Data Scientist II

📋 Description

• Building and deploying classical machine learning models for real-world business problems such as
• Designing, evaluating, and improving ML models using robust validation strategies
• Selecting appropriate algorithms based on business objectives, data characteristics
• Applying statistical and machine learning techniques to NLP, time-series forecasting
• Communicating model assumptions, methodology, results, limitations, and business impact to both
• Translating analytical findings into practical, scalable, and measurable business solutions

🎯 Requirements

• 3+ years of hands-on experience in classical machine learning, data science, predictive modeling
• Strong background in machine learning, statistical modeling, predictive analytics, and feature
• Strong proficiency in classical machine learning algorithms including Linear Regression, Logistic
• Experience with feature engineering, feature selection, dimensionality reduction, hyperparameter
• Proficiency in Python, Pandas, NumPy, Scikit-learn, with experience using libraries such as
• Experience working with large datasets and data pipelines, including data preprocessing, data