Data Science Co - op/Intern building AI applications, analytics, and automation tools for Nokia’s connectivity business. Applying Python, LLMs, RAG, and agentic workflows with engineering teams.
About the role
- Senior Data Scientist building retrieval, ranking, and agentic AI systems for CrowdStrike’s cybersecurity platform. Leading scalable ML architecture and threat-detection innovation.
Responsibilities
- Design, build, and deploy advanced AI systems that analyze and prioritize millions of security events per second
- Develop intelligent models for anomaly detection, event classification, ranking, correlation, and automated security reasoning
- Lead architecture and technical strategy for large-scale retrieval, ranking, vector search, RAG, and anomaly detection systems
- Drive innovation across LLMs, AI-powered discovery, personalization, and autonomous AI workflows
- Define the future direction of AI-driven reasoning, ranking, and investigation capabilities
- Own end-to-end AI/ML architecture, including data pipelines, feature engineering, model development, deployment, monitoring, evaluation, and continuous improvement
- Establish scalable architecture patterns, engineering standards, experimentation frameworks, and operational best practices across multiple teams
- Drive foundational investments and technical direction across AI platforms, retrieval infrastructure, model-serving systems, and ML tooling
- Balance model quality, customer experience, latency, scalability, reliability, security, and infrastructure cost
- Define evaluation methodologies, experimentation strategies, and success metrics for product, model, and business impact
- Partner with Product, Engineering, Security, Infrastructure, and Operations teams to identify opportunities and deliver scalable AI solutions
- Communicate technical trade-offs, recommendations, and results to technical and executive audiences
- Lead ambiguous, multi-quarter initiatives across Product, Engineering, Data Science, and other stakeholders
- Influence organization-wide technical strategy, investment priorities, and long-term AI roadmap decisions
- Represent the organization in executive reviews and drive alignment on major initiatives
- Mentor junior scientists and foster technical excellence and innovation
Requirements
- 8+ years of experience building and scaling large-scale AI/ML, search, retrieval, ranking in the cybersecurity space
- MS, PhD, or equivalent industry experience in Computer Science, Statistics, Physics, or a related quantitative discipline
- Deep expertise in semantic retrieval, vector search, ranking systems, recommendation systems, NLP/LLMs, RAG architectures, and agentic AI systems
- Strong understanding of retrieval and ranking trade-offs, experimentation methodologies, model evaluation, and operational excellence
- Experience operating large-scale production systems with demanding latency, scalability, reliability, and cost requirements
- Proven track record of delivering measurable business impact through AI and machine learning innovation
- Experience leading cross-functional initiatives across multiple organizations and stakeholder groups
- Ability to influence executive stakeholders and drive strategic technical decisions across large organizations
- Exceptional communication, leadership, strategic thinking, and mentoring skills
- Strong programming skills in Go, Python, SQL, and modern machine learning ecosystems
- Experience designing and deploying end-to-end ML solutions, including data acquisition, feature engineering, model development, evaluation, deployment, and monitoring
- Strong knowledge of experimentation frameworks, online evaluation, A/B testing, causal inference, and model validation methodologies
- Proficiency in Anomaly Detection, MITRE entities, Detection Engineering, Triage and Investigation
- Experience with modern AI infrastructure, large-scale data processing, distributed systems, and production ML platforms
- Ability to communicate data-driven insights, uncertainty, assumptions, and trade-offs to technical and non-technical audiences
- Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes
- Canadian-based employment requires legal entitlement to work in Canada
- Applicants selected to move forward in Canada are subject to background checks, including criminal record, credit, and/or reference checks
Benefits
- Market leader in compensation and equity awards
- Comprehensive physical and mental wellness programs
- Competitive vacation and holidays for recharge
- Paid parental and adoption leaves
- Professional development opportunities for all employees regardless of level or role
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
- Vibrant office culture with world class amenities
- Great Place to Work Certified™ across the globe
- Bonuses
- Equity grants
- Health insurance
- 401k
- Paid time off
- Variable/incentive compensation
- Benefits package
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About the job Title: Data Analytical Specialist/Scientist - Senior Duration: till Dec 2026 with likely extension Location: Toronto Domain: Government Services S