Data Scientist

Role Overview

The Data Scientist will be responsible for analyzing complex datasets, building predictive models, and developing data-driven solutions to support business decision-making.

What You Will Do

Collect, clean, preprocess, and analyze structured and unstructured datasets, build machine learning models, and develop predictive models using techniques such as regression, classification, clustering, and forecasting.

Why It Might Be a Fit

The ideal candidate should have strong analytical and problem-solving skills, hands-on experience in Python, SQL, statistics, and machine learning, and the ability to translate business problems into scalable analytical solutions.

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Engineering, Economics, or a related quantitative field.
• Minimum 2–3 years of relevant experience in Data Science, Machine Learning, Advanced Analytics, or a similar role.
• Strong understanding of statistical analysis and probability.
• Knowledge of supervised and unsupervised machine learning techniques.
• Understanding of regression, classification, clustering, and forecasting methods.
• Knowledge of feature engineering, model validation, and model evaluation techniques.
• Understanding of relational databases and SQL.
• Familiarity with data visualization concepts and analytical reporting.
• Basic understanding of machine learning model deployment and monitoring.
• Knowledge of Generative AI, NLP, LLMs, or deep learning will be an added advantage.