研究工程师 / 数据科学家
Research Engineer / Data Scientist
Research Engineering / Data Scientist
Lancope’s Office of the CTO 寻找一位具有创新精神的 Research Engineer / Data Scientist，以开发将大数据应用于网络安全部门的新技术。这是一个加入快速发展的团队、在应用统计学、图分析和机器学习方面发明并应用新技术的绝佳机会，用于遥测分析、数据挖掘和威胁检测。
主要职责
- 进行文献综述，了解应用统计学、机器学习和大数据领域的最新技术
- 发明和/或应用新技术，对遥测数据进行分析以识别新的安全威胁
- 开发并记录原型验证（POC），以展示新技术的有效性、性能和可扩展性
- 发布和展示研究成果，包括方法和测量到的有效性提升
- 与威胁研究和工程团队合作，将成功的 POC 转化为产品功能和可操作的情报
关键素质
- 具备从发明、原型验证到工程实现和部署的创新能力，并愿意主导创新想法
- 带来丰富的经验、动力和组织能力，对威胁检测产生影响
- 强烈的好奇心，能够推动实际工作完成应用研究的所有阶段
我们寻找的候选人应具备：
- 使用解释型语言（如 Python）和 JVM 语言（如 Java 或 Scala）进行数据处理的经验
- 在 Hadoop 生态系统中有丰富的实践经验，HBase 和 Spark 是加分项
- 在分布式图数据库（如 Titan）上有实际操作经验
- 有将研究想法转化为可操作设计和 POC 的经验
- 适应在开放、动态的应用研究团队中工作，多个正在进行的项目和开放协作是常态
- 具备良好的口头、书面、分析和说服能力，能够与技术人员和非技术人员有效沟通
- 熟悉应用统计学或机器学习
- 在数据挖掘和处理大型、多样化、未过滤的数据集方面有经验者优先
- 相关领域的高级学位（博士优先）或同等直接经验
查看英文原文
Research Engineering / Data Scientist
Lancope’s Office of the CTO seeks an innovative Research Engineer / Data Scientist to develop new techniques in applying big data to network security. This is an exciting opportunity to join a growing team to invent and apply techniques in applied statistics, graph analysis, and machine learning toward telemetry analysis, data mining and threat detection.
Main Responsibilities
- Conduct literature reviews and keep abreast of current techniques in applied statistics, machine learning, and big data
- Invent and/or apply new techniques to telemetry data to identify new security threats.
- Develop and document proofs-of-concept (POCs) to demonstrate the efficacy, performance, and scalability of new techniques
- Publish and present research findings, including methodology and measured efficacy improvements
- Partner with threat-research and engineering teams to turn successful POCs into product features and actionable intelligence
Key Attributes
- Experience and desire to own innovative ideas from inventions, through proof-of-concept, to engineering and deployment
- Brings considerable experience, motivation and organization to make an impact on threat detection
- Intense curiosity to drive hands-on work to complete all phases of applied research
We are looking for candidates that have:
- Experience in data manipulate using interpreted language (e.g. Python) and JVM language (e.g. Java or Scala)
- Extensive hands-on experience with Hadoop ecosystem. HBase and Spark highly desirable.
- Hands-on experience with distributed graph databases (e.g. Titan)
- Experience turning research ideas into actionable designs and POCs
- Comfortable working in an open, dynamic, applied-research team where multiple on-going projects and open collaboration are the norm
- Strong verbal, written, analytical, and persuasive skills. Able to communicate effectively with both technical and non-technical colleagues.
- Facility with applied statics or machine learning
- Experience in data mining and working with large, diverse, unfiltered data sets highly desirable.
- Advance degree in relevant field (PhD preferred) or commensurate direct experience
Originally posted on Himalayas