Full Stack Data Scientist

Job Overview:

Here, we're driven by innovation. Arm is at the epicenter of the world’s largest computing ecosystem, and now we're looking to the future.

We are building a Linux-focused Quick Tools team to accelerate the adoption of new Arm technologies throughout our software ecosystem. The team partners with the development community and works alongside our tool teams to provide freely downloadable small tools and libraries that aid developers in porting and solving performance analysis and related problems.

This role is to work within our Quick Tools and wider profiling tools teams to be the machine learning and Data Scientist subject matter expert driving value through better collection, analysis and visualisation of data.

Responsibilities:

• Develop end-to-end data science solutions, encompassing both front-end and back-end development.
• Collaborate with cross-functional teams to understand business requirements and implement data-driven features.
• Create interactive and user-friendly dashboards and visualizations for data analysis.
• Implement machine learning models into production systems and optimize for real-time processing.
• Participate in code reviews, and documentation, and ensure best practices in software development.

Required Skills and Experience :

• Proven experience as a Full Stack Developer or similar role, with a focus on data-related projects.
• Strong proficiency in programming languages such as Python, JavaScript, and proficiency in relevant frameworks (e.g., Flask, Django, React, Angular).
• Solid understanding of machine learning algorithms and experience deploying models in production.
• Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

“Nice To Have” Skills and Experience :

• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).

In Return:

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