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. 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 also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. 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. Ready to join a mission that matters? The future of cybersecurity starts with you.
About the Role:
CrowdStrike is looking for a Data Analyst to join our growing Generative AI Research Center. This is a junior/entry-level position with quick advancement opportunities. As Data Analyst you will focus on data and corpus labeling, as well as other data-related tasks critical to supporting our large language models (LLMs) and cybersecurity initiatives. This role is crucial in enhancing our products capabilities by ensuring the accuracy and quality of the data used to train models and detect threats, thereby supporting the overall mission of the Generative AI Research Center.
CrowdStrike is a cybersecurity company, but we do not require candidates for this role to have prior security industry experience. We will mentor and train in security topics as needed. We do expect a strong interest in CrowdStrike's mission and a willingness to engage with the needs of our product teams and customers.
If you are a hands-on engineer who loves technical challenges and wants to operate at scale, apply & let's talk!
Interviewing process: online and onsite where applicable
What You'll Do:
Label and annotate cybersecurity-related datasets to prepare them for analysis and machine learning tasks
Ensure labeling accuracy and consistency across different datasets, including threat intelligence data, incident reports, network logs, etc.
Gather data from various cybersecurity sources, including threat intelligence feeds, logs, and internal reports
Clean and preprocess data to make it suitable for analysis and modeling
Perform exploratory data analysis to uncover patterns, trends, and insights related to cybersecurity threats and vulnerabilities
Utilize statistical methods and tools to interpret data and identify potential security issues
Create and maintain dashboards and reports to communicate findings to cybersecurity stakeholders
Develop visualizations to present data in a clear and concise manner, highlighting key security metrics and trends
Work closely with analysts, data scientists, engineers, and other team members to support their data needs
Support the implementation and optimization of MLOps pipelines, leveraging data insights to deploy, monitor and scale machine learning models for different solutions
Participate in team meetings and contribute to project planning and discussions, providing data-driven insights
Document processes, methodologies, and insights gained from data analysis and labeling activities
Maintain clear records of data sources, cleaning steps, and labeling criteria to ensure reproducibility and auditability
What You'll Need:
Bachelor's degree in Computer Science or related STEM field
Proficiency in data manipulation and analysis tools (e.g., Python, SQL)
Familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)
Experience with data labeling and annotation tools
Strong analytical and problem-solving skills, with an understanding of cybersecurity concepts
Excellent communication and collaboration abilities
Attention to detail and a commitment to data accuracy
Tech Stack (not mandatory to know everything; a robust learning capacity is essential):
Python
SQL
Data Labeling and Annotation Tools like Labelbox, Prodigy, etc.
Data Analysis and Visualization like Pandas, NumPy, Matplotlib, Seaborn, etc.
Docker
GIT
Bonus Points:
Existing exposure to Go, AWS, Cassandra, Kafka, Elasticsearch
Experience with Language Models, Data Science, Data Engineering
Experience with data labeling and annotation tools, particularly in a cybersecurity context
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Benefits of Working at CrowdStrike:
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
CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.
CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. 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.
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