Senior Data Scientist
Senior Data Scientist
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$ 164000 - 205000
1 Vacancy
Job Description
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.
Weve been named a Leader by multiple analyst firms and have been globally recognized for Innovation Product Strength and Simplicity in Design.
Join us on our mission to shape the future of our industry.
Want to help us simplify the world of data management
Cohesity is seeking a highly skilled and motivated Senior Data Scientist to join our growing this role you will be instrumental in developing and deploying advanced analytics and machine learning models to enhance our data protection capabilities optimize system performance and provide deeper insights into security threats and data trends. You will work with complex datasets applying your expertise in machine learning algorithms and mathematics to solve challenging problems in the realm of enterprise data security.
We are looking for someone who is not only technically solid but also possesses a strong eagerness to learn thrives on solving complex problems by thinking out of the box and has a clear bias towards action.
HOW YOULL SPEND YOUR TIME HERE:
- Design build deploy and maintain robust machine learning pipelines for various data protection applications (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 industry best practices to extract key insights and to inform team strategies.
- Communicate complex analytical findings and recommendations clearly and concisely to Masters degree in computer science or a doctorate in a STEM discipline (e.g. Mathematics Statistics Physics Engineering).
WED LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING:
- Solid understanding of the statistical and mathematical foundations of machine learning algorithms and the ability to translate them into real-world solutions.
- Proficiency in at least one programming language used for ML (Python R or Java).
- Experience with common ML libraries (e.g. Scikit-learn Pandas PyTorch Matplotlib etc.).
- Experience with building ML pipelines on cloud platforms (e.g. AWS Azure GCP).
- Strong problem-solving skills and theability to work independently as well as part of a collaborative team.
- Demonstrated ability to leverage AI tools to enhance productivity streamline workflows and support decision making
- Experience publishing research (e.g. in peer-reviewed journals or conference proceedings) in STEM fields and presenting at relevant events.
- Familiarity with Big Data technologies (e.g. Spark Hadoop) is good to have but not a must.
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 candidates 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 ourcomprehensive 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.
Pay Range :
The compensation noted above is based on an annualized hourly rate assuming normal full-time employment.
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Equal Employment Opportunity Employer (EEOE)
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.
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 atCOHESITY or for assistance.
In-Office Expectations
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.
Interested candidates based outside of the designated areas are welcome to apply provided they have the right to work in the job location.
Required Experience:
Senior IC
Employment Type
Full-Time
