Data Science Analyst II

Jobtailor; Chennai District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Jobtailor in Chennai is seeking a data analytics professional to design and implement analytics solutions, validate results, and monitor performance. You will work with Python, PySpark, SQL, and Hadoop, building automation and supporting GenAI-driven initiatives while documenting processes.

This role emphasizes collaboration, clear communication, and delivering actionable business insights through robust data analysis and model monitoring.

Qualifications

• 3 to 6 years of relevant experience in Data Analytics / Data Science roles.
• Strong programming skills in Python, PySpark, and SQL to manipulate data and develop production-ready solutions.
• Knowledge of LLM tools, GenAI concepts, and modern AI techniques.
• Sound knowledge and exposure to the application of Statistical and Machine Learning techniques.
• Familiarity with AI/ML model monitoring, observability, automation frameworks, and GenAI applications.
• Exposure to workflow orchestration, process automation, or AI-driven operational efficiency solutions will be an added advantage.
• Exposure to LLM agents/tools and certifications in GenAI will be an added advantage.
• Ability to interpret and translate data into meaningful business insights.
• Excellent verbal, written, communication, and presentation skills.

Responsibilities

• Work across a range of analytical solutions involving implementation, testing, validation, documentation, monitoring, investigations, and reporting.
• Extract, analyze, and validate large datasets from various data sources using Python, PySpark, SQL, and Hadoop to support analytics implementations and operational activities. Perform model scoring, result validation, impact analysis, score investigations, and periodic model monitoring to ensure accuracy and operational stability.
• Develop and support automation solutions, AI-driven tools, and operational efficiency initiatives to streamline analytical processes and reduce manual effort.
• Utilize custom-built frameworks and platforms for analytics implementations, validations, monitoring, reporting, and delivery activities.
• Support MLOps/LLMOps processes for deployment, monitoring, observability, validation, and governance of AI/ML solutions.

Skills

Python Programming

PySpark Development

SQL Data Manipulation

AI/ML Model Monitoring

Statistical Analysis

Data Analytics

Data Science

Machine Learning Techniques

Automation Solutions

Model Validation

Impact Analysis

Data Validation

Operational Stability

Workflow Orchestration

Communication Skills

Presentation Skills

Interpersonal Skills

Tools

Hadoop

GenAI Tools

AI-Driven Tools

Custom-Built Frameworks

MLOps

LLMOps

Job description

• Work across a range of analytical solutions involving implementation, testing, validation, documentation, monitoring, investigations, and reporting.


• Extract, analyze, and validate large datasets from various data sources using tools such as Python, PySpark, SQL, and Hadoop to support analytics implementations and operational activities. Perform model scoring, result validation, impact analysis, score investigations, and periodic model monitoring to ensure accuracy and operational stability.


• Develop and support automation solutions, AI-driven tools, and operational efficiency initiatives to streamline analytical processes and reduce manual effort.


• Utilize custom-built frameworks and platforms for analytics implementations, validations, monitoring, reporting, and delivery activities.


• Support MLOps/LLMOps processes for deployment, monitoring, observability, validation, and governance of AI/ML solutions.


• Create and maintain technical documentation, implementation artifacts, operational procedures, and knowledge repositories.

Requirements

• 3 to 6 years of relevant experience in Data Analytics / Data Science roles.


• Strong programming skills in Python, PySpark, and SQL to manipulate data and develop production-ready solutions.


• Knowledge of LLM tools, GenAI concepts, and modern AI techniques.


• Sound knowledge and exposure to the application of Statistical and Machine Learning techniques.


• Familiarity with AI/ML model monitoring, observability, automation frameworks, and GenAI applications.


• Exposure to workflow orchestration, process automation, or AI-driven operational efficiency solutions will be an added advantage.


• Exposure to LLM agents/tools and certifications in GenAI will be an added advantage.


• Ability to interpret and translate data into meaningful business insights.


• Excellent verbal, written, communication, and presentation skills.

Core Competencies

Demonstrates expertise in Data Analytics and Data Science, with strong programming skills in Python, PySpark, and SQL for data manipulation and production-ready solutions. Proficient in AI/ML model monitoring, automation frameworks, and translating data into actionable business insights.

Highest-signal resume keywords

• Python Programming


• PySpark Development


• SQL Data Manipulation


• AI/ML Model Monitoring


• Statistical Analysis

ATS Optimization Keywords

Hard Skills

• Data Analytics


• Data Science


• Machine Learning Techniques


• Statistical Techniques


• Automation Solutions


• Model Validation


• Impact Analysis


• Data Validation


• Operational Stability


• Workflow Orchestration

Soft Skills

• Communication Skills


• Presentation Skills


• Interpersonal Skills

Certifications & Qualifications

• GenAI Certification

Industry Keywords

• Data Sources


• Analytical Solutions


• Operational Efficiency


• Monitoring


• Documentation

Tools & Technologies

• Hadoop


• GenAI Tools


• AI-Driven Tools


• Custom-Built Frameworks


• MLOps


• LLMOps