Data Scientist

Qualifications

• Master’s or PhD in Computer Science, Data Science, Engineering, Statistics, Applied Mathematics, Operations Research, or a related quantitative field
• Specialization in Machine Learning, Artificial Intelligence, Cognitive Science, or Data Science preferred
• 5+ years of hands-on experience delivering end-to-end data science projects with measurable impact on clinical or business outcomes
• Strong programming expertise in Python or R, with experience in machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
• Solid foundation in machine learning and statistical methods, including supervised and unsupervised learning, deep learning, NLP, computer vision, regression, ensemble models, and A/B testing
• Experience in data engineering, including SQL/NoSQL databases, distributed systems (Hadoop, Spark, Kafka), and building scalable data pipelines on cloud platforms (AWS, Azure, or GCP)
• Proven experience in deploying and maintaining ML models, including MLOps practices such as containerization (Docker, Kubernetes), model monitoring, and version control