Senior Data Scientist

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 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