Curate Partners
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist on a contract basis, requiring 3+ years of experience in Data Science and proficiency in Python and SQL. Preferred candidates will have healthcare industry experience and familiarity with LLMs and Generative AI technologies.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
August 6, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Azure #Mathematics #ML (Machine Learning) #AI (Artificial Intelligence) #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Forecasting #Python #Clustering #Libraries #Datasets #BI (Business Intelligence) #Security #Tableau #AWS (Amazon Web Services) #TensorFlow #Microsoft Power BI #Regression #Scala #Visualization #Statistics #Data Analysis #Classification #Data Quality #GCP (Google Cloud Platform) #PyTorch #Computer Science #Data Science #Cloud
Role description
• THIS POSITION REQUIRES WORKING DIRECTLY ON OUR W2 (F1 OPT, USC, GC, H4)
NO THIRD PARTY!
Data Scientist
We are seeking a Data Scientist to join a growing analytics and AI team focused on solving complex business challenges through data-driven insights. This individual will leverage statistical analysis, machine learning, and generative AI technologies to develop scalable solutions, drive decision-making, and uncover opportunities across large and diverse datasets.
Responsibilities
• Analyze structured and unstructured data to identify trends, patterns, and actionable insights.
• Develop, test, and deploy predictive models, machine learning algorithms, and advanced analytical solutions.
• Use SQL and Python to extract, transform, and analyze large-scale datasets.
• Design and execute statistical analyses, including hypothesis testing, regression modeling, forecasting, and experimentation.
• Build and evaluate LLM-powered and Generative AI solutions to support business and operational objectives.
• Partner with cross-functional stakeholders to understand business needs and translate them into analytical approaches.
• Present findings and recommendations to technical and non-technical audiences.
• Monitor model performance and recommend improvements based on results and business outcomes.
• Maintain data quality and adhere to enterprise governance and security standards.
Required Qualifications
• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.
• 3+ years of experience in Data Science, Machine Learning, or Advanced Analytics.
• Strong proficiency in Python for data analysis, machine learning, and model development.
• Advanced SQL skills with experience working with large and complex datasets.
• Hands-on experience with Large Language Models (LLMs) and Generative AI technologies.
• Strong foundation in statistical analysis, including hypothesis testing, regression, classification, clustering, and experimental design.
• Experience building and validating machine learning models.
• Strong problem-solving, analytical, and communication skills.
Preferred Qualifications
• Experience working with healthcare, insurance, pharmacy, clinical, or related datasets.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with prompt engineering, RAG architectures, AI agents, or GenAI application development.
• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Experience with data visualization tools such as Tableau, Power BI, or Python visualization libraries.
Nice-to-Have: Healthcare domain knowledge, payer/provider experience, pharmacy analytics, clinical data, or population health analytics.
• THIS POSITION REQUIRES WORKING DIRECTLY ON OUR W2 (F1 OPT, USC, GC, H4)
NO THIRD PARTY!
Data Scientist
We are seeking a Data Scientist to join a growing analytics and AI team focused on solving complex business challenges through data-driven insights. This individual will leverage statistical analysis, machine learning, and generative AI technologies to develop scalable solutions, drive decision-making, and uncover opportunities across large and diverse datasets.
Responsibilities
• Analyze structured and unstructured data to identify trends, patterns, and actionable insights.
• Develop, test, and deploy predictive models, machine learning algorithms, and advanced analytical solutions.
• Use SQL and Python to extract, transform, and analyze large-scale datasets.
• Design and execute statistical analyses, including hypothesis testing, regression modeling, forecasting, and experimentation.
• Build and evaluate LLM-powered and Generative AI solutions to support business and operational objectives.
• Partner with cross-functional stakeholders to understand business needs and translate them into analytical approaches.
• Present findings and recommendations to technical and non-technical audiences.
• Monitor model performance and recommend improvements based on results and business outcomes.
• Maintain data quality and adhere to enterprise governance and security standards.
Required Qualifications
• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.
• 3+ years of experience in Data Science, Machine Learning, or Advanced Analytics.
• Strong proficiency in Python for data analysis, machine learning, and model development.
• Advanced SQL skills with experience working with large and complex datasets.
• Hands-on experience with Large Language Models (LLMs) and Generative AI technologies.
• Strong foundation in statistical analysis, including hypothesis testing, regression, classification, clustering, and experimental design.
• Experience building and validating machine learning models.
• Strong problem-solving, analytical, and communication skills.
Preferred Qualifications
• Experience working with healthcare, insurance, pharmacy, clinical, or related datasets.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with prompt engineering, RAG architectures, AI agents, or GenAI application development.
• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Experience with data visualization tools such as Tableau, Power BI, or Python visualization libraries.
Nice-to-Have: Healthcare domain knowledge, payer/provider experience, pharmacy analytics, clinical data, or population health analytics.
