Principal Data Scientist

At iCIMS, we’re transforming how talent connects with opportunity through intelligent, humancentered technology. We’re seeking a Principal Data Scientist to play a pivotal role in advancing the AI capabilities that power our Talent Cloud platform. In this role, you will architect sophisticated ML solutions, lead complex initiatives, and partner closely with engineering and product teams to drive meaningful innovation across our GenAI, LLM, agentic AI, and NLPbased systems.

ICIMS is a leading enterprise hiring platform that combines the scale and reliability of enterprise software with the transformative power of AI. Thousands of organizations across more than 200 countries and territories trust ICIMS to find and hire the people who shape their future and drive their business forward. Powered by insights from billions of hiring interactions, continuous AI innovation, and a highly extensible platform, ICIMS helps organizations turn talent acquisition into a competitive advantage. For more than 25 years, ICIMS has delivered end-to-end hiring solutions that improve recruiting efficiency, reduce costs and create exceptional candidate experiences.

ICIMS helps solve one of the biggest challenges businesses face today: building a workforce that can adapt, scale, and perform in an increasingly competitive and unpredictable talent market. We uniquely do that by combining enterprise-grade hiring technology, AI-powered insights and automation, and connected talent experiences to help organizations improve hiring outcomes while driving measurable impact.

• Architect, design, and implement largescale AI/ML systems spanning NLP, deep learning, generative AI, agentic frameworks, and RAGbased pipelines.
• Develop productiongrade model training, evaluation, and monitoring workflows that support scalable, repeatable deployments.
• Build and enhance automated data processing frameworks, including ingestion, cleaning, transformation, feature engineering, and validation.
• Lead major AIdriven projects in close collaboration with engineering, product management, user experience, and platform teams.
• Provide seniorlevel technical mentorship to data scientists, ML engineers, and crossfunctional partners, elevating modeling rigor and engineering excellence.
• Establish and refine best practices related to ML reproducibility, model governance, observability, fairness, and responsible AI principles.
• Conduct applied research on emerging ML methods—including LLM adaptation, prompting strategies, model optimization, vector search/RAG, and agentbased orchestration—and translate findings into highimpact product capabilities.
• Prototype, experiment, evaluate, and operationalize new AI features, contributing to the advancement of our AI/ML roadmap.
• Present technical insights, modeling results, and architectural recommendations to senior leadership and contribute to roadmap prioritization.
• Support product teams in identifying opportunities for AI integration, offering guidance on feasibility, complexity, and expected value.
• Collaborate with platform and infrastructure teams to ensure models and pipelines meet performance, reliability, and scalability expectations.
• Participate in external knowledgesharing opportunities, contributing to iCIMS’ reputation in the AI/ML community when appropriate.

• Bachelor’s degree in Data Science, Computer Science, Machine Learning, Statistics, Engineering, or a related technical field (or equivalent professional experience).
• 10+ years of handson experience developing machine learning, deep learning, NLP, or generative AI systems in production environments.
• Proven experience leading complex AI/ML initiatives from initial research through deployment.
• Strong software engineering skills, including experience with distributed systems, scalable ML infrastructure, and MLOps workflows.
• Demonstrated ability to mentor technical contributors and collaborate effectively with crossfunctional peers.
• Strong communication skills with the ability to translate technical concepts into businessoriented insights and influence decisionmaking.
• Strong analytical thinking, experimentation discipline, and problemsolving capabilities

iCIMS is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at iCIMS. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you’d like to request an accommodation due to a disability, please contact us at [email protected].

iCIMS offers a comprehensive benefits package: medical, vision, and dental, life insurance, pensions, tuition reimbursement, lifestyle spending accounts, and generous paid time off plans (vacation, sick, parental leave). Learn more here: https://careers.icims.com/benefits

• Bachelor’s degree in Data Science, Computer Science, Machine Learning, Statistics, Engineering, or a related technical field (or equivalent professional experience).
• 10+ years of handson experience developing machine learning, deep learning, NLP, or generative AI systems in production environments.
• Proven experience leading complex AI/ML initiatives from initial research through deployment.
• Strong software engineering skills, including experience with distributed systems, scalable ML infrastructure, and MLOps workflows.
• Demonstrated ability to mentor technical contributors and collaborate effectively with crossfunctional peers.
• Strong communication skills with the ability to translate technical concepts into businessoriented insights and influence decisionmaking.
• Strong analytical thinking, experimentation discipline, and problemsolving capabilities