RED Global
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal Data Scientist with 10+ years of experience in healthcare analytics, specializing in Azure Machine Learning and Databricks. The contract length is unspecified, with a competitive pay rate. Strong consulting and MLOps skills are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 19, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Consulting #Strategy #Deployment #NLP (Natural Language Processing) #Clustering #Version Control #Predictive Modeling #Azure Machine Learning #Databricks #MLflow #Data Quality #ML (Machine Learning) #Delta Lake #AI (Artificial Intelligence) #Scala #Classification #Data Science #Data Pipeline #Monitoring #Model Validation #Azure #Regression
Role description
RED Global is seeking an experienced Principal Data Scientist with Healthcare/Life Sciences (HLS) expertise to support the design and delivery of advanced analytics, machine learning, and AI solutions.
The ideal candidate will combine a strong understanding of clinical and healthcare data with hands-on expertise in Azure Machine Learning and Databricks. This is a senior, client-facing consulting role requiring someone who can take ML solutions from experimentation through production while advising clinical, technical, and executive stakeholders.
Requirements
• 10+ years of experience across Data Science, Machine Learning, AI, healthcare analytics, or enterprise data platforms
• Strong Healthcare / Life Sciences experience, including clinical data, patient data, provider environments, healthcare operations, population health, or related HLS use cases
• Deep hands-on experience with Azure Machine Learning, including experimentation, model training, model registry, deployment, monitoring, evaluation, and lifecycle management
• Strong hands-on Databricks experience, including notebooks, feature engineering, MLflow, Delta Lake, and scalable data pipelines
• Strong applied machine learning experience across predictive modeling, NLP, classification, regression, clustering, feature engineering, experiment design, and model validation
• Experience taking ML solutions from development through production deployment and operationalization
• Strong MLOps experience, including CI/CD, version control, model registry, reproducibility, monitoring, and governance
• Experience assessing clinical and operational data quality, feature readiness, lineage, and data gaps
• Understanding of Responsible AI, including model explainability, bias, safety, drift, auditability, and governance within PHI-sensitive environments
• Ability to translate clinical and business problems into scalable data science and ML solutions
• Strong client-facing consulting and executive communication skills, with the ability to advise stakeholders on AI/ML strategy, risks, tradeoffs, and adoption
• Experience mentoring data scientists/engineers and establishing reusable ML patterns and delivery best practices
Important: Candidates may not use AI tools, chatbots, or AI-assisted applications during any phase of the interview process. Use of AI assistance will result in immediate termination of the interview.
NO CALLS or TEXTS PLEASE.
RED Global is seeking an experienced Principal Data Scientist with Healthcare/Life Sciences (HLS) expertise to support the design and delivery of advanced analytics, machine learning, and AI solutions.
The ideal candidate will combine a strong understanding of clinical and healthcare data with hands-on expertise in Azure Machine Learning and Databricks. This is a senior, client-facing consulting role requiring someone who can take ML solutions from experimentation through production while advising clinical, technical, and executive stakeholders.
Requirements
• 10+ years of experience across Data Science, Machine Learning, AI, healthcare analytics, or enterprise data platforms
• Strong Healthcare / Life Sciences experience, including clinical data, patient data, provider environments, healthcare operations, population health, or related HLS use cases
• Deep hands-on experience with Azure Machine Learning, including experimentation, model training, model registry, deployment, monitoring, evaluation, and lifecycle management
• Strong hands-on Databricks experience, including notebooks, feature engineering, MLflow, Delta Lake, and scalable data pipelines
• Strong applied machine learning experience across predictive modeling, NLP, classification, regression, clustering, feature engineering, experiment design, and model validation
• Experience taking ML solutions from development through production deployment and operationalization
• Strong MLOps experience, including CI/CD, version control, model registry, reproducibility, monitoring, and governance
• Experience assessing clinical and operational data quality, feature readiness, lineage, and data gaps
• Understanding of Responsible AI, including model explainability, bias, safety, drift, auditability, and governance within PHI-sensitive environments
• Ability to translate clinical and business problems into scalable data science and ML solutions
• Strong client-facing consulting and executive communication skills, with the ability to advise stakeholders on AI/ML strategy, risks, tradeoffs, and adoption
• Experience mentoring data scientists/engineers and establishing reusable ML patterns and delivery best practices
Important: Candidates may not use AI tools, chatbots, or AI-assisted applications during any phase of the interview process. Use of AI assistance will result in immediate termination of the interview.
NO CALLS or TEXTS PLEASE.
