Experience: 8–10 Years
Location: Hyderabad
Work Mode: Hybrid
Employment Type: Full-Time
CTC: ₹25–30 LPA
Positions: 1 Notice Period: Immediate Joiner Qualification: Bachelor’s Degree Onsite Feasibility: Yes Working Hours: 4:00 PM – 11:59 PM
Key Responsibilities
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?
- Date of birth
- If you have had a short tenure( Any tenure Less than 6 month is short tenure) at any organization, please explain the reason for leaving. If not having short tenure write "N/A
- If there is a career gap in your profile, please explain the reason and how you utilized that time, If no career Gap mention " N/A "
- Reason for job change
Work Location: Hybrid remote in Hyderabad, Telangana
