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Senior Data Scientist II - Generative AI / RAG / Agentic AI
- United States
- United States
Über
Do you want to work on advanced Generative AI systems that turn complex information into clear, trusted insights?
About our Team You will join a multidisciplinary team of data scientists, engineers, and product partners focused on building intelligent, reliable, and responsible AI solutions for legal and business professionals. We work collaboratively, value thoughtful experimentation, and prioritize high-quality, production-ready outcomes.
About the Role As a
Senior Data Scientist II , you will design and improve
Generative AI, Retrieval-Augmented Generation (RAG),
and
agentic RAG systems
that power drafting, search, and reasoning use cases. You will focus on retrieval quality, evaluation, and production-grade machine learning components, working closely with cross-functional partners to deliver measurable improvements in relevance, accuracy, and user trust.
Responsibilities
Design, build, and optimize
Generative AI, RAG , and
agentic RAG
systems for drafting, search, and reasoning use cases Improve
LLM -generated outputs through prompt design, retrieval optimization, evaluation, and experimentation Develop and maintain scalable
data science
and
machine learning
components for production environments Build and enhance retrieval pipelines, including query processing, document retrieval, ranking, reranking, and grounding strategies Apply text search and relevance tuning techniques using platforms such as OpenSearch and Solr Use embeddings, hybrid retrieval, semantic search, and reranking methods to improve answer quality and system performance Write high-quality, maintainable, production-ready Python code following strong software engineering practices Collaborate closely with partners across data science, engineering, product, and domain teams Requirements
Proven experience building and improving
Generative AI
and
LLM-based
solutions in production or near-production settings Strong experience with
RAG frameworks , retrieval-based AI architectures, and
agentic workflows Advanced Python
skills, including modular design, testing, debugging, and clean coding practices Strong understanding of information retrieval, text search methods, and retrieval architectures Hands-on experience with
OpenSearch, Solr,
or similar search platforms Experience with
embeddings, semantic retrieval, reranking , and relevance optimization Proven ability to work effectively in a monorepo environment with disciplined version control and code review practices Experience collaborating in cross-functional teams and contributing to CI/CD and deployment workflows
Work in a Way That Works for You We promote flexible ways of working that support collaboration, focus, and personal wellbeing, while meeting the needs of our teams and customers.
Working Pattern This role supports flexible working arrangements, balancing individual productivity with team collaboration.
About the Business You will be part of the LNLP division, within the Standard business unit, delivering trusted information and technology solutions that help professionals make confident decisions.
#AIFluent
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.If performed in Maryland, the base pay range is $110,100 - $183,500.If performed in New York, the base pay range is $115,400 - $192,200.If performed in New York City, the base pay range is $125,900 - $209,700.If performed in Rochester, NY, the base pay range is $104,900 - $174,700.If performed in New Jersey, the base pay range is $123,816 - $197,784.This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click
here
to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
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here
Please read our Candidate Privacy Policy.
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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Sprachkenntnisse
- English
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