Our Client in Limerick is looking for a Lead Data Scientist to join their team.
Primary duties may include but are not limited to:
Write correct and clean code with limited guidance while ensuring following best practices.
Demonstrate9d ability to effectively collaborate across multiple teams and stakeholders to drive business outcomes
Analyse and classify semi-complex change request and identify and documents possible system code enhancements.
Code and maintain different components of information systems.
Develop a general understanding of how the work fits in to the larger project and identifies problems or issues in requirements.
Effective Participation in scrum ceremonies like Daily Stand Up, Sprint Planning, Retroactive, Backlog Refinement etc
Colloborate effectively with DevOps team for code build and management
Review code effectively (PR Reviews) and contribute to coaching junior members of the team
Effective status updates on the work items and collaborate with Tech Leads to resolve any/all impediments for a given delivery.
Requirements
Bachelors or Masters (in data science, Artificial Intelligence, Statistics, Computer Science, Physics, Mathematics, or related quantitative disciplines)
Demonstrated experience in Designing an end-end DS solution with focus on NLP embeddings- linear and non-linear, Vector Databases, fine tuning LLMs
Excellent software engineering skills with python and be able to establish coding standards for the team
Minimum 5+ years of overall industry experience and experience mentoring junior developers and setting best practices
Demonstrated experience in storytelling through data and being able to define the right Business and Model metrics to stakeholders
Hands on experience in Linting, unit testing, and docker, CI/CD
Ability to deliver to short timelines and under pressure
Desire to become a technical SME
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
Eagerness to learn and stay current with industry trends, emerging technologies, and best practices in data science and cloud-based data warehousing
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