Data Scientist

India, Tamil Nadu, Chennai

2 weeks ago

Applicants: 0

Machine Learning Python Object Detection Data Modeling Power BI Pandas Computer Vision Scikit-learn Neural Networks Sentiment Analysis Azure Business Intelligence Statistics Regression Clustering Text Dashboards Visualization Jupyter Decision Trees

INR 12 - 20 LPA

2 months left to apply

Job Description

Job Description : Data Scientist / AI Specialist

Location: Chennai,

Experience: 5–7 Years

Role Overview

As a Data Scientist/AI Specialist, you will be the primary engine for discovering hidden

insights and building predictive models that drive business value. You are responsible

for the entire analytical lifecycle—from identifying patterns in raw data to implementing

complex models in production. You will bridge the gap between abstract data and

actionable business strategy through advanced statistics, NLP, and Computer Vision.

Key Responsibilities

 Advanced Model Development: Design and build high-performance predictive

models and machine learning algorithms to solve complex analytical problems.

 Business Intelligence: Translate raw data patterns into business insights using

Power BI to drive executive decision-making.

 Validation & Training: Conduct rigorous model training and validation to ensure

accuracy, reliability, and ethical AI standards.

 Requirement Analysis: Work closely with stakeholders to understand business

pain points and design technical solutions that capture value.

 Documentation: Maintain thorough documentation of data experiments, model

versions, and logic for seamless knowledge transfer

Core Competencies (The Skillet)

Analytics & Specialization

 Algorithms: Mastery of advanced statistics and ML algorithms (Regression,

Clustering, Decision Trees, Neural Networks).

 NLP & Vision: Specialized experience in Natural Language Processing (Text

mining, sentiment analysis) and Computer Vision (Object detection, image

classification).

 Modeling: Expertise in feature engineering and data modeling to ensure high-

quality "fuel" for AI.

Tools & Platforms

 Languages: Expert-level proficiency in Python (Pandas, Scikit-learn) or R.

 Environments: Extensive experience using Jupyter Notebooks for

experimentation and Azure ML Studio for production-grade deployments.

 Visualization: Ability to build interactive dashboards in Power BI to

communicate insights to non-technical teams.

Business & Strategy

 Insight Discovery: Proven ability to look at unstructured data and find

opportunities for cost savings or revenue growth.

 Solution Design: Ability to define the architecture of a data science project

before writing a single line of code.