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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - Healthcare Data & Advanced Analytics in United - **Company:** Energy Jobline - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $165,000.0 - $185,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Big Data, Clinical Data Repository, Data Mining, Database Queries, Python (Programming Language), Machine Learning, Raw Data, Tensorflow, Microsoft Copilot, Standard Sql, Technical Data Management Systems, Transaction Data, Google Cloud, GitHub Copilot, Pytorch, Retrieval-Augmented Generation, Claude Code, Snowflake, Multi-Agent Systems, Information Technology, Machine Learning Operations, Evaluation of Large Language Models, Databricks - **Published:** October 2, 2026 - **Apply:** https://www.energyjobline.com/job/senior-data-scientist-healthcare-data-advanced-analytics-united-31827520 ## About the Role We are seeking a highly technical, hands-on Senior Data Scientist to develop advanced analytics and machine learning solutions using large-scale healthcare data., The ideal candidate will have deep experience working with large, messy healthcare datasets and will be comfortable owning the entire Data Science lifecycle: starting with a business question or hypothesis, sourcing and exploring the underlying data, assessing data quality, preparing datasets, selecting appropriate modeling techniques, developing and validating models, and partnering with engineering teams to move solutions toward production., We are not looking for someone whose experience is primarily focused on dashboards, reporting, or working with already-curated datasets. The strongest candidate will understand that effective Data Science begins with understanding the underlying data and its limitations., * 5+ years of professional experience in Data Science, Machine Learning, advanced analytics, or closely related technical data roles., * Strong experience working with large, messy, complex datasets. \n * Proven ability to source, combine, clean, structure, transform, and validate raw data. \n * Strong SQL skills. \n * Strong Python experience ; exceptional candidates with deep R and SQL expertise may also be considered. \n * Experience performing data exploration and identifying data quality deficiencies before modeling. \n * Strong predictive modeling and data mining experience. \n * Hands-on Machine Learning experience. \n * Ability to select appropriate modeling techniques based on the business problem and clearly explain why a particular methodology was selected., * Deep understanding of statistical and modeling methodologies rather than superficial familiarity with Data Science terminology., * Strong analytical curiosity and ability to ask thoughtful exploratory questions before jumping into a solution. \n * Ability to solve ambiguous, complex problems with limited supervision. \n * Strong communication skills with the ability to explain technical decisions and analytical findings to non-technical audiences. \n * Knowledge of healthcare data privacy and security requirements, including HIPAA. \n * Ability to speak in depth about technical accomplishments and explain the reasoning behind previous analytical and modeling decisions. \n, * Master's degree or PhD in Data Science, Statistics, Mathematics, Computer Science, Public Health, or another quantitative discipline. \n * Prior authorization experience. \n * Pharmacy, PBM, claims, payer, or broader healthcare ecosystem experience. \n * Experience working with healthcare transactional data at significant scale. \n * Google Cloud Platform (GCP) experience. \n * Experience with MLOps frameworks and environments such as GCP, Databricks, or Snowflake. \n * Experience with TensorFlow, PyTorch, or similar Machine Learning frameworks. \n * Advanced experience with Large Models or Natural Processing. \n * Experience with retrieval-augmented (RAG), LLM evaluation, fine-tuning, or AI orchestration. \n * Experience with AI-assisted development tools such as Claude Code, GitHub Copilot, Microsoft Copilot, or similar technologies. \n * Familiarity with responsible AI practices within regulated environments. ## Related Videos - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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