Senior Data Scientist

Jobtailor; Colorado; On-site; USD 110,000 - 170,000; Full time

Job summary

Jobtailor in Colorado is seeking an experienced Data Scientist to develop advanced data science, ML, and AI solutions across healthcare clinical, operational, financial, and claims data. You will apply statistical methods, NLP, and LLM techniques to solve complex problems and design end-to-end AI workflows that move into production.

The role requires 5+ years of relevant experience, strong Python skills, and experience with cloud platforms such as AWS or Azure.

Qualifications

• Relevant degree preferred
• 5+ years of relevant experience required
• Proficiency in Python required; experience with R, SAS, or other analytical programming languages preferred
• Demonstrated experience applying statistical methods, machine learning, and predictive modeling to complex business or healthcare problems
• Experience developing or applying large language models, natural language processing, or generative AI solutions, including RAG, model evaluation, hallucination mitigation, or prompt optimization
• Experience developing AI/ML solutions that integrate with APIs, data pipelines, enterprise applications, analytics products, or data platforms
• Experience developing, deploying, or orchestrating AI/ML solutions within cloud-based environments such as AWS, Azure, Palantir Foundry, or comparable platforms strongly preferred
• Demonstrated ability to work with large, complex, and disparate datasets and translate data into scalable analytical solutions
• Experience communicating complex analytical concepts and findings to technical, business, and executive audiences and collaborating across engineering, product, technology, clinical, and business teams
• Experience with healthcare data, healthcare operations, finance, revenue cycle, clinical workflows, or hospital performance analytics strongly preferred, including exposure to claims, electronic medical record, financial, billing, or operational data and platforms such as Epic Clarity/Caboodle, Cerner CCL-Discern/PowerInsight, or Palantir Foundry

Responsibilities

• Develop advanced data science, ML, and AI solutions using diverse healthcare data
• Conduct exploratory and predictive analyses across large, disparate data sources
• Apply ML, NLP, and LLM techniques to healthcare and business problems
• Design and refine LLM-enabled workflows including RAG, prompts, and model evaluation
• Develop AI/ML workflows for production applications and data platforms
• Translate data into standardized, usable assets for analytics
• Integrate LLMs and ML models with APIs and data pipelines
• Collaborate with product, engineering, clinical, and business teams
• Evaluate data quality and model performance; troubleshoot issues in production
• Communicate findings clearly to technical and non-technical stakeholders

Skills

Python Proficiency

Machine Learning Application

Natural Language Processing Experience

AI/ML Workflow Development

Healthcare Data Expertise

Statistical Modeling

Data Analysis

Large Language Models

Generative AI Solutions

API Integration

Data Processing

Model Evaluation

Cloud-Based Environments

Data Pipeline Development

Education

Relevant degree preferred

Tools

AWS

Azure

Palantir Foundry

Epic Clarity

Cerner CCL-Discern

Job description

• Develop advanced data science, machine learning, and AI solutions using complex healthcare clinical, operational, financial, claims, and electronic medical record data


• Conduct exploratory and predictive analyses across large, disparate data sources to identify patterns, generate hypotheses, evaluate performance, and uncover opportunities for improvement


• Apply statistical modeling, machine learning, natural language processing, and large language model techniques to solve complex healthcare and business problems


• Design, develop, evaluate, and refine LLM-enabled workflows, including retrieval-augmented generation (RAG), prompt optimization, model evaluation, and techniques that improve the accuracy and reliability of AI-generated outputs


• Develop AI/ML workflows supporting production applications, analytics products, and data platforms through model orchestration, API integration, data processing, deployment, and optimization


• Translate raw clinical, financial, operational, and client data into standardized, enriched, and analytically useful data assets


• Integrate LLMs and machine learning models with APIs, data pipelines, enterprise applications, and other technology platforms to move solutions into production


• Partner with product, engineering, technology, clinical, and business clients to translate requirements into statistical, machine learning, and AI approaches


• Evaluate data quality, model performance, and analytical outputs and troubleshoot issues across data, AI/ML workflows, and production solutions


• Communicate analytical approaches, findings, limitations, and recommendations to technical and non-technical audiences and contribute best practices

Requirements

• Relevant degree preferred


• 5 or more years of relevant experience required


• Proficiency in Python required; experience with R, SAS, or other analytical programming languages preferred


• Demonstrated experience applying statistical methods, machine learning, and predictive modeling to complex business or healthcare problems


• Experience developing or applying large language models, natural language processing, or generative AI solutions, including RAG, model evaluation, hallucination mitigation, or prompt optimization


• Experience developing AI/ML solutions that integrate with APIs, data pipelines, enterprise applications, analytics products, or data platforms


• Experience developing, deploying, or orchestrating AI/ML solutions within cloud-based environments such as AWS, Azure, Palantir Foundry, or comparable platforms strongly preferred


• Demonstrated ability to work with large, complex, and disparate datasets and translate data into scalable analytical solutions


• Experience communicating complex analytical concepts and findings to technical, business, and executive audiences and collaborating across engineering, product, technology, clinical, and business teams


• Experience with healthcare data, healthcare operations, finance, revenue cycle, clinical workflows, or hospital performance analytics strongly preferred, including exposure to claims, electronic medical record, financial, billing, or operational data and platforms such as Epic Clarity/Caboodle, Cerner CCL-Discern/PowerInsight, or Palantir Foundry

Core Competencies

Demonstrates expertise in developing and deploying advanced AI and machine learning solutions within healthcare, utilizing statistical modeling, natural language processing, and large language models. Proficient in translating complex datasets into actionable insights while effectively communicating findings to diverse audiences.

Highest-signal resume keywords

• Python Proficiency


• Machine Learning Application


• Natural Language Processing Experience


• AI/ML Workflow Development


• Healthcare Data Expertise

Hard Skills

• Statistical Modeling


• Predictive Modeling


• Data Analysis


• Large Language Models


• Generative AI Solutions


• API Integration


• Data Processing


• Model Evaluation


• Cloud-Based Environments


• Data Pipeline Development

Soft Skills

• Communication Skills


• Collaboration


• Problem Solving

Industry Keywords

• Healthcare Data


• Clinical Workflows


• Revenue Cycle


• Operational Data


• Electronic Medical Records

Tools & Technologies

• AWS


• Azure


• Palantir Foundry


• Epic Clarity


• Cerner CCL-Discern