Data Scientist

Data Scientist

Location: Bangalore

Experience: 3 4 Years

Employment Type: Full-time

Role Overview

We are looking for a skilled Data Scientist with strong expertise in machine learning, statistical analysis, and data modeling. The ideal candidate will work with large datasets to build predictive models, uncover insights, and develop AI-driven solutions that support data-driven business decisions.

This role involves working closely with data engineers, software developers, and business stakeholders to design and deploy intelligent analytics solutions.

Key Responsibilities

Data Analysis & Modeling

• Analyze large and complex datasets to identify patterns, trends, and insights.
• Develop statistical models and machine learning algorithms to solve business problems.
• Perform exploratory data analysis to support data-driven decision-making.

Machine Learning Development

• Design, develop, and deploy machine learning models for predictive analytics.
• Implement supervised and unsupervised learning algorithms.
• Evaluate model performance and optimize algorithms for accuracy and scalability.

Data Preparation

• Perform data cleaning, preprocessing, and feature engineering.
• Transform and prepare structured and unstructured datasets for model training.

AI & Advanced Analytics

Develop AI-driven solutions such as:

• Predictive analytics models
• Recommendation systems
• Forecasting models
• Anomaly detection systems

Model Deployment

• Deploy machine learning models into production environments.
• Work with engineering teams to integrate models into applications and platforms.
• Monitor and improve model performance post-deployment.

Collaboration

• Work closely with Data Engineers, Software Engineers, and Product teams.
• Translate business requirements into data science and machine learning solutions.

Required Skills

Programming

• Python
• SQL

Data Science & ML Libraries

• Pandas
• NumPy
• Scikit-learn
• TensorFlow / PyTorch

Machine Learning

• Regression
• Classification
• Clustering
• Model evaluation and validation techniques

Data Visualization

• Power BI
• Tableau
• Matplotlib
• Seaborn

Data Platforms

• Experience working with large datasets and data pipelines.

Preferred Skills

• Experience with Cloud platforms (AWS, Azure, or GCP)
• Knowledge of Deep Learning frameworks
• Experience with NLP or Generative AI models
• Familiarity with Big Data technologies such as Apache Spark

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
• 34 years of experience in Data Science, Machine Learning, or Advanced Analytics

Success Metrics

• Accuracy and performance of machine learning models
• Business insights generated through data analysis
• Successful deployment of ML/AI models into production
• Contribution to data-driven decision-making