Data Scientist

Responsibilities: • Develop and deploy machine learning models (classification, regression, clustering) for client projects across finance, healthcare, and tech sectors • Perform exploratory data analysis, feature engineering, and statistical modeling on complex datasets • Build data pipelines and interactive visualizations using Tableau, Power BI, or Matplotlib • Collaborate with engineering teams to productionize models and monitor performance • Communicate insights and recommendations to non-technical stakeholders and clients Requirements • Bachelor's Degree in Data Science, Computer Science, Statistics, or related discipline • 3+ years of hands-on experience in data science or machine learning • Proficient in Python, R, and SQL; experience with scikit-learn, XGBoost, TensorFlow, or PyTorch • Strong background in statistical analysis and A/B testing • Familiarity with cloud platforms (AWS SageMaker, Azure ML, or GCP) is an advantage • Master's or PhD preferred; portfolio of projects (GitHub link required)