Data Scientist
Posted Updated 8
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Summary
Build and deploy ML models (classification, regression, clustering) for finance, healthcare, and tech clients, then visualize insights and productionize pipelines.
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)