Senior Data Scientist

Key Responsibilities Lead the design, development, and deployment of advanced machine learning and statistical models using healthcare data (EHR, claims, imaging, wearable, and operational datasets). Develop predictive and prescriptive models for patient risk stratification, disease progression, readmission prediction, cost optimization, and care pathway optimization. Apply advanced analytics techniques, including time-series analysis, NLP on clinical notes, survival analysis, and causal inference. Collaborate closely with clinicians, healthcare product teams, and business stakeholders to translate clinical and operational problems into data science solutions. Ensure data quality, feature engineering, model validation, and explainability are aligned with healthcare standards. Support model deployment, monitoring, and performance optimization in production environments. Mentor junior data scientists and contribute to best practices in data science, experimentation, and model governance. Ensure compliance with healthcare regulations and data privacy standards (HIPAA, PHI handling, GDPR where applicable). Communicate insights, findings, and recommendations clearly to technical and non-technical stakeholders. Required Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Biomedical Informatics, or a related field (PhD is a plus). 5+ years of hands-on experience in data science, with at least 2+ years working on healthcare data or healthcare analytics projects. Strong proficiency in Python and SQL; experience with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar. Solid understanding of machine learning algorithms, statistical modeling, and experimentation techniques. Experience working with healthcare datasets such as EHR/EMR, claims, lab results, medical codes (ICD-10, CPT, HCPCS, SNOMED). Knowledge of data privacy, security, and compliance requirements in healthcare. Strong analytical thinking, problem-solving skills, and attention to detail.