Location: Hyderabad
Experience: 8+ Years | Relevant: 7+ Years
Positions: 4
CTC: Up to ₹30 LPA
Work Mode: 4 Days WFO + 1 Day WFH
Shift: 4:00 PM – 1:00 AM
Notice Period: Immediate to 15 Days
Only notice-serving candidates | Candidates who have not resigned or are on bench will not be considered
Hyderabad local candidates only, as the process includes F2F interview after the L1 Technical round.
Good to Have
- Healthcare, Diagnostics or Lab Operations experience
- Operational Analytics, SLA Monitoring or System Health Metrics
- Real-time/Streaming Analytics using Kinesis or Lambda
Key Responsibilities
- Build and define metrics frameworks for digital ordering pipelines
- Develop dashboards for order volume, throughput, TAT, error rates and system stability
- Build predictive models for failures, trends and capacity planning
- Develop automated anomaly detection solutions
- Apply statistical methods for root-cause analysis
- Partner with engineering teams for data instrumentation
- Translate complex technical/statistical findings into clear business insights
- Support production issue analysis, incident impact assessment and RCA
- Document metrics, model logic, data sources and dashboard architecture
Requirements
Must-Have Skills
- 8+ years of experience as a Data Scientist, ML Engineer, or Advanced Analytics professional
- Solid foundation in Statistics, Hypothesis Testing, Regression, Time Series Analysis & Bayesian Methods
- Advanced SQL with experience working on large, multi-source datasets
- Strong proficiency in Python or R
- Hands-on experience with Scikit-learn, Statsmodels, Pandas & NumPy
- Experience with AWS data & ML services such as SageMaker, Redshift, Athena, Glue or QuickSight
- Hands-on experience with Tableau
- Experience building metrics frameworks and dashboards from scratch
- Experience with Anomaly Detection and Predictive Modeling in production/operational environments
- Strong experience in root-cause analysis and statistical analysis
- Excellent communication skills with the ability to present insights to technical and executive stakeholders
- Experience working across multiple teams and integrating data from disparate sources
📌 Data Scientist (Hyderabad)
🏢 Vrinda International
📍 Hyderabad
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