Principal Security Data Scientist at Adobe

Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Security Data Analytics team at Adobe is on the mission to design, develop, and deploy AI solutions to help make Adobe products and services secure. Data generated by the SaaS products are rich and diverse and driving insight from them is a very exciting and challenging task. The Data Scientist at Adobe is setting a data science foundation for our fast-growing data team, to enable the company to tackle engineering and security challenges by designing analytics and AI solutions. This opportunity involves defining the path to discover trends, patterns, and hidden cyber-attacks from system and sub-system level communication and protocols.
Role
Work on innovative large-scale data analytics and machine learning projects Drive predictive analytics from billions of log data Help define the analytical direction and influence the direction of the Engineering teams. 
Use mathematical techniques to arrive at an answer using data. Translate analysis results into business recommendations. Partner with Cybersecurity teams on projects to identify and articulate opportunities and see beyond the data to identify solutions that will set the standard for decision making. Extract actionable insights from broad, open-ended questions Adapt machine learning and data mining algorithms to solve problems across several security teams Use quantitative analysis and the presentation of data to see beyond the numbers and understand what can improve our processes. 
Engage broadly with the organization to identify, prioritize, frame, and structure complex and ambiguous security-related challenges, where advanced analytics projects or tools can have the biggest impact. 
Qualifications
Advanced degree in Computer Science, Mechanical engineering, Statistics, or related STEM field. 5+ years of Data or Machine Learning experience working on highly complex problems in a dynamic setting Strong programming skills, especially in Python, Scala, or R with 3+ years of relevant experience in a programming intensive role. 
Experience with security information and event management (SIEM) systems and concepts like denial-of-service (DoS) or distributed denial-of-service (DDoS) attacks. Technical expertise and in-depth knowledge in one or more of the following Data Science topics: Anomaly detection and signal processing, time-series data analysis, and modeling, Conventional Machine Learning methods, Deep learning and CNNs, text mining, sentiment analysis, information retrieval, etc. Proficiency with a deep learning framework such as TensorFlow, Keras, Pytorch, Caffe, MXNet, etc. Proven track record of developing and deploying algorithms for production-ready anomaly detection, or prediction systems using languages and big data platforms such as Python, Scala, or Java. Excellent communication and presentation skills. 
Nice to Haves
Proven experience in Cybersecurity is a huge plus
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
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