Senior Data Scientist

Senior Data Scientist
Fully REMOTE - working mostly East Coast/Central hours
Compensation up to $190,000 depending on location, experience and skills
Join a growing AI and Data Science team focused on developing advanced machine learning, predictive analytics, natural language processing, and generative AI solutions that improve outcomes, drive operational performance, and support data-driven decision making in a healthcare environment. This Senior Data Scientist must have experience with Healthcare, Insurance and HIPAA.
This role is responsible for leading the design, development, and deployment of predictive models, AI applications, and advanced analytics solutions. The ideal candidate has deep expertise in machine learning, NLP, and generative AI, with experience taking solutions from research and experimentation through production deployment and ongoing optimization.
Responsibilities:
- Develop and deploy predictive models for risk prediction, behavioral engagement, outcome forecasting, and scoring frameworks.
- Lead the end-to-end data science lifecycle including feature engineering, model development, validation, deployment, monitoring, and performance optimization.
- Build NLP and generative AI solutions that extract actionable insights from clinical and operational text data.
- Design and implement LLM-powered applications utilizing RAG architectures, prompt engineering, vector databases, model evaluation, and AI guardrails.
- Develop speech and audio analytics solutions including automatic speech recognition (ASR), speaker diarization, sentiment analysis, and emotion detection.
- Create conversational AI and decision-support tools that deliver actionable recommendations and business insights.
- Conduct experimentation, A/B testing, cohort analysis, and statistical evaluations to measure program effectiveness and business impact.
- Drive model explainability, governance, fairness, and monitoring initiatives, including drift detection and performance management.
- Collaborate with Data Engineering and ML Operations teams to support feature stores, scoring pipelines, MLOps workflows, model registries, and CI/CD processes.
- Mentor junior data scientists and contribute to the organization's AI strategy, technical standards, and innovation roadmap.
Requirements:
- Master's degree in Data Science, Statistics, Computer Science, Machine Learning, Computational Linguistics, Mathematics, or a related quantitative field. PhD preferred.
- 7+ years of experience developing and deploying machine learning, NLP, and AI solutions in production environments.
- Healthcare, managed care, health plan, payer, insurance, or other healthcare analytics experience required.
- Proven success delivering end-to-end data science solutions from concept through deployment and ongoing monitoring.
- Experience mentoring team members and contributing to technical best practices.
- Expert-level Python including pandas, NumPy, scikit-learn, PyTorch, and/or TensorFlow.
- Strong experience with machine learning techniques including XGBoost, LightGBM, regularized regression, survival analysis, time-series forecasting, causal inference, reinforcement learning, and advanced statistical modeling.
- Hands-on experience with LLMs, RAG frameworks, Hugging Face, LangChain, transformer models (BERT, GPT), vector databases, model fine-tuning, and evaluation techniques.
- Experience with NLP platforms including spaCy, scispaCy, MedSpaCy, and related healthcare NLP technologies.
- Knowledge of speech and audio machine learning including ASR, speaker diarization, sentiment analysis, and emotion detection.
- Experience with Databricks, Delta Lake, MLflow, Spark, and cloud platforms including AWS services such as S3, SageMaker, Bedrock, Redshift, and Athena.
- Strong SQL skills with experience working across relational, NoSQL, and data lakehouse environments.
- Familiarity with Docker, Kubernetes, MLOps, model governance, CI/CD, experiment tracking, and model monitoring frameworks.
This position is ideal for a senior-level data scientist with healthcare, insurance and HIPAA experience, who enjoys building production-grade AI solutions, leveraging cutting-edge machine learning technologies, and delivering measurable impact through advanced analytics and intelligent automation.

Benefits

Medical/Dental/Vision
401K with 40% match up to first 6% of associated contributions
PTO, Holidays, Personal Days, Community Service Day