openqareer

Research Engineer / Data Scientist

Lancope · Удалённо · United States

# Research Engineer / Data Scientist **Lancope** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Scientist]` `[Research-Engineer]` `[Machine-Learning-Engineer]` `[Security-Researcher]` `[Machine-Learning-Research-Engineer]` `[ML-Research-Engineer]` `[AI-ML-Research-Engineer]` `[AI-Research-Engineer]` `[ML-AI-Research-Engineer]` `[Research-Data-Scientist]` `[Senior-Research-Engineer]` `[Research-Software-Engineer]` `[Senior-AI-Research-Engineer]` `[Data-Science]` --- ### About the Role 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

Наблюдалась 2026-09-28, впервые 2026-09-28, источник — Himalayas (JSON API).

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