Full Stack Data Scientist

The Role
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:
#LI-JB1
Accommodations at Arm
At Arm, we want our people to
Do Great Things . If you need support or an accommodation to
Be Your Brilliant Self
during the recruitment process, please email ##### . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
Hybrid Working at Arm
Arm's hybrid approach to working is centred around flexibility, where we split our time between the office and other locations to get our work done. Within that framework, we empower groups and teams to determine their own particular hybrid working pattern, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Equal Opportunities at Arm
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.