Senior Applied Scientist

Cohesity

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profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: 05-11-2025
Vacancies: 1 Vacancy

Job Summary

Cohesity is the leader in AI-powered data security. Over 13600 enterprise customers including over 85 of the Fortune 100 and nearly 70% of the Global 500 rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Cohesity with Veritas enterprise data protection business the companys solutions secure and protect data on-premises in the cloud and at the edge. Backed by NVIDIA IBM HPE Cisco AWS Google Cloud and others Cohesity is headquartered in Santa Clara CA with offices around the globe.

Weve been named a Leader by multiple analyst firms and have been globally recognized for Innovation Product Strength and Simplicity in Design and
our culture.

Want to join the leader in AI-powered data security

Cohesity is looking for a Level 4 Data Scientist to spearhead advanced modeling generative AI and agentic workflows. This role combines deep expertise in statistical and machine learning methodologiesranging from causal inference and time-series forecasting to reinforcement learningwith hands-on development of transformer-based LLMs semantic search and scalable AI system architectures. Youll design production-ready features validate models through rigorous experimentation and mentor a team to execute Cohesitys AI vision.

Data Scientist Level 4 will contribute to Cohesitys efforts in NLP generative AI agentic development and advanced data science modelingdriving design validation and deployment of complex algorithms and scalable AI platforms. You will translate business objectives into robust statistical and ML solutions overseeing end-to-end experimentation model governance and performance optimization.

HOW YOULL SPEND YOUR TIME HERE:

  • Lead development of predictive and prescriptive modelsincluding deep learning reinforcement learning time-series forecasting and causal inference pipelinesensuring scientific rigor and production readiness.

  • Design and execute statistical experiments and A/B tests establishing robust validation frameworks and ensuring reproducibility.

  • Design and implement robust experimentation frameworksincluding A/B testing and causal inference methodsto evaluate AI-driven features and optimize product decisions.

  • Oversee performance profiling benchmarking and resource-efficient deployment strategies to meet strict latency and cost targets.

  • Develop and fine-tune transformer-based LLMs and orchestrate multi-agent workflows using frameworks like LangChain.

  • Architect scalable distributed AI platforms leveraging cloud/serverless technologies (AWS Lambda Azure Functions) and GraphQL APIs for real-time inference.

  • Drive performance profiling benchmarking and resource-efficient deployment strategies to meet strict latency and cost targets.

  • Partner with Product Marketing Finance and Engineering teams to build scalable data pipelines and real-time dashboards that deliver actionable insights.

  • Translate complex modeling and AI concepts into clear narratives and presentations for stakeholders across the organization.

WED LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING:

  • MS/BS in Computer Science/Computer Engineering or related field of study with 6-10 years of relevant experience.

  • Expert proficiency in Python and software engineering best practices; Golang or Java experience is a plus.

  • Hands-on with TensorFlow PyTorch and other deep learning frameworks; proven track record with transformer-based LLMs.

  • Strong coding experience in Object Oriented Programming language.

  • Deep expertise in statistical modeling machine learning algorithms and MLOps frameworks for model lifecycle management.

  • Familiarity with AI ethics governance and data privacy frameworks (e.g. EU AI Act IEEE Trustworthy AI)

  • Experience scaling AI solutions in high-growth or startup environments under tight timelines.

  • Demonstrated ability to leverage AI tools to enhance productivity streamline workflows and support decision making.

Data Privacy Notice for Job Candidates:

For information on personal data processing please see our
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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

Cohesity is the leader in AI-powered data security. Over 13600 enterprise customers including over 85 of the Fortune 100 and nearly 70% of the Global 500 rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Co...
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Key Skills

  • Laboratory Experience
  • Mammalian Cell Culture
  • Biochemistry
  • Assays
  • Protein Purification
  • Research Experience
  • Next Generation Sequencing
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Flow Cytometry

About Company

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Cohesity gives you both data security and data management. Defend against ransomware with immutable backup, AI-based early threat detection, and rapid data recovery.

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