Senior Data Scientist – Gen AI

About the job

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. - 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 executives. Qualifications 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 design. Preferred 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.

Requirements

• Gen AI
• NLP
• machine learning
• cloud platforms
• Python
• R

Qualifications

• Bachelor's degree in data science
• Statistics
• Computer Science
• Mathematics

Preferred Technologies

• Gen AI
• NLP
• machine learning
• cloud platforms
• Python
• R

About the company

Netsmart India strives to enhance healthcare outcomes through data-driven solutions. They focus on building innovative analytics and machine learning solutions to improve patient care.