into existing pipelines and business logic, target weaknesses and add functionality
Mentor, advise, and work collaboratively within the Biz Data & Dev group, with other development teams, and with all other business teams of the company
Continuously learn and follow new technologies both for personal growth and to ensure we are making the most informed technology choices possible.

Were looking for a Senior Data Scientist with ML and engineering skills to join the Data Science Team.
Highlights:
Best of both worlds - we are a small site and operate similarly to how we did as a startup, but now with the resources of a Fortune 500 company
Experience with a rich set of DS problems - one of the truly unique aspects of our domain is the tremendous diversity of data and AI challenges we work on. Some examples include LLMs for querying data lakes, marketing recommender systems, time-series models, entity resolution clustering, information extraction, and much more.
Impact - we are a small team working to impact a multi-billion dollar business
Work alongside amazing talent with the opportunity to broaden your horizons in ML, cloud tech stacks, communication skills, leadership and much more.
On a typical day, you will:
Develop, evaluate, and continuously improve genAI and machine learning models using engineering and advanced data science approaches
Conduct exploratory data analyses including use of visualization and statistics
Communicate results orally and in writing, both internally and to external audiences
Partner with multi-functional peers from engineering, product, and business to deliver machine learning models
Strive to make impact by deploying models to production
Promote a culture of data science excellence.

Responsibilities:
Working on projects across multiple DS disciplines (Tabular datasets, Vision, NLP, Bayesian modeling, etc..).
Apply complex analytical techniques to derive actionable insights.
Converting business needs into working data science projects (Identifying problems and providing solutions from ideation to deployment).
Conducting research and implementing new initiatives.
Working closely with our product, analysis, data and development departments.
Designing and Creating machine learning and DS pipelines used to ease, enhance and automate analysis tasks.
Optimizing and improving existing ML/DL models and pipelines.
Working with big data (BigQuery, SQL).

Roles & Responsibilities:
Identify valuable data sources and automate collection processes.
Undertake the preprocessing of structured and unstructured data.
Analyze large amounts of information to discover trends and patterns.
Build predictive models and machine-learning algorithms.
Propose solutions and strategies for business challenges.

Were looking for an experienced Senior BI Engineer to join our BI Data Platform team in TLV.
As a Senior BI Engineer, you will play a pivotal role in the organization's data platform and analysis. You will lead the design, development, and maintenance of BI solutions that empower stakeholders across the company and contribute to informed decision-making processes while leveraging your extensive experience in business intelligence.
This is an excellent opportunity to be part of establishing our BI data platform, implementing cutting-edge technologies in a cloud environment.
In this role youll:
Lead the design and development of scalable and efficient BI solutions that align with organizational goals and requirements
Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs
Implement ETL processes to ensure the extraction, transformation, and loading of data from various sources into the BI platform
Identify and address performance bottlenecks within BI solutions, optimize queries, and enhance data retrieval efficiency
Implement best practices for DWH and database performance tuning
Conduct thorough testing of BI applications and implement robust validation processes
Collaborate with data engineers, developers, ML engineers, data scientists, analysts and product managers
Share knowledge with other team members and promote BI standards.

Were looking for an experienced BI Engineer to join our BI Data Platform team in TLV.
As a BI Engineer, you will play a pivotal role in the organization's data platform and analysis. You will lead the design, development, and maintenance of BI solutions that empower stakeholders across the company and contribute to informed decision-making processes while leveraging your extensive experience in business intelligence.
This is an excellent opportunity to be part of establishing our BI data platform, implementing cutting-edge technologies in a cloud environment.
In this role youll:
Lead the design and development of scalable and efficient BI solutions that align with organizational goals and requirements
Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs
Implement ETL processes to ensure the extraction, transformation, and loading of data from various sources into the BI platform
Identify and address performance bottlenecks within BI solutions, optimize queries, and enhance data retrieval efficiency
Implement best practices for DWH and database performance tuning
Conduct thorough testing of BI applications and implement robust validation processes
Collaborate with data engineers, developers, ML engineers, data scientists, analysts and product managers.

