Job Description

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Job Title: Data Scientist _ Cyber AI Specialist



Cyber Security is seeking a Data Scientist to join the Cyber AI team. This position will use machine learning, data engineering, automation, and Data Science principles to solve enterprise problems and advance our mission. This role is a key contributor to our practice and will be directly responsible for design, development, deployment, and automation including collecting and analyzing data sets to identify patterns and develop predictive algorithmic models. The successful candidate will work closely with key stakeholders to rapidly advance the use of predictive and prescriptive analytics for cybersecurity as well as help the Cyber team with automation efforts. We are seeking candidates with passion to lead the implementation of cutting-edge technology and methodologies while establishing strong partnerships with data owners and stakeholders across Cyber Security. The Data Scientist will have demonstrated experience as a problem-solver, working alongside IT and business partners, and act as a trusted consultant.

Responsibilities

• Ability to create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making.
• Thorough understanding of linear algebra, probability, and statistics to comprehend and use AI models such as Naive Bayes, Gaussian mixture models, and linear discriminant analysis.
• Knowledge to build a variety of AI applications, including language translation, visual recognition or perception, and targeted advertising based on sentiment analysis.
• Develop scalable algorithms capable of learning, analyzing and predicting future events.
• Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners.
• Ability to skillfully enumerate a business problem, quantify its impact, size relevant data, and document applicable sources.
• Devise, develop and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques.
• Able to work proactively and take initiative without being specifically directed.
• Ability to perform in depth data analysis including but not limited to:
+ Machine Learning
+ Classification
+ Optimization
+ Time Series analysis
+ Pattern Recognition
• Establish and develop end-to-end automated processes (i.e.: data analyses, model development & implementation, manual processes, etc.)
• Ability to communicate complex topics in an easy-to-understand manner when presenting to management.
• Ability to visualize data and intelligence in easy-to-understand story telling.

QUALIFICATIONS:

Required Skills

• 3+ years with relational databases (ex. Oracle, Teradata, SQL Server, etc.)
• 3+ years working with languages Python and SQL
• 3+ years applying statistics in data analyses (ex. regression modeling, econometrics, classification labeling, recommendation, parametric/non-parametric modeling, etc.)
• 2 or more years' experience presenting and delivering results to business partners and leadership.
• 2 or more years' experience in Cyber Security domain knowledge.
• NodeJS: Node.js works great in real-time web apps that employ push technology over WebSocket. Node's real-time, two-way connections--where the client and server can each initiate communication--enable the freer exchange of data.
• NestJS: The backend framework developed in NestJS gives a structure development approach to build an efficient and scalable architecture.
• WebRTC: WebRTC enables Web applications and sites to capture and optionally stream audio and/or video media, as well as to exchange arbitrary data between browsers without requiring an intermediary.

Preferred

• Certifications in data science, deep learning, and ML
• Blender: Blender is an open-source 3D computer graphics software tool set used for creating animated films, visual effects, art, 3D-printed models, motion graphics, interactive 3D applications, virtual reality, and, formerly, video games.
• Unity: Unity is a popular game engine that can be used for VR and AR development.
• Exposure to Generative AI and NLP
• 2 or more years' experience with developing Robotic Process Automation and/or automation efforts.
• 2 or more years using AWS cloud services.
• 2 or more years skilled at data visualization (PowerPoint, Tableau, D3, ggplot, matlib, seaborn, etc.)
• 2 or more years with modern data engineering with APIs
• 2 or more years' experience in Cyber Security domain knowledge.
• M.S. or PhD in a Science, Technology, Engineering, Mathematics (STEM) or Economics related field of study.
• 2 or more years applying agile SDLC.

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