Define and build the metrics framework for the digital ordering pipeline.
Design dashboards to monitor
Order volume
Throughput
Turnaround times
Error rates
System stability
Build predictive models for
Order failures
Volume trends
Capacity requirements
Develop automated anomaly detection mechanisms to identify pipeline issues at an early stage.
Apply advanced statistical methods for root cause analysis.
Partner with engineering teams to improve data collection and data quality.
Translate complex technical and statistical findings into clear and actionable business narratives.
Investigate ad-hoc data questions and production issues.
Quantify the impact of incidents and support root cause analysis.
Document metric definitions, model logic, data sources, and dashboard designs.
Must-Have Skills
Statistics & Analytics
Statistics
Hypothesis Testing
Regression
Time Series Analysis
Bayesian Methods
Programming & Data Science
Advanced SQL
Python
Scikit-learn
Statsmodels
Pandas
NumPy
Cloud & Data Platforms
AWS
Amazon Redshift
Amazon Athena
AWS Glue
Good-to-Have Skills
AWS Lambda
SLA Monitoring
Pay: ₹2,500,000.00 - ₹3,000,000.00 per year
Application Question(s)
*
Total experience
- Relevant experience
- Current annual ctc
- Expected annual ctc
- Notice period
- Current location.?
- Are you ready to relocate to job location?
- Are you comfortable with the shift timing?
Work Location: Hybrid remote in Hyderabad, Telangana
📌 Data Scientist (Hyderabad)
🏢 Sourcedear
📍 Hyderabad
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