Data Scientist

Details

At SentinelOne, we’re redefining cybersecurity by leveraging AI-powered, data-driven innovation to stay ahead of tomorrow’s threats. We value collaboration, high-quality work, and a passion for solving complex problems. This role focuses on building high-quality datasets that power cybersecurity-focused AI: collecting, cleaning, labeling, and maintaining data that enable detection, summarization, and defender workflows.

Responsibilities

• Build and maintain datasets used for training, fine-tuning, and prompting AI models for cybersecurity applications.
• Explore and curate structured and unstructured security data (logs, malware, alerts, incidents) to improve model relevance and effectiveness.
• Develop pipelines for data collection, cleaning, labeling, and versioning.
• Collaborate with researchers and engineers to define data requirements and ensure alignment with cybersecurity problems.
• Contribute to evaluation design and automation to ensure continuous improvement of AI systems.
• Drive data quality and coverage for use cases such as summarization, classification, detection, and reasoning over security context.

Requirements

• 5+ years of experience working with data in applied AI or ML systems, ideally in security or similarly complex domains.
• Strong Python skills and experience with common data tools (pandas, numpy, PySpark).
• Experience curating and maintaining large, evolving datasets for training and evaluation.
• Familiarity with data labeling strategies, data versioning, and pipeline automation.
• Ability to explore and analyze messy data from real-world systems.
• Experience with LLMs or generative AI models and understanding of their data dependencies.
• Working knowledge of cybersecurity concepts, threat types, telemetry sources, or detection workflows.

Bonus

• Hands-on experience with cybersecurity data (EDR, SIEM, IDS/IPS, threat intel, malware, etc.).
• Familiarity with open-source evaluation tools (HELM, lm-eval, BIG-bench, etc.).
• Experience with MLOps stacks (Airflow, MLFlow, Weights & Biases).
• Infrastructure skills: cloud platforms, Kubernetes, data pipelines, Infrastructure as Code (IaC).
• A passion for building tools that make security professionals more effective.

Benefits

• Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA
• Unlimited PTO
• Industry-leading gender-neutral parental leave
• Paid Company Holidays and Sick Time
• Employee stock purchase program
• Disability and life insurance
• Employee assistance program
• Gym membership reimbursement
• Cell phone reimbursement
• Numerous company-sponsored events, including regular happy hours and team-building events

Compensation

This U.S. role has a base pay range that will vary based on the location of the candidate. Base Salary Range: $147,200—$234,600 USD. For some locations a different pay range may apply; if so, it will be provided during the recruiting process.

Equal Opportunity & Compliance

SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. SentinelOne participates in the E-Verify Program for all U.S. based roles.