As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily.

Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation.

We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. The future of cybersecurity starts with you.

CrowdStrike is seeking an exceptional Senior Data Scientist to join our NGSIEM Agentic AI team. In this role, you will design, build and deploy advanced AI systems that analyze and prioritize millions of security events per second, enabling organizations to rapidly identify and respond to emerging threats. As a key contributor, you will take ownership of complex technical challenges, drive innovation across the AI stack, and help shape the next generation of AI-powered security operations.

AI, Search & Retrieval Strategy Lead the architecture and technical strategy for large-scale retrieval, ranking, vector search, RAG, and anomaly detection systems operating at enterprise scale. Drive innovation across LLMs, AI-powered discovery, personalization, and autonomous AI workflows. Define the future direction of AI-driven reasoning, ranking and investigation capabilities across the platform.

AI/ML Architecture & Technical Leadership Own end-to-end AI/ML architecture, including data pipelines, feature engineering, model development, deployment, monitoring, evaluation, and continuous improvement. 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 when making architectural decisions.

Partner closely with Product, Engineering, Security, Infrastructure, and Operations teams to identify high-value opportunities and deliver scalable AI solutions. Communicate technical trade-offs, recommendations, and results clearly to both technical and executive audiences.

Technical Leadership





Lead highly ambiguous, multi-quarter initiatives spanning 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 technical and product initiatives.

Mentor junior scientists while fostering a culture of technical excellence and innovation. 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. ~ Proven track record of delivering measurable business impact through AI and machine learning innovation. ~ Ability to influence executive stakeholders and drive strategic technical decisions across large organizations. ~ 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. ~ Experience with contemporary 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. Python, Go, SQL, Spark, Kafka, S3, Iceberg, Parquet Machine Learning, Deep/Reinforcement Learning, Time-Series Modeling, Anomaly Detection, Recommendation Systems, Ranking Systems LLMs, RAG, Agentic AI, Multi-Agent Systems, AI Evaluation Kubernetes, Distributed Systems, Model Serving, Feature Stores, ML Pipelines, Experimentation Platforms, Model Monitoring Threat Detection, Security Analytics, UEBA, Detection Engineering, AI-Powered SOC Workflows Bonus Points: Published research, patents, open-source contributions, or recognized thought leadership in AI, machine learning, search, retrieval, or cybersecurity.

Experience building large-scale search, recommendation, retrieval,



or agentic AI systems serving enterprise or consumer products.

Experience leading technical strategy for AI platforms, ML infrastructure, or AI-native product initiatives. Market leader in compensation and equity awards Competitive vacation and holidays for recharge Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities We support veterans and individuals with disabilities through our affirmative action program. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy‑related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law.

We base all employment decisions—including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay‑offs, return from lay‑off, terminations and social/recreational programs—on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at [email protected] within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.

The base salary range for this position in Canada is $150,000 - $200,000 CAD per year + variable/incentive compensation + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. This is Canadian-based employment, and it is expected that all employees maintain legal entitlement to work in Canada.

Applicants selected to move forward in the hiring process are subject to background checks, including but not limited to criminal record, credit, and/or reference checks.

Bonus Points: Published research, patents, open-source contributions, or recognized thought leadership in AI, machine learning, search, retrieval, or cybersecurity.

Experience building large-scale search, recommendation, retrieval, or agentic AI systems serving enterprise or consumer products.

Experience leading technical strategy for AI platforms, ML infrastructure, or AI-native product initiatives.

📌 Sr. Data Scientist (Remote) (Halifax Regional Municipality)
🏢 Crowdstrike
📍 Halifax Regional Municipality