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SciPlay, is a global leader focused in providing an ever-expanding portfolio of robust iGaming and Social Casino solutions to the global gaming industry. To put it simply - we make Mobile and Facebook games that are fun to play, fun to make, and we're growing like crazy! SciPlay's reach is made possible by the expertise of our rock star teams and game makers. Want to be part of a fast-paced company that lands in the Top 1% of Social Casino games? See more details below!

Position Summary

As a data science product analyst, you will support new and ongoing data science projects from the analytical perspective: business validation, product fit, data analysis, and data preparation. You will participate in the full lifecycle of data science projects from ideation and proof of concept, through development, to production release and ongoing support.

Key Responsibilities:

Collaborate with cross-functional teams including Product, Engineering, and Design to develop data-driven strategies.

Analyze product performance data to extract insights and support decision-making.

Develop and maintain data pipelines using SQL, Python, and Spark to handle large-scale datasets.

Build and test predictive models, with a focus on personalization and recommendation systems.

Translate complex data findings into actionable recommendations to enhance user experience and engagement.

Support the deployment, monitoring, and maintenance of data-driven solutions in a production environment.

Check Point is a global leader in cybersecurity, dedicated to protecting organizations from cyber threats. Our team is at the forefront of developing innovative cloud solutions, and we are looking for a Senior DevOps Engineer to join our Cloud Network Security group.

Key Responsibilities
As a DevOps Engineer at Check Point, you will design, implement, and manage CI/CD pipelines, collaborate with cross-functional teams, and ensure the high availability and reliability of our cloud-based services and solutions.

Responsibilities:

Design, implement, and manage CI/CD pipelines to automate the deployment of SaaS
Collaborate with development, QA, and operations teams to ensure smooth and reliable software releases.
Monitor system performance and troubleshoot issues to ensure high availability and reliability of our services.
Implement and manage infrastructure as code (IaC) using tools like Terraform, CloudFormation and ARM.
Optimize system performance, scalability, and security.
Develop and maintain documentation for infrastructure and deployment processes.

Key Responsibilities
We are looking for a QA Engineer, who has good attention to detail, is thorough, strives for uncompromised quality, has the desire to learn new things on a daily basis, and solves technological challenges with a proactive approach to constant improvement.