Senior Data Scientist IT Operations & Analytics

We are looking for Senior Data Scientist IT Operations & Analytics please find the JD below:

Senior Data Scientist IT Operations & Analytics

Location: Bangalore (Whitefield) or Chennai (Siruseri) or Mumbai (Airoli (West).

Type of Hire: Full-Time

Experience: 15+ years

Role Overview:
Were seeking a highly skilled and self-directed Senior Data Scientist to lead complex analytics initiatives across IT operations, ITSM platforms, and telemetry systems. This role demands deep technical expertise, strategic thinking, and the ability to translate raw data into actionable insights that drive operational efficiency, user satisfaction, and business value.

Key Responsibilities:

• Lead end-to-end data science projects focused on IT operations, incident management, and experience optimization.
• Analyze structured and unstructured data from ITSM systems (e.g., ServiceNow), endpoint telemetry platforms (e.g., Nexthink, Intune), and infrastructure monitoring tools.
• Develop predictive models for incident forecasting, root cause analysis, and proactive remediation.
• Design anomaly detection algorithms to identify performance degradation, user friction, or compliance risks.
• Build dashboards and visualizations to communicate insights to technical and executive stakeholders.
• Collaborate with IT architects, service owners, and automation teams to embed intelligence into operational workflows.
• Evaluate data quality, lineage, and governance across diverse IT data sources.
• Stay current with emerging trends in AIOps, DEX, and IT analytics.

Required Skills & Experience:

• Overall 15+ years of experience in IT & Software, 8+ years of experience in data science, with at least 3 years focused on IT operations or enterprise IT analytics.
• Proficiency in Python, SQL, and data science libraries (e.g., scikit-learn, pandas, TensorFlow).
• Strong understanding of ITSM data structures, incident lifecycle, and operational KPIs.
• Experience with telemetry platforms (e.g., Nexthink, SysTrack, Intune, SCCM) and endpoint data.
• Familiarity with cloud infrastructure metrics (Azure, AWS, GCP) and log analytics.
• Expertise in statistical modeling, machine learning, and time-series analysis.
• Ability to work independently and manage multiple complex projects simultaneously.
• Expertise in using compute and AI resources on MS Azure.
• Expertise in using statistical un-supervised models, supervised models, LLMs and SLMs
• Excellent communication skills for cross-functional collaboration and executive reporting.

• Preferred Qualifications:
• Experience in AIOps, DEX, or EUC analytics domains.
• Knowledge of ServiceNow, performance analytics, and integration workflows.
• Exposure to MLOps frameworks and model deployment in enterprise environments.
• Advanced degree in Computer Science, Statistics, or a related field.