Overview Senior Data Scientist (Healthcare) at Kontakt.io. Kontakt.io is building a platform that care operations run on. We reduce waste, cut costs, and improve revenue by improving throughput, asset utilization and staff productivity. Our platform uses AI, RTLS, and EHR data to enable self-learning agents to automate workflows, adapt in real-time, and orchestrate care delivery operations. It is easy to deploy and scale, giving a clear picture of spaces, equipment, and people, eliminating inefficiencies and enhancing the patient experience. We are a fast-growing, mission-driven organization transforming healthcare through data-driven insights. Our team uses Electronic Health Record (EHR) and Real-Time Location Systems (RTLS) data to deliver analytics solutions that optimize clinical workflows, enhance patient outcomes, and streamline hospital operations. We are seeking a passionate and experienced Senior Data Scientist to drive these initiatives and shape the future of healthcare. Responsibilities Design and deploy advanced machine learning, operations research, and optimization solutions across healthcare operations. Collaborate with clinicians, data engineers, product managers, and hospital administrators to translate complex healthcare challenges into actionable strategies. Develop and deploy machine learning models using complex healthcare data to improve patient care and operational efficiency. Create and scale LLM-based solutions, including Retriever-Augmented Generation (RAG) architectures, for healthcare analytics. Apply operations research techniques (e.g., linear programming, queueing theory, optimization) to scheduling, resource allocation, and capacity planning. Design experiments, pilot studies, and A/B tests to assess intervention impact in clinical and operational contexts. Stay current with advancements in ML, operations research, and healthcare analytics, ensuring innovative and compliant solutions. Ensure adherence to healthcare privacy regulations (e.g., HIPAA) and implement secure data handling and deployment workflows. Communicate complex technical concepts effectively to technical and non-technical stakeholders. Qualifications Our requirements 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 scikit-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 related quantitative field. Nice to Haves Hands-on experience with operations research methods, simulation modeling, and resource optimization in healthcare or related fields. Familiarity with RTLS data for asset tracking or workflow analysis. Experience mentoring or leading junior data scientists or engineers. Familiarity with DevOps/MLOps tools like Docker, Kubernetes, and Airflow, and CI/CD pipelines. Advanced knowledge of simulation modeling and its application in healthcare. Experience developing tools for real-time decision-making in healthcare environments. We offer Fast-growing SaaS startup with real-world impact. Salary range: 180K-210K annual Equity PTO + paid holidays Tech + tools provided Flexible, hybrid work environment Highly collaborative, flat organizational structure About Kontakt.io Kontakt.io is building a platform that care operations run on. We help reduce waste, cut costs, and improve throughput, asset utilization and staff productivity by leveraging AI, RTLS, and EHR data to automate workflows and optimize care delivery. Our platform is designed to be easy to deploy, scalable, and capable of delivering measurable ROI. #J-18808-Ljbffr Kontakt.io
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