Data Scientist

• Collect, clean, and preprocess structured and unstructured data.
• Build and evaluate machine learning models for prediction and classification.
• Use Python, SQL, Pandas, NumPy, and Scikit-learn for data analysis and modeling.
• Design accurate and scalable prediction algorithms
• Evaluate model performance using appropriate metrics.
• Document analysis, methodologies, and results.
• Communicate findings and recommendations to technical and non-technical stakeholders.

Qualifications

• Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 1 - 2 years' of experience in quantitative analytics or data modeling
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Fluency in a programming language (Python, C,C++, Java, SQL)
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)