Cohesity
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Senior Data Scientist
role at
Cohesity .
Cohesity is a leader in AI‑powered data security and management, providing secure, modern data protection across the data center, edge, and cloud. With a strong emphasis on innovation, Cohesity defends against cybersecurity threats through immutable backups, AI‑based threat detection, and rapid recovery at scale.
As a Senior Data Scientist, you will develop and deploy advanced analytics and machine learning models to enhance our data protection capabilities, optimize system performance, and deliver insights into security threats and data trends.
Responsibilities
Design, build, deploy, and maintain robust machine learning pipelines for data protection (e.g., anomaly detection, threat prediction, data classification, behavioral analytics).
Develop and implement advanced algorithms to analyze vast datasets, identify patterns, and extract actionable insights.
Collaborate closely with engineering and product management to develop proof‑of‑concept implementations that shape future product features.
Stay abreast of relevant conference publications, competitive analyses, and best industry practices, extracting key insights and informing team strategies.
Communicate complex analytical findings and recommendations clearly and concisely to technical and non‑technical stakeholders.
Qualifications
Master’s degree in computer science or a doctorate in a STEM discipline (Mathematics, Statistics, Physics, Engineering).
Solid understanding of the statistical and mathematical foundations of machine learning algorithms and ability to translate them into real‑world solutions.
Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making.
Proficiency in at least one programming language used for ML (Python or Java).
Experience with common ML libraries (Scikit‑learn, Pandas, PyTorch, Matplotlib, etc.).
Experience building ML pipelines on cloud platforms (AWS, Azure, GCP).
Strong problem‑solving skills and ability to work independently as well as part of a collaborative team.
Experience publishing research in STEM fields and presenting at relevant events.
Familiarity with Big Data technologies (Spark, Hadoop) is a plus but not required.
Compensation & Benefits Pay Range: $169,600.00 – $212,000.00
Full‑time employees are eligible for comprehensive benefits including health and wellness benefits, vacation, paid holidays, 401(k) retirement plan, life and disability insurance, and other benefits. Bonus and equity may also be offered.
Equal Employment Opportunity 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, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law. If you require a reasonable accommodation, please contact 1‑855‑9COHESITY or talent@cohesity.com.
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Senior Data Scientist
role at
Cohesity .
Cohesity is a leader in AI‑powered data security and management, providing secure, modern data protection across the data center, edge, and cloud. With a strong emphasis on innovation, Cohesity defends against cybersecurity threats through immutable backups, AI‑based threat detection, and rapid recovery at scale.
As a Senior Data Scientist, you will develop and deploy advanced analytics and machine learning models to enhance our data protection capabilities, optimize system performance, and deliver insights into security threats and data trends.
Responsibilities
Design, build, deploy, and maintain robust machine learning pipelines for data protection (e.g., anomaly detection, threat prediction, data classification, behavioral analytics).
Develop and implement advanced algorithms to analyze vast datasets, identify patterns, and extract actionable insights.
Collaborate closely with engineering and product management to develop proof‑of‑concept implementations that shape future product features.
Stay abreast of relevant conference publications, competitive analyses, and best industry practices, extracting key insights and informing team strategies.
Communicate complex analytical findings and recommendations clearly and concisely to technical and non‑technical stakeholders.
Qualifications
Master’s degree in computer science or a doctorate in a STEM discipline (Mathematics, Statistics, Physics, Engineering).
Solid understanding of the statistical and mathematical foundations of machine learning algorithms and ability to translate them into real‑world solutions.
Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making.
Proficiency in at least one programming language used for ML (Python or Java).
Experience with common ML libraries (Scikit‑learn, Pandas, PyTorch, Matplotlib, etc.).
Experience building ML pipelines on cloud platforms (AWS, Azure, GCP).
Strong problem‑solving skills and ability to work independently as well as part of a collaborative team.
Experience publishing research in STEM fields and presenting at relevant events.
Familiarity with Big Data technologies (Spark, Hadoop) is a plus but not required.
Compensation & Benefits Pay Range: $169,600.00 – $212,000.00
Full‑time employees are eligible for comprehensive benefits including health and wellness benefits, vacation, paid holidays, 401(k) retirement plan, life and disability insurance, and other benefits. Bonus and equity may also be offered.
Equal Employment Opportunity 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, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law. If you require a reasonable accommodation, please contact 1‑855‑9COHESITY or talent@cohesity.com.
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