Senior Data Scientist | Machine Learning & Advanced Analytics | Hyderabad

About the Opportunity We are hiring a

Senior Data Scientist for a technology organization working on large-scale digital and operational analytics platforms. The role focuses on

statistical modelling, predictive analytics, anomaly detection, metrics frameworks, and production data insights . This is a hands-on role for an experienced Data Scientist who can work across large datasets, build models and dashboards from scratch, and translate complex findings into clear business and technical decisions.

Role Overview

• Experience: 8+ Years;

7+ years relevant experience mandatory

• Location: Hyderabad —

Local candidates only

• Work Mode: 4 Days Work From Office + 1 Day Work From Home
• Shift: 4:00 PM – 1:00 AM
• CTC: Up to ₹30 LPA
• Notice Period: Immediate to 15 Days
• Positions: 2
• Interview: L1 Technical → L2 Techno-Managerial → Client Interview
• F2F: Required after L1

Key Responsibilities

• Define and build metrics frameworks for complex digital/ordering pipelines.
• Develop dashboards covering volume, throughput, turnaround time, error rates, and system stability.
• Build

predictive models for failures, trends, and capacity planning.

• Develop automated

anomaly detection for identifying operational issues proactively.

• Apply statistical techniques for root-cause analysis.
• Work with engineering teams to improve data collection and instrumentation.
• Analyse data from multiple systems and create unified business insights.
• Present complex statistical and technical findings to executives and engineering teams.
• Handle ad-hoc analysis for production incidents and business problems.
• Document metric definitions, model logic, data sources, and dashboard architecture.

Mandatory Skills

• 8+ years in Data Science, ML Engineering, or Advanced Analytics.
• 7+ years relevant Data Science experience.
• Strong statistics:
• Hypothesis Testing
• Regression
• Time Series
• Bayesian Methods
• Advanced

SQL with complex queries across multiple datasets.

• Strong

Python or R .

• Hands-on experience with:
• Pandas
• NumPy
• Scikit-learn
• Statsmodels or equivalent
• Experience with

AWS data/ML services such as SageMaker, Redshift, Athena, Glue, or QuickSight.

• Strong hands-on

Tableau experience.

• Experience building dashboards and metrics frameworks

from scratch .

• Production experience with

predictive modelling and anomaly detection .

• Strong stakeholder communication and analytical problem-solving skills.

Good to Have

• Healthcare / Diagnostics / Lab Operations experience.
• Operational analytics, SLA monitoring, system health metrics.
• Real-time/streaming analytics using

Kinesis or Lambda .