Sr. Engineer - Data Scientist
Kyndryl (company site, opens in a new tab)4+ yrsMumbaiOn-siteDirect career pageEst. 12–22 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end data science projects bridging business problems to data-driven solutions including data exploration, model creation, evaluation, and deployment as code.
- Manage data processes and policies ensuring data security, privacy, accuracy, availability, and usability throughout the model lifecycle.
- Diagnose and resolve complex production issues in distributed environments involving ELK Stack and cloud infrastructure tools.
Minimum Requirements
- Minimum 4+ years of relevant work experience.
- Strong expertise in ELK Stack (Elasticsearch, Logstash, Kibana) for log management, monitoring, analytics, and distributed cluster management.
- Experience working with Linux environments and cloud CLI tools (Azure CLI, AWS CLI, Kubernetes CLI).
- Work Experience Required: Minimum 4+ years
Ideal Candidate Profile
- Experienced in distributed environment troubleshooting and performance tuning with ELK Stack clusters.
- Comfortable operating across business domains leveraging data science and engineering skills to solve complex operational problems.
- Ability to communicate complex data insights and technical issues effectively to both technical and non-technical stakeholders.