Curate Partners
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 4–8 years of experience in healthcare analytics. Contract length is unspecified, with a pay rate of "unknown." Key skills include Python, SQL, machine learning, and Generative AI. A Master’s degree in a related field is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 24, 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
#"ETL (Extract #Transform #Load)" #Datasets #Data Extraction #Data Pipeline #Data Quality #SQL (Structured Query Language) #Mathematics #Automation #Compliance #Data Mining #Statistics #Predictive Modeling #ML (Machine Learning) #Python #Data Science #Computer Science #AI (Artificial Intelligence)
Role description
Our healthcare client is seeking a Data Scientist with 4–8 years of experience designing and deploying advanced analytics, machine learning, and AI-driven solutions. This individual will work with large, complex healthcare datasets to develop predictive models, generate actionable insights, and support data-informed business and clinical decision-making. The ideal candidate will have strong hands-on experience with Python, SQL, machine learning, Generative AI, and Agentic AI, along with the ability to translate technical findings into meaningful business outcomes. A Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field is required. Experience working in healthcare, including claims, clinical, provider, or member data, is strongly preferred.
• To be considered for this opportunity, candidates must be willing to complete a technical assessment prior to submission.
Key Responsibilities
• Design, build, and deploy machine learning and statistical models to solve complex business problems
• Analyze structured and unstructured healthcare data to identify trends, risks, and opportunities
• Develop and optimize data pipelines, feature engineering processes, and model performance
• Leverage Python and SQL for data extraction, analysis, modeling, and automation
• Apply Generative AI and Agentic AI capabilities to support intelligent workflows, automation, and decision support solutions
• Partner with cross-functional teams including business stakeholders, product teams, engineers, and analytics leaders
• Communicate technical findings and recommendations to both technical and non-technical audiences
• Ensure data quality, model governance, and compliance with healthcare data standards and privacy requirements
Required Qualifications
• 4–8 years of experience in data science, machine learning, or advanced analytics roles
• Strong hands-on experience with Python and SQL
• Experience building and deploying machine learning models in production environments
• Exposure to or experience with Generative AI and Agentic AI solutions
• Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Strong understanding of statistical analysis, predictive modeling, and data mining techniques
• Ability to work independently and collaboratively in a fast-paced environment
• Excellent communication and stakeholder management skills
Our healthcare client is seeking a Data Scientist with 4–8 years of experience designing and deploying advanced analytics, machine learning, and AI-driven solutions. This individual will work with large, complex healthcare datasets to develop predictive models, generate actionable insights, and support data-informed business and clinical decision-making. The ideal candidate will have strong hands-on experience with Python, SQL, machine learning, Generative AI, and Agentic AI, along with the ability to translate technical findings into meaningful business outcomes. A Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field is required. Experience working in healthcare, including claims, clinical, provider, or member data, is strongly preferred.
• To be considered for this opportunity, candidates must be willing to complete a technical assessment prior to submission.
Key Responsibilities
• Design, build, and deploy machine learning and statistical models to solve complex business problems
• Analyze structured and unstructured healthcare data to identify trends, risks, and opportunities
• Develop and optimize data pipelines, feature engineering processes, and model performance
• Leverage Python and SQL for data extraction, analysis, modeling, and automation
• Apply Generative AI and Agentic AI capabilities to support intelligent workflows, automation, and decision support solutions
• Partner with cross-functional teams including business stakeholders, product teams, engineers, and analytics leaders
• Communicate technical findings and recommendations to both technical and non-technical audiences
• Ensure data quality, model governance, and compliance with healthcare data standards and privacy requirements
Required Qualifications
• 4–8 years of experience in data science, machine learning, or advanced analytics roles
• Strong hands-on experience with Python and SQL
• Experience building and deploying machine learning models in production environments
• Exposure to or experience with Generative AI and Agentic AI solutions
• Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Strong understanding of statistical analysis, predictive modeling, and data mining techniques
• Ability to work independently and collaboratively in a fast-paced environment
• Excellent communication and stakeholder management skills
