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LexisNexis Legal & Professional

Legal, government, and business intelligence platform

Senior Data Scientist 2

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeShanghai, ChinaNo salary listedIn-person

About the Job

Requirements

  • A Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field is required.
  • Four to six years of experience working in data science, machine learning, or artificial intelligence, with a track record of delivering impactful projects.
  • Proficiency in programming languages such as Python and relevant data science libraries such as scikit-learn, TensorFlow, and PyTorch.
  • Experience with generative AI models and techniques, such as large language models and generative adversarial networks, for content generation.
  • Expertise in prompt engineering for fine-tuning language models such as GPT-4 or similar models.
  • Familiarity with retrieval-augmented generation and related tuning and evaluation approaches.
  • Strong knowledge of statistical analysis, machine-learning algorithms, and data manipulation techniques.
  • Ability to work independently and as part of a team.
  • Ability to convey complex technical concepts to non-technical stakeholders.

Responsibilities

  • Perform advanced data analysis, modeling, and machine learning to develop predictive and prescriptive models that drive business outcomes.
  • Collect, clean, and preprocess large datasets, ensuring data quality and reliability.
  • Develop and implement machine-learning algorithms and artificial-intelligence solutions to solve complex business problems.
  • Create data visualizations to communicate results and insights to stakeholders.
  • Collaborate with data engineers, business analysts, and domain experts to identify opportunities and address business challenges.
  • Stay up to date with trends and techniques in data science and contribute to developing innovative solutions.
  • Assist in deploying machine-learning models into production environments.
  • Maintain comprehensive documentation of projects, models, and code for knowledge sharing and reproducibility.
  • Conduct experiments on large datasets to evaluate the feasibility, results, and performance of natural language processing and large language models.
  • Make sound engineering decisions and improve software development practices with a focus on performance and reliability.

About the Company

LexisNexis Legal & Professional

Legal, government, and business intelligence platform

LexisNexis Legal & Professional provides legal, government, business, and high-tech information through subscription-based access to a vast repository of licensed news publications and corporate data. Its offerings, such as Nexis AI, enable advanced research, intelligence gathering, and automatic document summarization for professionals in law firms, corporations, government agencies, and academic institutions. The platform works by delivering curated information and insights from millions of companies and publications via a search and analysis interface, helping users find accurate information quickly. The company differentiates itself with a long history of service, a broad, licensed data library across multiple sectors, and AI-powered tools that streamline research and decision-making. Its goal is to help clients make informed decisions, achieve a competitive advantage, and boost efficiency by providing trusted information and tailored analytics.

Company size
5,001-10,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$30M
Headquarters
New York City, New York
Founded
1973

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