Netsmart Healthcare Solutions India Private Limited
Senior Data Scientist – GenAI
Senior data scientist building and deploying ML, GenAI, NLP and LLM solutions (RAG, fine-tuning, prompt engineering) for healthcare — analyzing EHR and claims data for risk stratification, clinical decision support, and revenue-cycle analytics. Core stack: Python/R, SQL, cloud platforms, Docker/Kubernetes, Hugging Face, LangChain, vector databases.
- Compensation
- Not disclosed
- Location
- Bengaluru, India
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Contract
- Experience
- 5+ years
- Category
- Data science
- Posted
Skills
Must have
- 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
- At least 5 years of hands-on experience with pretrained language models (GPT, BERT, T5), including fine-tuning, prompt engineering, model evaluation; Claude and Llama; RAG techniques
- Proficiency with generative AI frameworks such as Hugging Face Transformers, LangChain, OpenAI API
- Experience designing, testing, and optimizing prompts for text generation, summarization, classification, and conversational AI
- Knowledge of vector similarity search, embedding models, and vector databases (Pinecone, Weaviate, Chroma)
- Experience with generative model evaluation (BLEU, ROUGE, human evaluation, bias detection)
- Familiarity with multi-modal generative models and vision-language models
- Understanding of responsible AI: content filtering, bias mitigation, hallucination detection
- Knowledge of MLOps practices for deploying and operationalizing 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 ML frameworks such as scikit-learn, TensorFlow, PyTorch
- Familiarity with data visualization tools such as Tableau, Power BI, matplotlib, ggplot2
Nice to have
- At least 1 year of experience working with healthcare data or in healthcare IT environments
- Familiarity with EHR systems and healthcare workflows
- Understanding of healthcare data privacy regulations (HIPAA, HITECH)
- Knowledge of clinical data standards and interoperability frameworks
- Familiarity with NLP for clinical text analysis
- Experience with time series analysis for patient monitoring data
Full description
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