The Role
Build metrics frameworks, operational dashboards, predictive models, and anomaly detection solutions for digital ordering pipelines. Analyze system performance, conduct statistical root-cause analysis, assess production incidents, and support capacity planning. Collaborate with engineering teams on data instrumentation and communicate technical insights to technical and executive stakeholders. The role requires advanced statistics, SQL, Python or R, machine learning libraries, AWS data and ML services, Tableau, and production analytics experience.
Summary Generated by Built In
Hiring: Data Scientist | Hyderabad
Requirements
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.
- Healthcare, Diagnostics or Lab Operations experience
- Operational Analytics, SLA Monitoring or System Health Metrics
- Real-time/Streaming Analytics using Kinesis or Lambda
- 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
- 8+ years of experience as a Data Scientist, ML Engineer, or Advanced Analytics professional
- Strong 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
Skills Required
- 8+ years of experience as a Data Scientist, ML Engineer, or Advanced Analytics professional
- Strong foundation in statistics, hypothesis testing, regression, time series analysis, and Bayesian methods
- Advanced SQL experience with large, multi-source datasets
- Strong proficiency in Python or R
- Hands-on experience with Scikit-learn, Statsmodels, Pandas, and NumPy
- Experience with AWS 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 or 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
- Healthcare, diagnostics, or lab operations experience
- Operational analytics, SLA monitoring, or system health metrics experience
- Real-time or streaming analytics using Kinesis or Lambda
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The Company
What We Do
Vrinda International is a Chandigarh-based recruitment and education consultancy connecting job seekers and employers through domestic and international IT and non-IT hiring. It also supports students with overseas university admissions, visa applications, education guidance, and test preparation for IELTS, PTE, and other programs. Its tech-enabled talent portal provides job matching and career pathways across India and global markets, alongside staffing partnerships.
