职位&公司对比

招聘中

高级数据科学家

-K·薪
某知名企业服务上市公司

职位详情

  • 北京
  • 不限
  • 硕士
  • 自然语言处理
  • Java
  • Python

工作职责 1.开发和优化数据挖掘,自然语言处理,推荐BOSS直聘系统等领域的特定算法。 2.利用state-of-the-art的算法解决大规模文本的语义理解,信息抽取,统计,分类,检索,和推荐等产品问题。 3.研究自然语言处理领域最新进展,并应用到业务中。 任职条件 1.有自然语言处理,自然语言理解,机器学习等领域的实际项目研发经验;深入理解中文分词,词kanzhun性标注,句法分析,及统计模型、机器学习、数据挖掘的概念和常用方法;有搜索引擎,文本推荐系统,广告推荐系统,自动文摘,人机对话等领域产品开发经验者优先。 2.对大规模文本数据挖掘系统有深入理解,有Hadoop, Storm, Spark, HBase, Cassandra, MongoDB相关工作经验优先考虑。 3.精通大规模索引和查询系统(如Lucene或Solr者)。 4.精通kanzhunJava或Python,熟BOSS直聘悉Linux开发环境,有较强的编程能力。 5.有独立研究、实验的能力,优秀的分析问题和解决问题的能力,对解决具有挑战性问题充满激情。 6.敬业踏实、积极主动、思维清晰,良好的责任心,较强抗压能力。 7.学历要求:硕士及以上。

职位详情

  • 北京
  • 5-10年
  • 本科
  • 深度学习
  • 机器学习
  • 大模型算法
  • 知识图谱
  • 文本生成
  • 推荐算法
  • 搜索算法
  • 摘要生成
  • 大数据处理工具(Spark/Hadoop/Hive)
  • SQL
  • Python

Lead Data Scientist About the Role The Data Scientist role conduct experiments on large datasets to evaluate the feasibility, results, and performance of NLP& LLM (Large Language Model). This DS make sound engineering decisions and improve software development practices with an eye for performance and reliability. Responsibilities: •Data Analysis andBOSS直聘 Modelling: Perform advanced data analysis, modelling, and machine learning to develop predictive and prescriptive models that drive business outcomes. • Data Collection and Preparation: Collect, clean, a nd preprocess large datasets, ensuring data quality and reliability. • Machine Learning and Al: Develop and implement machine learning algorithms and Al solutions to solve complex business problems. • Data Visualization: Create informative and compelling data visualizations to communicate results an d insights to stakeholders effectively. • Collaboration: Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to identify opportunities and address business challenges. • Research and Innovation: Stay up-to-date with the latest trends and techniques in data science and contribute to the development of innovative solutions. • Model Deployment: Assist in the deployment of machine learning models into production environments. • Documentation: Maintain comprehensive documentation of projects, models, and code for knowledge sharing and reproducibility. Requirements: • Masters or Ph.D. in Data Science, Computer Science, Statistics, or a related field. • Proven experience (5-8 years) working in data science, machine learning, or Al, BOSS直聘with a track record of delivering impactful projects. • Proficiency in programming languages such as Python, as well as relevant da直聘ta science libraries (e.g., scikit-learn, TensorFlow, PyTorch). • Experience with generative Al models and techniques (e.g., LLMs, GANs) for content gen来自BOSS直聘eration. • Expertise in prompt engineering for fine-tuning |anguage models like GP1-3.5 or similar models. • Sbosstrong knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques. • Exceptinal problem-solving skills and the ability to work independently and as part of a team. • Excellent communication skills, including the ability to convey complex technical concepts to non-technical stakeholders. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in an d work when you are the most productive

技能解析

专有技能
  • 开发和优化
  • 产品开发
  • 产品开发经验
  • 解决问题的能力
  • 解决问题
  • 编程能力
  • 机器学习
  • 优秀的分析
  • 分析问题
  • 分析问题和解决问题的能力
  • 自然语言
  • 开发经验
  • 研发经验
  • 搜索引擎
  • 开发环境
  • 数据挖掘

    数据来自CSL职业科学研究室

    技能解析

      暂无识别出相关技能要求

      公司福利

      • 五险一金
      • 补充医疗保险
      • 定期体检
      • 年终奖
      • 带薪年假
      • 交通补助
      • 节日福利
      • 零食下午茶

      备注

      职位发布者未明确表明公司信息,具体可咨询职位发布人进行确认。

      更新于 2025-05-13