Deloitte's Cyber Defense & Resilience (D&R) Security Operations team is looking to solve the problem of traditional security programs being unsuccessful in unifying the need to both secure and support technology innovation required by the business. They aim to bring a mix of capability and capacity across security data modernization, data ops, AI, and ML, and the use of these disciplines towards cyber specific solutioning.
Requirements
- 2+ years of relevant Analytics consulting or industry experience
- 2+ Experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (Langchain, CrewAI, etc.)
- 2+ years experience in statistical analysis, machine learning, and data mining techniques.
- 2+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data as part of exploratory analysis, generate features, and other similar data science driven data handling
- 2+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.)
- 1+ years of experience with SOC threat hunting and incident response
- Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy
Responsibilities
- Design and modernize large scale cyber data and analytics programs that promote organizational intelligence, provide embedded capacity, and implement as-a-service based subscription models at scale
- Harness the potential of bleeding edge cyber big data and AI technologies such as Databricks for Cyber, AWS Security Lake, Google Sec Ops and the latest from traditional security providers like Splunk, Crowdstrike, Palo Alto and others.
- Enable day-to-day operations, maintenance and ongoing enhancements of their data platforms and applications as well as managing and governing the underlying data leveraging standardized, automated and AI enabled Data Ops capabilities
- Mature their AI and Analytics journey with fluid capacity and flexible capability of AI and Analytics experts complemented with experience hardened assets and curated data sets to experiment with AI and scale their AI and Analytics ambition.
- Experience architecting, designing, developing and deploying enterprise data science solutions which include components across the Artificial Intelligence spectrum such as NLP, Chatbots, Virtual Assistants, Computer Vision, and Cognitive Services as well the use of big data tools for the management of massive datasets.
- Experience parsing and normalizing cyber or IT specific telemetry datasets
- Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) frameworks to process end to end data management life cycle
Other
- Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available.
- Ability to work independently and manage multiple task assignments.
- Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
- Bachelor's Degree in Engineering, Mathematics, Empirical Statistics or 4 years equivalent professional experience
