Data and Applied Scientist
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Summary
NetApp is seeking a Data & Applied Scientist to join the Data Services organization. The overarching vision of this organization is to empower organizations to effectively manage and govern their data estate and build cyber-resiliency while accelerating their digital transformation journey. To get to this vision we will embark on an AI-first approach to build and deliver world-class suite of data services. As an individual contributor in this team the Data & Applied Scientist will be responsible for independently developing and shipping ML/AI-based solutions to solve real-world challenges in the domains of data governance and compliance. The candidate will possess deep expertise in using modern AI/ML systems to ship impactful products to production. This is going to be a challenging and a fun role in one of the most exciting roles in the industry today.
Job Requirements
- Lead the development and deployment of AI/ML models and systems for Data governance with techniques from the realm of classical Machine learning Generative AI and AI agents.
- Develop scalable data pipelines for various AI/ML-driven solutions from building curated data pipelines setting up automated evals adopting latest and greatest techniques and approaches platforms for rapid experimentation.
- Collaborate with data scientists and engineers to integrate AI models and systems into the broader products at NetApp. Effectively communicate complex technical artifacts to both technical and non-technical audiences.
- Work with a great deal of autonomy and proactively bring open-source AI innovations into our research and experimentation roadmap.
- Ensure scalability reliability and performance of AI models in production environments.
- Have a customer focus mindset and build AI/ML products that delight our customers.
- Represent NetApp as an innovator in the machine learning community and promote the companys product capabilities in industry/academic conferences.
Required and Preferred Qualification
Required Qualification
Masters or bachelors degree in computer science / applied mathematics / statistics / data science OR equivalent skills. Degrees are not compulsory.
Expertise in data science fundamentals and model evaluations as evidenced by solid understanding of supervised ML unsupervised ML and deep learning approaches with 4 years of experience shipping them to production.
Strong Proficiency in Python modern ML frameworks (PyTorch transformers) and derivative tooling.
Working expertise with using large language models prompting techniques finetuning synthetic data generation and knowing when not to use LLMs.
Excellent communication and collaboration skills with demonstrated ability to work effectively with cross-functional teams and stakeholders of an organization
Preferred Qualification
Curiosity and tinkering with AI agents or multi-agent systems.
Understanding of data governance security policies and compliance frameworks.
Experience of representing their work or company in AI/ML conferences. Publications or contributions to AI/ML community related to NLP or data governance.
Active GitHub profile showcasing relevant open-source AI/ML projects or Kaggle achievements.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Turn a world of disruption into opportunity with intelligent data infrastructure from NetApp. Realize seamless flexibility—any data, any workload, any environment—with the only enterprise-grade storage service embedded in the world’s biggest clouds.
