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About the Role

Seeking a Senior Data Scientist to design, develop, and deploy end-to-end AI/ML solutions for predictive modeling, risk stratification, behavioral analytics, and treatment pathway prediction. This role involves building advanced NLP, LLM, and RAG-based applications, as well as speech and conversational AI capabilities.

Responsibilities

Design, develop, and deploy end-to-end AI/ML solutions for predictive modeling, risk stratification, behavioral analytics, and treatment pathway prediction.
Build advanced NLP, LLM, and RAG-based applications, including prompt engineering, fine-tuning, and clinical AI guardrails for extracting insights from unstructured data.
Develop speech AI and conversational AI capabilities using ASR, sentiment analysis, intent classification, Text-to-SQL, and decision-support models to improve care outcomes.
Measure model performance through A/B testing, cohort analysis, explainability (SHAP/LIME), drift monitoring, and HIPAA-compliant governance.
Collaborate with Data Engineering to implement feature stores, MLflow, MLOps, CI/CD pipelines, and scalable real-time/batch inference solutions.
Mentor junior data scientists, evaluate emerging AI technologies, and drive the AI roadmap by translating advanced models into actionable healthcare solutions.

Requirements

7+ years of hands-on data science experience building and deploying predictive analytics, NLP, and Generative AI solutions in production, preferably within healthcare or other regulated industries.
Proven expertise across the entire machine learning lifecycle, including feature engineering, model development, deployment, monitoring, and optimization.
Advanced Python skills with pandas, NumPy, scikit-learn, PyTorch, and TensorFlow, along with classical ML techniques such as XGBoost, LightGBM, survival analysis, time-series forecasting, and deep learning.
Strong experience with LLMs, RAG architectures, transformer models (BERT/GPT), Hugging Face, LangChain, vector databases, and LLM fine-tuning and evaluation.
Hands-on expertise with NLP, speech AI, Databricks (Delta Lake, MLflow, Spark), AWS (S3, SageMaker, Bedrock, Redshift, Athena), SQL, Docker, Kubernetes, and MLOps practices.
Demonstrated leadership through mentoring, cross-functional collaboration, and the ability to communicate complex AI/ML insights to technical and business stakeholders while driving innovation and best practices.

Skills

Predictive Modeling
Risk Stratification
Behavioral Analytics
Treatment Pathway Prediction
NLP
LLM
RAG
Prompt Engineering
Fine-tuning
Clinical AI Guardrails
Speech AI
Conversational AI
ASR
Sentiment Analysis
Intent Classification
Text-to-SQL
Decision-support Models
A/B Testing
Cohort Analysis
Explainability (SHAP/LIME)
Drift Monitoring
HIPAA Compliance
Feature Stores
MLflow
MLOps
CI/CD Pipelines
Real-time Inference
Batch Inference
Python
Pandas
NumPy
Scikit-learn
PyTorch
TensorFlow
XGBoost
LightGBM
Survival Analysis
Time-series Forecasting
Deep Learning
Transformer Models (BERT/GPT)
Hugging Face
LangChain
Vector Databases
LLM Fine-tuning
LLM Evaluation
Speech AI
Databricks (Delta Lake, MLflow, Spark)
AWS (S3, SageMaker, Bedrock, Redshift, Athena)
SQL
Docker
Kubernetes

Work Type

Full-Time
FTE

Experience Level

Senior
7+ years