# Senior Data Scientist

**Company:** [Enable Data Incorporated](http://jobs.workable.com/companies/kv32m8kPLEQKxhvJiTifAm.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time
**Department:** Data Engineering

[Apply for this job](http://jobs.workable.com/view/e1176188-52f4-4b23-92dc-a3a6347a9052)

## Description

Immediate Full-Time Position for Senior Data Scientist (This will be FTE only)

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.