出海雷达

具有NLP经验的高级数据科学家

Senior Data Scientist with NLP

AI开发工程限定地区(需当地身份)
公司Deutsche Telekom
薪资未公开
工作地点Romania
地域资格限定地区(需当地身份)
时区要求日间重叠约 3 小时,需偶尔早起或晚睡
用工类型Full Time
发布时间12 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 Romania 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

关键职责

  • 你将应用深度学习方法,如(双)LSTM 和基于 transformer 的模型,用于我们的 NLP 产品,服务于 Deutsche Telekom 集团的内部客户
  • 你将准备训练和评估流程,并应用最前沿的机器学习方法来改进财务(控制、资金、会计)、采购、人力资源等领域的流程
  • 你将参与设计和实现创新神经网络应用的原型,使用 Python
  • 你将与业务方合作,包括积极参与客户研讨会、会议和电话会议,因此能够向业务同事解释技术点是这份工作的关键部分,同时需要具备顾问思维
  • 你将参与团队头脑风暴会议、代码审查和结对编程
  • 根据使用场景,你将有机会使用各种工具和技术,如 SAP、Scikit-learn、Keras、Spacy、Docker、Kubernetes、Flask 或 Tesseract 以及 BI 看板工具如 MicroStrategy、Qlik、Tableau 等,了解这些工具会有帮助
  • 你将有机会识别自动化和数据科学的潜在应用场景,欢迎提出创新想法

能力要求

  • 语言:英语书面和口语流利,德语能力为加分项
  • IT 相关教育背景有益
  • 有超过 4 年的数据科学项目经验,最好是文本数据和相关语言模型方面
  • 有使用 LLM / 生成模型的经验者优先
  • 你擅长 Python 编程,并能自信地使用 API
  • 我们使用 Jupyter Notebook 和其他 IDE。使用这些工具的经验非常受欢迎,但不是必须的
  • 你了解并愿意应用敏捷方法(Scrum、XP、Kanban 等)
  • 当某些内容不清楚或你觉得某些流程效率不高时,你不害怕提问或指出
  • 你是善于分析的人,有结构化思维,学习能力强,工作系统性强
  • 你能快速开发出可行的解决方案,并能高效完成任务

人际技能

  • 对客户服务的主动性至关重要
  • 能灵活应对变化的工作模式和需求
  • 工作细致且有条理
  • 高超的人际沟通技巧
  • 知识共享——积极贡献者

福利

  • 有激励性的薪酬包
查看英文原文

Key Responsibilities

  • You will be applying Deep learning approaches like (Bi-)LSTM and transformer based models on our NLP products for internal customers of the Deutsche Telekom group
  • You will prepare training & evaluation pipelines and apply state of the art Machine Learning approaches to improve processes in Finance (Controlling, Treasury, Accounting), Procurement, HR, and others
  • You will contribute in designing & implementing prototypes of innovative NN applications in Python
  • You will cooperate with the business side including your active contribution in customer workshops, meetings, and calls so the ability to explain technical points to business colleagues is a crucial part of this job, as is a consultant’s mindset
  • You will participate in team brainstorming sessions, code reviews, and pair programming sessions
  • Depending on the use case, you will have the opportunity to work with a variety of tools and technologies like SAP, Scikit-learn, Keras, Spacy, Docker, Kubernetes, Flask or Tesseract and BI dashboarding tools like MicroStrategy, Qlik, Tableau, … knowledge of these is helpful
  • You will have the chance to identify possible use cases for automation and data science, innovative ideas are welcome

Competence Profile

  • Language: Fluent written and spoken English, German skills would be an advantage
  • Education in the IT field would be beneficial
  • More than 4 years working experience with Data Science projects, preferably with text data and related language models
  • Preferably you have experience in working with LLMs / generative models
  • You are good at programming in Python and are confident of working with APIs.
  • We work with Jupyter Notebook and other IDEs. Experience with these tools is more than welcome but not necessary
  • You are aware of and willing to apply Agile methodology (Scrum, XP, Kanban, etc.)
  • You are not afraid to ask questions when something is not clear or point out when something seems inefficient to you
  • You are an analytical thinker, have an affinity for structure, grasp things fast and work systematically
  • You can develop working solutions quickly and you get things done

Interpersonal Skills

  • Proactivity towards customer service is essential.
  • Flexible and responsive to changing work patterns and demands
  • A thorough and methodical approach to work
  • Highly developed skills in interpersonal communication
  • Knowledge sharing – active contributor.

Benefits

  • Motivational financial package
  • Meal tickets
  • Medical insurance
  • Opportunities to grow and develop in a start-up environment
  • Dynamic and multicultural working environment
  • Great training opportunities

DTSE-RO is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decision at DTSE-RO are based on business needs, job requirements and individual qualifications, with no regard to race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, sexual orientation and gender identity.
DTSE-RO will not tolerate discrimination or harassment based on any of these characteristics.
By applying for this job you accept the DT privacy statement:
To process your online application we collect, process and use your personal data. We will treat your data as strictly confidential in accordance statutory provisions.
By submitting your application, you consent to your data being processed electronically, including by third parties. Data is only passed on to HR service providers that have been carefully selected by Deutsche Telekom AG.
For detailed information read the local data protection when applying for a job position at Deutsche Telekom Group.
Originally posted on Himalayas

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