高级数据科学家 II
Senior Data Scientist II
关于团队：
LexisNexis Legal & Professional 为全球150多个国家的客户提供服务，拥有11,800名员工，是 RELX（www.relx.com）的一部分，RELX 是一家为专业和商业客户提供基于信息的分析和决策工具的全球供应商。我们公司长期以来一直致力于将人工智能和先进技术部署到法律市场，以提高生产力并改变法律行业的整体业务和实践方式。我们采用灵活的多模型方法，优先选择当前顶级模型创作者的最佳模型，为每个具体的法律使用场景提供道德且强大的生成式 AI 解决方案。公司拥有超过2,000名技术人员、数据科学家和专家，根据 RELX 负责任的 AI 原则开发、测试和验证解决方案（
职位描述：
你是否希望发展自己的数据科学家职业生涯？
你喜欢培训更初级的团队成员吗？
我们正在寻找一名高级数据科学家 II，帮助领导法律领域内 AI 驱动产品功能的设计和验证。该团队是全球 AI 平台团队，负责构建 AI 产品并将 AI 功能交付到生产环境。团队专注于前沿 AI 技术，并广泛利用最新的 AI 工具/功能作为产品的一部分。
职责：
- 开发并实现 NLP、LLM 和生成式 AI 方法（例如 RAG、提示策略）。
- 为多步骤法律任务定义代理工作流和推理策略。
- 开发检索策略，包括混合搜索（语义 + 词汇），以及评估指标（例如相关性、排名质量）。
- 分析大规模法律数据集，提取洞察并提升模型性能。
- 建立模型评估、验证和基准测试的最佳实践。
- 将实验结果转化为清晰的产品建议和业务影响。
- 与产品、法律专家和工程师合作，确保解决方案符合用户需求。
- 指导团队成员，提供数据科学和 AI 方面的技术领导力。
要求：
- 量化或技术领域的硕士及以上学位（统计学、计算机科学、数学、数据科学等）。
- 在机器学习、NLP 和基于 LLM 的建模方面有丰富经验。
- 在设计和运行实验方面有丰富经验，包括模型评估和迭代。
- 有生成式 AI 技术经验（例如提示工程、RAG）。
- 有设计和评估混合搜索的经验。
查看英文原文
About the Team:
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (
About the Role:
Are you looking to develop your Data Scientist career?
Would you enjoy training more junior team members?
We are seeking a Senior Data Scientist II to help lead the design and validation of AI-driven product capabilities within the legal domain. This team is global AI platform team that builds AI products and ships AI features to production. The team works on cutting edge AI technology and extensively leverages latest AI tools/Features as part of product.
Responsibilities:
- Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).
- Define agentic workflows and reasoning strategies for multi-step legal tasks.
- Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).
- Analyze large-scale legal datasets to extract insights and improve model performance.
- Establish best practices for model evaluation, validation, and benchmarking.
- Translate experimental results into clear product recommendations and business impact.
- Collaborate with product, legal experts, and engineers to align solutions with user needs.
- Mentor team members and provide technical leadership in data science and AI.
Requirements:
- Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).
- Strong experience in machine learning, NLP, and LLM-based modeling.
- Strong experience designing and running experiments, including model evaluation and iteration.
- Experience with generative AI techniques (e.g., prompt engineering, RAG).
- Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.
- Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.
- Proficiency in Python and data analysis tools.
- Strong foundation in statistics, modeling, and large-scale text processing.
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.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.
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Originally posted on Himalayas