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At iCIMS, we're redefining how people connect with opportunity through intelligent, human centred technology.
We're seeking a Senior Principal Data Scientist to shape the future of our Talent Cloud platform, architecting and delivering advanced AI/ML solutions that power our GenAI, LLM, agentic frameworks, and NLP driven features at scale.
You'll serve as a technical authority, helping to drive AI strategy and implementation across the organisation.
You'll mentor data scientists and engineers, partner with cross functional leaders, and influence the direction of our AI powered products in a culture that values innovation, ownership, and continuous learning.
This is a hybrid position based in Dublin city centre, our strategic hub for AI development in Ireland.
Responsibilities
Architect, design, build, and oversee the deployment of large scale AI/ML systems, including natural language processing, deep learning, and generative AI solutions
Drive AI strategy and roadmap in collaboration with engineering, product, and business leaders
Lead cross functional initiatives that deliver transformative AI capabilities and measurable business impact
Establish best practices for reproducible, ethical, and production ready AI, ensuring robust model governance, transparency, and fairness
Develop frameworks for automated data extraction, cleaning, transformation, and model evaluation at scale
Mentor and coach data scientists and engineers, fostering technical excellence and continuous learning
Drive research and innovation, staying current with AI/ML advancements and influencing technology adoption
Present strategy, plans, and findings to executive leadership and customer stakeholders
Represent iCIMS AI in external forums through publications, talks, and partnerships
Qualifications
Bachelor's degree in Data Science, Computer Science, Machine Learning, Statistics, or related field (or equivalent professional experience)
Extensive hands on experience with advanced machine learning, deep learning, and natural language processing techniques
Demonstrated success leading end to end AI projects from conception to production deployment in complex environments
Expertise in software engineering, scalable data architectures, and MLOps practices
Exceptional communication and leadership skills with a track record of mentoring and influencing technical teams
Proven ability to drive cross functional initiatives and engage effectively with executive stakeholders
Strong analytical and problem solving skills with intellectual curiosity