Required Data Engineer
Are you a talented and experienced Data Engineer? If so, we want you to be part of our dynamic Data Engineering Team, a part of the R&D, contributing to our vision and making a difference in the eCommerce landscape. Join us on this journey as we seek the best and brightest minds to drive our mission forward.
What youll do:
Developing, implementing and supporting robust, scalable solutions to improve business analysis capabilities
Managing data pipelines from multiple sources, including designing, implementing, and maintaining
Translating business priorities into data models by working with business analysts and product analysts
Collaborate across the business with various stakeholders, such as data developers, systems analysts, data scientists and softwares engineers
Owning the entire data development process, including business knowledge, methodology, quality assurance, and maintenance
Work independently while considering all functional and non-functional aspects and provide high quality and robust infrastructures to the organization.

We are seeking a passionate data team leader to join our dynamic team. We're revolutionizing how manufacturers extract value from their Big Data, driving Industry 4.0 forward with our cutting-edge industrial AI solutions. In this role, You'll lead a team of data analysts and engineers, collaborating with development and algorithm teams to design and implement game-changing applied data models and solutions. From developing the data strategy to overseeing data -driven client projects, you'll ensure data quality, integrity, and security throughout the entire process.
 
Contribution:
Key Responsibilities:
* Lead, mentor, and manage a team of data analysts and engineers.
* Participate and directly contribute to the team effort with 50% Hands-on involvement.
* Collaborate with development and algorithm teams to design and implement data models and AI solutions.
* Develop and maintain the data strategy, methods, and tools, aligned with business goals.
* Oversee the planning, execution, and delivery of data projects- Infrastructure and client-based solutions.
* Ensure data quality, integrity, and security across all data processes.
* Provide technical guidance in data analysis and management best practices.
* Stay current with industry trends and advancements in AI and data technologies.
* Communicate complex data concepts and insights to both technical and non-technical audiences.

A global sports technology hub offering multiple solutions to millions of users worldwide. The company provides Real-Time results, updated stats, original content, aggregated information, customized news feeds, and more. Our products are based on cutting-edge technologies that enable live updates and on-demand content libraries of the highest quality and scale. We are looking for a talented and experienced data ENGINEER to join our data engineering team. In this role, you will be responsible for designing, implementing, and maintaining our data pipelines and infrastructure. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to ensure the availability, accessibility, and quality of our data assets. Your expertise in data processing, database technologies, and ETL processes will be essential in enabling effective data utilization and analysis.
Responsibilities:
* Design, develop, and maintain efficient and scalable data pipelines that extract, transform, and load data from various sources into target systems.
* Monitor and optimize data pipelines for performance, reliability, and data quality.
* Implement and manage data Storage solutions, including relational databases, data warehouses, and NoSQL databases.
* Implement data partitioning, indexing, and compression strategies for improved performance and scalability.
* Identify and resolve data quality issues, including data cleansing, standardization, and validation.
* Identify and implement performance optimization techniques to enhance data processing speed, query performance, and system scalability.
* Monitor and analyze data infrastructure and pipeline performance, identifying bottlenecks and implementing optimizations.
* Stay updated on emerging technologies and trends in data engineering, proactively identifying opportunities for innovation and improvement.

We are seeking a dynamic and experienced Data Scientist Team Leader to join our growing team.
As a leader in our organization, you will play a crucial role in overseeing a team of data experts, leading data-driven decision-making processes, and contributing to the development of innovative solutions.
The ideal candidate will possess strong leadership skills, extensive knowledge in data science, expertise in managing data professionals, and proficiency in Large Language Models (LLM) and prompt engineering.
Full time Job
Location: Tel Aviv, Hybrid.

We are looking for a talented and experienced Senior Data Engineer to work on our massive data processing and help us deliver more insights from our tens of billions of events.
Job Description:
We are building cutting-edge Datalakes and data solutions, primarily on Databricks for large scale customers.
Our solutions introduce next level automations and aim for low-code/no-code platforms that allows our customers to deliver fast while we hide all the engineering complexity behind.
If you are not afraid of any engineering task, likes to build cool stuff and enjoy when customers use your craft you belong with us.
Full time Job
Location: Tel Aviv, Hybrid.