Expert Data Scientist – Cyber Security 726 views

At Nike, we serve athletes. Fueled by the insights of the world’s best, we design and create products to elevate human potential on a global scale. And it’s on us, the Global Operations Team (GOT), to help bring this mission to life.

We are a diverse lineup of thousands spread across the globe. Together, we are building a smarter, more connected and automated value chain. And we are looking for world-class talent like you to contribute to this journey.

As an Artificial Intelligence Reinforcement Learning Data Scientist, your role in Corporate Information Security (CIS) Cyber Threat Analytics (CTA) team is to improve Nike’s Cyber Defense by leveraging your knowledge of data science, semantic and cognitive reasoning, neural networks, data mining, and industry best practices to develop detection methods. Your responsibilities will include:

• Collaborate with data scientists and stakeholders to explore opportunities to develop data-driven solutions by developing and utilizing statistical modeling and machine learning algorithms
• Translate ambiguous statements into structured problem statements and testable hypotheses
• Analyze and profile available, reliable, and relevant data (internal and external) to uncover insights in support of scalable solutions
• Clean, prepare and verify the integrity of data for analysis
• Validate appropriate models to discover meaningful patterns and insights
• Track model accuracy, ensuring model relevance and reliability
• Create clear and structured deliverables to communicate meaningful insights and prescribe actionable data driven business solution recommendations
• Build trust and drive business adoption by demystifying solution intricacies for stakeholders
• Create clear, user-friendly documentation to support business usage of the solution
• Collaborate with a team of data scientists, solutions delivery managers, engineers, and business stakeholders to take an opportunity or pain point from concept to scaled solution
• Stay abreast of and apply industry and technology trends as well as emerging tools and techniques relevant to discipline
• Participate in a continuous learning environment within the advanced analytics community through persistent development of new skills and sharing of knowledge through mentorships and contributions to the open source community

Required Skills

To make it clear, we’re not looking for just anyone. We’re looking for someone special, someone who had these experiences and clearly demonstrated these skills:

• In-depth background in mathematics, statistics, or a related field
• In-depth knowledge of applied data science
• In-depth knowledge of machine learning algorithms and data science methods
• In-depth data wrangling experience with structured and unstructured data
• Experience with various programming and scripting languages
• Experience with databases, processing, and storage frameworks
• Experience with various hyperparameter tuning approaches
• Strong knowledge of CRISP-DM and Agile data science framework
• Strong knowledge of information security principles and practice.