Senior Data Scientist, Kontakt.io

• 5+ years of experience in data science, predictive analytics, or related roles
• Exposure to EHR data structures and workflows in healthcare
• Proficiency in Python or R, with experience in libraries/frameworks like sci-kit-learn, PyTorch, or TensorFlow
• Strong SQL skills and familiarity with distributed computing platforms like Spark or Hadoop
• Experience with cloud environments (AWS, GCP, Azure) and MLOps best practices
• Knowledge of LLMs, NLP, and Retriever-Augmented Generation (RAG)
• Strong analytical thinking and problem-solving abilities
• Master’s or PhD in Data Science, Computer Science, Statistics, Mathematics, Operations Research, or a related quantitative discipline

Desirable

• As a Senior Data Scientist, you will design and deploy advanced machine learning, operations research, and optimization solutions across various aspects of healthcare operations
• Working alongside clinicians, data engineers, product managers, and hospital administrators, you will translate complex healthcare challenges into actionable strategies
• The ideal candidate will have a strong technical skill set, proven leadership in end-to-end project delivery, and a deep understanding of healthcare data and regulations
• Excel at developing and deploying machine learning models to drive improved patient care and operational efficiency using complex healthcare data
• Are skilled at creating and scaling LLM-based solutions, including Retriever-Augmented Generation (RAG) architectures, for innovative applications in healthcare analytics
• Bring expertise in applying operations research techniques such as linear programming, queueing theory, and optimization to healthcare challenges like scheduling, resource allocation, and capacity planning
• Collaborate effectively with clinicians, operations teams, and product managers to align data-driven solutions with business goals
• Design experiments, pilot studies, and A/B tests to assess the impact of interventions in clinical and operational contexts
• Stay current with advancements in machine learning, operations research, and healthcare analytics, ensuring innovative and compliant solutions
• Prioritize adherence to healthcare privacy regulations (e.g., HIPAA) and implement secure workflows for data handling and deployment
• Have excellent communication skills and can convey complex technical concepts to both technical and non-technical stakeholders