Position Details
About this role
A senior data scientist role focused on analyzing large-scale observability and telemetry data to improve datacenter reliability, performance, and capacity planning.
Key Responsibilities
- Collaborate with engineering teams to define analytical requirements
- Examine large-scale observability data
- Create performance dashboards
- Build anomaly detection models
- Develop capacity forecasting models
Technical Overview
Involves applying machine learning, statistical analysis, and data science techniques to large distributed systems, utilizing Python, SQL, and telemetry data platforms.
Ideal Candidate
The ideal candidate is a senior data scientist with at least 8 years of experience applying data science, statistics, and machine learning to large-scale infrastructure data. They possess strong skills in Python, SQL, and telemetry data analysis, with a focus on reliability and capacity forecasting in datacenter environments.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 8 years of experience in data science or related field, Lack of experience with telemetry or observability data, Inability to work with large-scale distributed systems, No proficiency in Python or SQL
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