Data Scientist

Role Overview

As a Data Scientist, you will develop data models, perform statistical analysis, and create AI-driven solutions that enhance operational efficiency. You will work closely with cross-functional teams to turn data into actionable insights that drive business value.

Key Responsibilities

• Collect, clean, and analyze large datasets to extract meaningful insights.
• Develop machine learning models for predictive analytics and automation.
• Design and implement algorithms for data mining, clustering, and classification.
• Build and optimize data pipelines for model deployment.
• Collaborate with data engineers and business stakeholders to translate business challenges into data-driven solutions.
• Communicate findings and recommendations through reports, dashboards, and visualizations.
• Stay updated on the latest trends in AI, machine learning, and data science best practices.

Requirements

• Minimum 2-4 years of experience in data science, machine learning, or analytics.
• Proficiency in Python, R, or SQL for data analysis and modeling.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of statistical methods and data visualization techniques.
• Hands-on experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Excellent problem-solving skills and ability to work with large, unstructured datasets.