Senior Data Scientist II

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Technology - Data Science Organization

Do you want to build advanced AI that helps researchers discover, understand, and advance science? Are you excited by the opportunity to design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale? Would you enjoy building production ready solutions using machine learning, NLP, and generative AI to create meaningful impact for researchers and professionals?

Our global team supports products in education, electronic health records, and data discovery that introduce students to digital charting and prepare them to document care in today's modern clinical environment. We have a very stable product that we've worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality.

In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM based approaches to build scalable, reliable systems with real user impact. You will also collaborate across teams to turn complex challenges into practical, production ready solutions.

• Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge discovery applications.
• Develop LLM powered workflows and retrieval augmented generation (RAG) systems for search, summarization, question answering, and evidence grounded insight generation.
• Build intelligent retrieval, ranking, recommendation, and decision support capabilities using modern orchestration frameworks and AI techniques.
• Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows.
• Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability.
• Write production ready Python code and partner with engineering teams to deploy solutions at scale.
• Provide technical leadership and mentoring to support high quality delivery and continuous improvement.

• Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field.
• Strong hands on experience building AI/ML, NLP, generative AI, and retrieval based systems in applied or product focused environments.
• Expertise working with LLMs, including fine tuning, prompt engineering, grounding strategies, and responsible AI practices.
• Strong Python skills and solid machine learning fundamentals.
• Experience working with large scale text or content rich datasets and modern AI/ML frameworks.
• Experience with RAG, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact.
• Familiarity with cloud platforms and modern software engineering practices.
• Strong communication, collaboration, and mentoring skills.

We promote a healthy work/life balance and offer flexible hours, allowing you to schedule work around your most productive times. Our wellbeing initiatives, shared parental leave, study assistance, and sabbaticals help you meet both immediate responsibilities and long term goals.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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