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Position Overview: We are seeking talented and driven Senior Data Scientists to join our growing team at Diligent. Reporting to Applied Science Manager, this exciting role involves working on state-of-the-art projects in Natural Language Processing (NLP), Large Language Models (LLMs), and other advanced AI methodologies. Your contributions will be crucial in developing platform-level AI capabilities, such as document set comprehension, longitudinal insight extraction, semantic search, and structured retrieval augmented generation, to accelerate AI adoption across Diligent's diverse product suite.

Key Responsibilities

• Design and develop machine learning models and algorithms for various applications.
• Test and evaluate the performance of these models and algorithms.
• Collaborate with the applied science teams to develop and implement NLP solutions for processing large document sets.
• Develop and support semantic search, structured retrieval, and RAG use cases across various Diligent products.
• Utilize LLMs, knowledge graphs, traditional NLP methods, and custom models to provide document set comprehension capabilities and facilitate insight extraction.
• Implement and fine-tune models using Python and PyTorch, leveraging AWS infrastructure.

Required Experience/Skills

• 5+ years of relevant experience.
• Designing and fine-tuning structured, multi-level agentic RAG solutions, backed by diverse sources (cross-tenant and tenant-specific, flat or hierarchical), utilizing collaborative and supervisor agents with tooling access.
• Establishing RAG evaluation frameworks and continuously monitoring metrics, with recommendations for pipeline optimization (e.g., chunking strategies including standard, hierarchical, semantic, sizing, etc.)
• Proficiency in Python, NumPy, scikit-learn, Pandas, NLTK, spaCy, PyTorch, or similar.
• Experience with model deployment and scaling.
• Strong foundational knowledge in NLP, machine learning, and statistical modeling.
• Proficiency in building ML/AI pipelines and relevant tools such as MLFlow, AWS SageMaker, or similar.
• Bachelor’s degree in Computer Science, Machine Learning, Mathematics, or a related field.

Preferred Experience/Skills

• Hands-on experience with LLMs including prompt engineering, fine-tuning, model evaluation, and building RAG-based functionality.
• Experience with semantic search and information retrieval systems.
• Familiarity with reinforcement learning methods.
• Master’s or PhD in Computer Science, Machine Learning, Mathematics, or a related field.

What Diligent Offers You

• Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
• We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
• We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
• Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.

Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.

Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney.  To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.

We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.

To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.