<p>Interested candidates based outside of the designated areas are welcome to apply, provided they have the indefinite right to work in the job location.</p> <p>Cohesity is a leader in AI-powered data security and management. Aided by an extensive ecosystem of partners, Cohesity makes it easy to secure, protect, manage, and get value from data - across the data center, edge, and cloud. Cohesity helps organizations defend against cybersecurity threats with comprehensive data security and management capabilities, including immutable backup snapshots, AI-based threat detection, monitoring for malicious behavior, and rapid recovery at scale.</p> <p>We've been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design.</p> <p>Join us on our mission to shape the future of our industry.</p> <p>WANT TO HELP US SIMPLIFY THE WORLD OF DATA MANAGEMENT?</p> <p>Cohesity is seeking a highly skilled and motivated Data Scientist with experience in Security & Data Protection to join our growing team. In this role, you will bridge the gap between academic research and industrial application, developing and deploying advanced ML models to enhance our data protection capabilities and provide deeper insights into cybersecurity threats and ransomware behaviors.</p> <p>How you'll spend your time here:</p> <ul> <li> <p>Ransomware & Anomaly Detection: Research and implement high-precision models (e.g., Gradient Boosting, LSTMs) to detect early indicators of ransomware, such as high-entropy file changes and unauthorized encryption patterns within backup telemetry.</p> </li><li> <p>Automated Data Classification: Apply NLP and Pattern Recognition to automatically identify and categorize sensitive data (PII, PHI, PCI) at scale, ensuring compliance across petabytes of enterprise data.</p> </li><li> <p>Proactive Threat Hunting: Develop behavioral analytics to identify "low and slow" data exfiltration or compromised account activity by establishing robust baselines of "normal" system behavior.</p> </li><li> <p>Production Pipelines: Design and maintain end-to-end ML pipelines on cloud platforms (AWS/Azure/GCP) that turn theoretical models into reliable, real-world security features.</p> </li><li> <p>Adversarial Research: Stay abreast of MITRE ATT&CK frameworks and peer-reviewed security research to ensure models remain resilient against modern evasion techniques.</p> </li><li> <p>Stakeholder Communication: Translate complex analytical findings into actionable recommendations for both technical engineers and executive leadership.</p> </li></ul> <p>We would love to talk to you if you have many of the following:</p> <ul> <li> <p>Advanced Degree: Master's or PhD in a STEM discipline (Computer Science, Math, Physics, or Engineering) with a focus on Applied ML or Statistics.</p> </li><li> <p>Security Domain Knowledge: Practical understanding of file system metadata, encryption entropy, or network security logs.</p> </li><li> <p>Statistical Foundation: Deep knowledge of ML algorithms and the ability to handle highly imbalanced security datasets where "threats" are the rare needles in the haystack.</p> </li><li> <p>Software Engineering: Proficiency in Python (Scikit-learn, PyTorch, Pandas) and experience building production-grade ML pipelines.</p> </li><li> <p>Research & Publication: A track record of publishing research or presenting at technical conferences, combined with the ability to translate those insights into shippable product features.</p> </li><li> <p>Big Data Tech: Familiarity with Spark, Snowflake, or Hadoop to process and analyze massive datasets efficiently.</p> </li><li> <p>Bias for Action: A "thinking out of the box" mindset with a focus on solving complex problems in a fast-paced industrial environment.</p> </li></ul> <p>#L1-LM1</p> <p>Disclosure Pursuant to Applicable State Equal Pay Transparency Laws - This position has a starting pay range as listed below. Actual salary depends upon many factors, including a candidate's skills, qualifications and experience, location, and salary expectations, and therefore a starting salary at the low end, high end, or even above the stated range may be offered. This position may also be eligible for bonus compensation, commission (if in a sales function), and/or equity grants. Additionally, full-time employees are eligible to participate in our comprehensive benefits framework, including health and wellness benefits, vacation, paid holidays and refresh days, 401(k) retirement plan, life and disability insurance coverages, and other benefits the Company may offer from time to time.</p> <p>Pay Range :</p> <p>$179,056.00-$198,951.03</p> <p>The compensation noted above is based on an annualized hourly rate assuming normal full-time employment.</p> <p>Data Privacy Notice for Job Candidates:</p> <p>For information on personal data processing, please see our Privacy Policy.</p> <p>Equal Employment Opportunity Employer (EEOE)</p> <p>Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.</p> <p>If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 1-855-9COHESITY or recruiting@cohesity.com for assistance.</p> <p>In-Office Expectations</p> <p>Cohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of our core offices 2-3 days a week of their choosing.</p> <p>Interested candidates based outside of the designated areas are welcome to apply, provided they have the right to work in the job location.</p>