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Vrinda International

Data Scientist

Vrinda International Hyderabad, Telangana, India

Human Resources Services · 2-10 employees

Aug 12
data-scientist Principal (10+ yrs) Full-time India
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About the role

The Data Scientist will build metrics frameworks for digital ordering pipelines and develop dashboards to monitor system health and throughput. They will also create predictive models for failure trends and perform root-cause analysis using statistical methods.

What they look for

Statistics Hypothesis Testing Regression Time Series Analysis Bayesian Methods SQL Python R Scikit-learn Statsmodels Pandas NumPy AWS Tableau Anomaly Detection Predictive Modeling

Requirements

Candidates must have over 8 years of experience in data science or advanced analytics with strong proficiency in Python, SQL, and statistical modeling. Experience with AWS data services and building production-level anomaly detection solutions is required.

Full description

Hiring: Data Scientist | Hyderabad

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
  • 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

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