Job Title

Job Summary:We are seeking a Senior Data Scientist – Gen AI with hands-on experience in building and deploying data-driven solutions. You will work closely with cross-functional teams to extract insights, develop machine learning models, and deploy scalable analytics solutions across various cloud platforms. As a Senior Data Scientist – Gen AI, you’ll play a key role in harnessing data to drive better outcomes, improve performance, and enhance the lives of those served by our clients.Key Responsibilities:• The ability to design and develop ML, Gen AI, NLP, LLM Models for AI data pipelines. Model components will include data ingestion, preprocessing, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering.• Analyze large, complex healthcare datasets including electronic health records (EHR) and claims data• Develop statistical models for patient risk stratification, treatment optimization, population health management, and revenue cycle optimization• Build models for clinical decision support, patient outcome prediction, care quality improvement, and revenue cycle optimization• Create and maintain automated data pipelines for real-time analytics and reporting • Work with healthcare data standards (HL7 FHIR, ICD-10, CPT, SNOMED CT) and ensure regulatory compliance • Develop and deploy models in cloud environments while creating visualizations for stakeholders • Present findings and recommendations to cross-functional teams including clinicians, product managers, and executivesQualifications required:• Bachelor's degree in data science, Statistics, Computer Science, Mathematics, or related quantitative field• 5-7 years of hands-on experience in data science, analytics, or machine learning roles• Knowledge of ML Ops practices deploying and operationalize AI models. • Familiarity with cloud platforms (Azure, AWS, GCP) and containerized deployments (Docker, Kubernetes).• Demonstrated experience working with large datasets and statistical modeling• Proficiency in Python or R for data analysis and machine learning• Experience with SQL and database management systems• Knowledge of machine learning frameworks such as scikit-learn, TensorFlow, PyTorch• Familiarity with data visualization tools such as Tableau, Power BI, matplotlib, ggplot2• Experience with version control systems (Git) and collaborative development practices• Strong foundation in statistics, hypothesis testing, and experimental designPreferred Skills:• At least 1 year of experience working with healthcare data or in healthcare IT environments• Familiarity with electronic health record (EHR) systems and healthcare workflows• Understanding of healthcare data privacy regulations (HIPAA, HITECH)• Knowledge of clinical data standards and interoperability frameworks• Knowledge of MLOps practices and model deployment pipelines• Familiarity with natural language processing for clinical text analysis• Experience with time series analysis for patient monitoring data