Our fantastic Client in Limerick City is looking for a Senior 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.
• Demonstrated ability to effectively collaborate across multiple teams and stakeholders to drive business outcomes
• Analyse and classify semi-complex change request and identify and documents 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
• Collaborate 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 developing an end-end DS solution with focus on NLP embeddings- linear and non-linear, Vector Databases, fine tuning LLMs
• Excellent software engineering skills with hands on python and coding standards
• Minimum 3+ years of overall industry experience and experience coaching junior developers and setting best practices
• In depth understanding and demonstrated use of evaluation metrics and picking the right model metrics for the right use case
• 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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