Data Scientist

🔍 Key Responsibilities:
Build and deploy machine learning models for business use cases
Work on supervised learning (regression, classification, time-series)
Apply unsupervised techniques (clustering, dimensionality reduction, anomaly detection)
Perform data cleaning, preprocessing, and feature engineering
Tune and optimize models for performance and accuracy
Work with large datasets using Python and SQL
Collaborate with cross-functional teams to translate business problems into ML solutions
Maintain code repositories and version control using Git

✅ Requirements:
4–5+ years of relevant experience as a Data Scientist
Strong expertise in Python, SQL, ML algorithms, and statistics
Hands-on experience with supervised & unsupervised learning techniques
Experience in data preprocessing, feature engineering, and model tuning
Strong understanding of end-to-end ML lifecycle
Active Git profile showcasing projects/work
Excellent problem-solving and analytical skills
Strong communication skills