Data Science Solutions Architect

2 weeks ago

Dublin, Dublin City, Ireland beBeeData Full time €60,000 - €90,000
Job Description:

We are looking for a Data Science Solutions Engineer to join our team. This role will be responsible for supporting the development and maintenance of software tools that underpin Data Science solutions and operations. You will collaborate with business stakeholders and engineering teams to gather requirements and contribute to the design and implementation of solutions.

You will assist in maintaining and enhancing existing tools/services developed by the Data Science team. You will also build CI/CD pipelines and contribute to testing, logging, and monitoring processes under guidance. In addition, you will participate in code reviews and follow best practices for clean, maintainable code.

As a Data Science Solutions Engineer, you will continuously develop technical skills and support the wider team working under the mentorship of senior engineers. You will report to the Head of MLOps.

Responsibilities:
  • Collaborating with team members and stakeholders to understand project requirements and identify areas where support is needed
  • Staying up to date with developments in Data Science and DevOps to help ensure our tech stack remains current
  • Contributing to the development of Data Science engineering solutions by:
    • Supporting data collection, cleaning, and preparation based on identified requirements
    • Assisting in the implementation of engineering solutions using appropriate tools and technologies
    • Following best practices for CI/CD, testing, logging, and monitoring under guidance
    • Writing scalable, production-ready code where appropriate with support from senior colleagues
  • Participating in deployments and monitoring the solution impact
  • Supporting ongoing development and maintenance of internal Data Science tools/platforms such as Multi-variate testing platform, Cloud-based ML deployment tool, Automated decision-making platform, MLOps pipeline management tool, and various internal Python libraries and utilities
  • Assisting with BAU tasks and ongoing support of tools and services provided by the Data Science team
  • Clearly communicating updates and progress to team members in a way that suits both technical and non-technical audiences
  • Participating in proof-of-concept projects helping to explore innovative solutions and learning how to analyse and interpret data effectively
  • Taking ownership of personal development by seeking guidance and feedback from mentors and contributing positively to a collaborative team environment

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