> Markdown version of [/jobs/ext/2004570-senior-data-scientist](https://www.wearedevelopers.com/jobs/ext/2004570-senior-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Prominence Advisors - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Software Applications, Microsoft Azure, BigQuery, Cloud Database, Continuous Integration, Data Mining, Data Visualization, Python (Programming Language), Machine Learning, NumPy, Performance Tuning, Power BI, Azure Machine Learning, SQL Databases, Tableau (Software), Feature Engineering, Fast Healthcare Interoperability Resources, Large Language Models, Snowflake, Prompt Engineering, Generative AI, Pandas, Scikit Learn, Information Technology, Health Level Seven International, Machine Learning Operations, Looker Analytics, Software Version Control, Databricks - **Published:** August 9, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/oh35jy19es ## About the Role * 3-5+ years of professional experience in data science, machine learning, or a closely related quantitative role. * Strong proficiency in Python for data science (pandas, NumPy, scikit-learn) and SQL for data extraction and manipulation. * Hands-on experience building, validating, and deploying machine learning models (classification, regression, clustering, time-series forecasting). * Experience with MLOps best practices (model versioning, CI/CD for ML, experiment tracking with MLflow or similar, continuous monitoring) * Practical experience building AI-powered solutions using LLM APIs, prompt engineering, and RAG pipelines. * Experience with cloud-based data and ML platforms, including at least one of the following: AWS (SageMaker, Redshift, S3), Azure (Azure ML, Synapse, Data Factory), GCP (Vertex AI, BigQuery), Databricks, or Snowflake. * Strong communication skills with the ability to present technical findings to non-technical audiences, * Healthcare industry knowledge and experience including EHR data, claims, HL7/FHIR, clinical terminologies. * Experience with population health analytics, risk stratification, or social determinants of health. * Understanding of research enablement workflows including cohort identification, clinical trial matching, and outcomes research. * Experience with vector databases, embeddings, fine-tuning, or LLM evaluation frameworks. * Familiarity with data visualization and BI tools (Tableau, Power BI, or Looker). * Revenue cycle, staffing optimization, or other operational analytics experience. * Advanced degree (Master's or PhD) in a quantitative field such as computer science, statistics, biostatistics, or a related discipline Skills, Knowledge, And Abilities * Professional: Demonstrates a high degree of professionalism by treating others with respect, keeping commitments, building trust within the team, working with integrity, and upholding organizational values ("Do Great Work and Move Mountains"). * Organized: Capable of managing multi-faceted work streams efficiently, ensuring smooth project flow. * Self-Motivated: Adept at managing personal schedules, meeting deadlines, and monitoring work quality independently. * Highly Adaptable: Quickly acclimates to new project assignments and diverse work environments. * Creative: Approaches problems with a solution-oriented mindset, working collaboratively to find novel solutions. * Communication: Effectively conveys clear and concise messages that resonate with the intended audience, both in written and verbal forms. * Proactive: Anticipates potential issues, addresses concerns before they escalate, and effectively raises them when necessary. * Team-Oriented: Passionate about mentoring and guiding others, thrives in a team-based environment. Physical and Medical Standards, Working Conditions and Environment * Must be able to sit or stand at a computer and work remotely and independently from personal home office * Willingness to travel for onsite meetings and business reviews as needed, Must be legally authorized to work in the United States without sponsorship. ## Description Prominence is looking for a Senior Data Scientist with deep experience in applied machine learning, statistical modeling, and generative AI to help deliver advanced analytics solutions alongside some of the nation's leading healthcare providers. This role will design, build, and deploy models and AI-powered applications that help healthcare organizations improve patient outcomes, optimize operations, and accelerate research. Helping our customers harness the power of generative AI by building LLM-powered applications that unlock new possibilities for clinical and operational workflows. * Design, build, validate, and deploy machine learning models across the full data science lifecycle, including exploratory analysis, feature engineering, model development, validation, deployment, and monitoring * Develop advanced analytics solutions for clinical prediction, population health, operational optimization, and research enablement * Build AI-powered applications leveraging LLM APIs, prompt engineering, and RAG pipelines to support clinical and operational workflows * Ability to work with diverse healthcare data sources including EHRs, claims, and clinical registries. * Translate complex analytical findings into meaningful, actionable insights for clinical and operational stakeholders * Manage documentation of best practices and scalable frameworks that can be applied across client engagements * Mentor and guide client counterparts to build the skills needed to sustain and expand on project deliverables ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Vectorize all the things! 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