Research Engineer – Data Scientist

🕒 March 28

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Logo of Cisco

Cisco

10,000+ employees

Founded 1984

🔒 Cybersecurity

📡 Telecommunications

🏢 Enterprise

💰 $2.5M Series A on 1987-01

Cybersecurity • Telecommunications • Enterprise

Cisco is a leading technology company that provides products and services related to networking, cybersecurity, and communication technologies. The company is known for its wide range of solutions that include secure email gateway systems, URL filtering, and comprehensive network security measures. Cisco's offerings are designed to protect businesses from web-based threats, improve communication, and enforce corporate compliance and acceptable use policies. With a strong focus on innovation and security, Cisco caters to the needs of enterprises across various sectors worldwide.

📋 Description

• 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

🎯 Requirements

• 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. • 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

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