Security Data Scientist (Threat intelligence & Python)

Job Description

We are looking for a highly energetic Data Scientist who can combine technical acumen of network security engineering with strong analytical skills. The team is playing a crucial part in leading breakthrough security capabilities to the thousands of Cisco’s current and future customers worldwide. Today, we handle more than 80 billion daily Internet requests from 65 million+ users around the world. Though we take phenomenal pride in being market leaders in threat security for long time, we are constantly innovating and improving our solutions to address the ever-changing threat landscape and changing data security paradigms so that our customer networks are always secured. We take our customers trust in us very seriously and go all the way to ensure we protect their data all times. Our team works on leading Network Intrusion Detection & Prevention System solutions that are all-star, scalable and easily manageable. Our network security portfolio and cloud delivered services cover a wide spectrum of security solutions spanning - Firepower Threat Defense, Snort, Encrypted Visibility Engine. Working at Cisco Network Security means being surrounded by passionate, intelligent and creative people that are determined to disrupt the Internet security industry with creative ideas, world-class research and unrivalled products and services. It’s a place where the best ideas are quickly transformed into products, features, campaigns and company-wide practices, so it won’t be long before you witness the results of your hard work. Your Impact As a Security Data Scientist on the Threat team, you will be responsible for developing data-driven solutions using innovative sophisticated analytics techniques. Analyze and correlate complex data from various sources. Perform exploratory data analysis to gain deeper understanding of the data. Work with stakeholders, including domain experts and product, to understand use cases and domain-specific problems and find opportunities for applying machine learning to drive outcomes. Develop tools and algorithms for generating synthetic data sets. Define KPI's to measure model performance. Develop and test statistical and machine learning models for efficacy and operational impact. Write production quality code and work with other software engineering teams to deploy models into production. Support deployed models as a domain expert. Be creative and engineer novel features and methods to push beyond our current capabilities. Minimum Qualification Structure large, sophisticated data sets to find usable information, solve difficulties, and analyze problems with advanced analytical or statistical methods Demonstrated ability in a threat intelligence, threat hunting (Tier 2 and above) or related security analyst role with Min 7+Years. Proficient in Cybersecurity fundamentals Prior experience in data analysis in Cybersecurity domain General data analysis tools (PySpark/Pandas/NumPy), data visualization and any one of the languages Python (preferably), C/C++