Staff Applied Data Scientist
Staff Applied Data Scientist
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$ 192000 - 240000
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 looking for a Staff Data Scientist to spearhead advanced modeling generative AI and agentic workflows. This role combines deep expertise in statistical and machine learning methodologies ranging from causal inference and time-series forecasting to reinforcement learning with hands-on development of transformer-based LLMs semantic search and scalable AI system architectures. Youll architect production-ready platforms validate models through rigorous experimentation and mentor a team to execute Cohesitys AI vision.
Staff Data Scientist will lead Cohesitys efforts in NLP generative AI agentic development and advanced data science modeling driving 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:
Advanced Modeling & Algorithm Development
- 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.
Experimentation & Performance Optimization
- 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.
Generative AI & NLP
- Develop and fine-tune transformer-based LLMs (e.g. using LoRA QLoRA and full fine-tuning techniques) to optimize performance for domain-specific tasks.
- Implement Reinforcement Learning with Feedback (RLF) or Human Feedback (RLHF) to improve response quality and alignment with user intent.
- Optimize training and inference workloads using GPU acceleration (CUDA) and explore model deployment using NVIDIA Inference Microservices (NIM) for scalable low-latency serving.
- Orchestrate multi-agent workflows and tool use with frameworks such as LangChain and OpenAIs Operator.
- Integrate retrieval-augmented generation (RAG) and semantic search capabilities using vector databases like Pinecone Weaviate or Milvus.
- Drive end-to-end delivery of customer-facing AI solutions by leveraging enterprise data catalogs to builddomain-specific LLMs enabling context-aware responses grounded in structured and unstructured data.
System Architecture & Performance
- 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.
Cross-Functional Collaboration
- 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.
Mentorship & Leadership
- Mentor and coach data scientists and engineers through design reviews pair programming and career development.
- Establish best practices in model governance data privacy and ethical AI and drive their adoption across teams.
WED LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING:
- Masters or Ph.D. in Computer Science Statistics Machine Learning or a related quantitative field.
- 15 years in data science/AI roles with at least 3 years leading large-scale AI or data science modeling initiatives in production environments.
- 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.
- 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) .
- Publications or patents in machine learning data science or AI domains.
- Experience scaling AI solutions in high-growth or startup environments under tight timelines.
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.
Required Experience:
Staff IC
Employment Type
Full-Time
