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Vrinda International

DATA SCIENTIST

Vrinda International Hyderabad, Telangana, India

Human Resources Services · 2-10 employees

Aug 18
data-scientist Principal (10+ yrs) Full-time India
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About the role

Build metrics frameworks, operational dashboards, and predictive models for business trends and capacity. Partner with engineering teams to implement automated anomaly detection and perform statistical root cause analysis.

What they look for

Data Science Machine Learning Advanced Analytics Statistics SQL Python R Scikit-learn Statsmodels Pandas NumPy AWS Tableau Predictive Modeling Anomaly Detection Stakeholder Management

Requirements

Requires 8+ years of experience in Data Science, Machine Learning, and Advanced Analytics. Candidates must possess strong proficiency in statistics, SQL, Python or R, and AWS cloud services.

Full description

HIRING | DATA SCIENTIST

Location: Hyderabad | Local Candidates Only

Experience: 8+ Years

Budget: Up to ₹30 LPA

Notice Period: Immediate to 15 Days

Work Mode: 4 Days WFO + 1 Day WFH

Shift: 4:00 PM – 1:00 AM

Positions: 4

Interview: L1 Technical → L2 Techno-Managerial → Client

MUST-HAVE SKILLS

  • 8+ years in Data Science / ML / Advanced Analytics
  • Strong statistics: hypothesis testing, regression, time series, Bayesian methods
  • Advanced SQL and large, multi-source datasets
  • Python or R
  • scikit-learn, statsmodels, pandas, NumPy
  • AWS: SageMaker, Redshift, Athena, Glue, QuickSight
  • Hands-on Tableau experience
  • Metrics frameworks and dashboard development from scratch
  • Predictive modeling & anomaly detection
  • Strong communication and stakeholder management

KEY RESPONSIBILITIES

  • Build metrics frameworks and operational dashboards
  • Develop predictive models for failures, trends and capacity
  • Implement automated anomaly detection
  • Perform statistical root cause analysis
  • Analyze production issues and business impact
  • Partner with engineering teams on data instrumentation
  • Present complex findings to technical and executive stakeholders
  • Document metrics, models, data sources and dashboards

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