Principle Data Scientist

Job Description We are seeking an exceptionally talented, highly inquisitive, and execution-oriented Principal Data Scientist & AI Innovation Consultant to drive innovative, high-impact analytical and data science initiatives across our client's Clinical Data Science organization. We are seeking an exceptionally talented, highly inquisitive, and execution-oriented Principal Data Scientist & AI Innovation Consultant to drive innovative, high-impact analytical and data science initiatives across our client's Clinical Data Science organization. This role is designed for a senior-level technical expert and researcher with deep expertise in advanced machine learning, analytics, and applied data science. The ideal candidate will have experience with modern AI approaches, including large language models (LLMs), generative AI, agentic AI frameworks, and applied AI solution design within complex healthcare environments. Experience applying these tools alongside causal inference methodologies is required; experience in causal discovery is a plus. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 10+ years of experience in data science, machine learning, advanced analytics, or AI solution development Experience in healthcare, Medicare, Medicare Advantage, or other similar healthcare regulated environments Proven track record building and deploying AI/ML models in real-world, production environments Strong expertise in predictive modeling, advanced analytics, NLP, transformer-based models, generative AI (LLMs, RAG, agentic frameworks, orchestration), and AI evaluation methodologies Deep, hands-on experience with Google Cloud Platform (GCP), including Vertex AI, BigQuery, Cloud Storage, and AI/ML pipelines, orchestration, and deployment Strong programming skills in Python, SQL, and Spark/PySpark Experience working with modern machine learning frameworks, generative AI tools, APIs, and AI tooling ecosystems Solid MLOps experience including CI/CD pipelines, model deployment, monitoring, versioning, experiment tracking, and reproducibility Proven experience building and deploying scalable AI/ML solutions in GCP/Vertex AI enterprise environments Experience with distributed data processing and enterprise-scale analytics systems Exposure to causal inference and/or causal discovery methodologies Experience working cross-functionally with data engineering, MLOps, and AI product teams