Data Scientist

Actively Reviewing the Applications

SWITS DIGITAL Private Limited

India, Tamil Nadu, Chennai Full-Time On-site INR 9–16 LPA

Posted 1 day ago • Apply by May 19, 2026

Job Description

Job Description : Data Scientist

Location: Chennai

Experience: 5–7 Years

Role Overview

As a Data Scientist, 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 predictivemodels 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.