We are looking for a Senior Data Scientist to join the AIOps team. In this role, you'll focus on applying machine learning and data science techniques to large-scale monitoring and alerting data-ensuring smooth, reliable video streaming experiences for millions of users.
This position is ideal for someone with a strong foundation in machine learning, and time series analysis, particularly in the context of IT operations, logs, and system performance data.
Key Responsibilities:
- Analyze large-scale monitoring data (logs, alerts, metrics) to identify system anomalies and predict issues.
- Build and deploy ML models (regression, classification, clustering) to improve alert accuracy and reduce noise.
- Perform time series analysis for proactive incident forecasting and event correlation.
- Work closely with IT Ops and DevOps teams to improve observability and operational response.
- Utilize Python or R to connect to various backend databases and work with raw data sources.
- Translate complex technical data into actionable insights for engineering and business teams
Required Experience:
- 5+ years of professional experience as a Data Scientist
- 3+ years with direct AIOps experience
- Strong proficiency in Python or R.
- Expertise in machine learning (regression, classification, clustering).
- Solid background in anomaly detection, time series analysis, and monitoring data.
- Experience working with infrastructure data (logs, alerts, system metrics).
- Ability to work with multiple database types and perform backend data analysis.
- Familiarity with AIOps tools and SRE/observability concepts.
Nice to Have:
- Experience in video streaming or media platforms (e.g., understanding of buffering, video playback issues, etc.).
- Knowledge of AIOps platforms (e.g., New Relic, Prometheus).
- Experience with NLP for log analysis.
- Background in deep learning or predictive maintenance models.
This role is 100% remote
Apply now with your resume or email us directly at [email protected]
GCS is acting as an Employment Business in relation to this vacancy.
 
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