Data Scientist

VRINDA INTERNATIONAL; Hyderabad; On-site; INR 2,700,000 - 3,300,000; Full time

Job summary

VRINDA INTERNATIONAL in Hyderabad is seeking an experienced Data Scientist / ML Engineer with strong expertise in statistics, ML, SQL, Python and AWS data services. The role demands 8+ years of experience (7+ years relevant) and offers a challenging environment focused on analytics and dashboards.

Work mode is 4 days in the office with 1 day work-from-home. Immediate to 15 days notice period preferred; shift from 4:00 PM to 1:00 AM. Budget up to ₹30 LPA for local candidates.

Qualifications

• Strong foundation in statistics and analytics.
• Experience with hypothesis testing, regression, time-series analyses and Bayesian methods.
• Strong SQL skills and Python/R for data science.
• Hands-on experience with AWS data services and Tableau for dashboards.

Responsibilities

• Build metrics frameworks for digital ordering pipelines.
• Develop dashboards for volume, throughput, TAT, errors and system stability.
• Develop predictive models for failures, trends and capacity planning.
• Develop automated anomaly detection solutions.
• Perform statistical root-cause analysis.
• Partner with engineering teams for data instrumentation and insights presentations.

Skills

Statistics

Hypothesis Testing

Time Series Analysis

Advanced SQL

Python

R

Scikit-learn

AWS SageMaker

AWS Redshift

AWS Glue

Tableau

Dashboard Development

Anomaly Detection

Predictive Modeling

Stakeholder Management

Tools

SQL

Python

R

Tableau

AWS SageMaker

AWS Redshift

AWS Glue

AWS Athena

QuickSight

Job description

Job Description:

HIRING | DATA SCIENTIST

• Location: Hyderabad - Local Candidates Only
• Work Mode: 4 Days WFO + 1 Day WFH
• Experience: 8+ Years | 7+ Years Relevant
• Budget: Up to ₹30 LPA
• Notice Period: Immediate to 15 Days ONLY
• Shift: 4:00 PM - 1:00 AM

About the Role

We are looking for an experienced Data Scientist / ML Engineer with strong expertise in statistical modeling, advanced analytics, machine learning, SQL, Python and AWS data services.

Mandatory Skills

• Strong foundation in Statistics
• Hypothesis Testing, Regression, Time Series Analysis & Bayesian Methods
• Advanced SQL
• Python / R
• Scikit-learn, Statsmodels, Pandas & NumPy
• AWS - SageMaker, Redshift, Athena, Glue, QuickSight or similar
• Hands-on Tableau experience
• Metrics framework & dashboard development from scratch
• Anomaly Detection & Predictive Modeling
• Experience working with data from multiple systems
• Strong communication & stakeholder management skills

Key Responsibilities

• Build metrics frameworks for digital ordering pipelines
• Develop dashboards for volume, throughput, TAT, errors and system stability
• Build predictive models for failures, trends and capacity planning
• Develop automated anomaly detection solutions
• Perform statistical root-cause analysis
• Partner with engineering teams for data instrumentation
• Present technical/statistical insights to leadership and engineering teams
• Analyze production issues and quantify business impact

Requirements: