Senior Data Scientist

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, youll 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

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