Senior Data Scientist (W2 Role)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist (W2) with a contract length of 6+ months, offering remote work. Key skills include Python, SQL, and machine learning expertise, particularly in healthcare data analysis. A Bachelor's degree and 5+ years of relevant experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 27, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Spark (Apache Spark) #Databricks #Regression #Spark SQL #Logistic Regression #ML (Machine Learning) #R #SageMaker #AI (Artificial Intelligence) #SQL (Structured Query Language) #Statistics #Docker #MLflow #PySpark #GitHub #Data Analysis #Data Science #Python #SAS #Complex Queries
Role description
Title: Senior Data Scientist
Duration: 6+ months (Temp-to-Perm)
Location: Remote
Education:
• Bachelor's Degree in data science, or related field
Required Experience:
• 5 + years of experience developing machine learning models and engineering features using Python, PySpark, SQL, R, Databricks, Machine learning with regularization models (especially LASSO), and other packages in Amazon SageMaker AI
• Able to create complex queries in SQL for testing and data analysis
• Experience developing ML pipelines and with ML Operations
• Experience with Model Tuning and Governance
• Experience with the following tools: MLFlow, GitHub, Docker
• Must be able to work with engineering teams to source the right data, evaluate system performance
• Problem-solving attitude
• Logistic regression
• Well-versed in statistical theory
• Generalized estimating equations
Preferred Experience:
• Data Science experience with healthcare and/or claims analysis
• Statistics background and knowledge of queuing theory
• SAS
Title: Senior Data Scientist
Duration: 6+ months (Temp-to-Perm)
Location: Remote
Education:
• Bachelor's Degree in data science, or related field
Required Experience:
• 5 + years of experience developing machine learning models and engineering features using Python, PySpark, SQL, R, Databricks, Machine learning with regularization models (especially LASSO), and other packages in Amazon SageMaker AI
• Able to create complex queries in SQL for testing and data analysis
• Experience developing ML pipelines and with ML Operations
• Experience with Model Tuning and Governance
• Experience with the following tools: MLFlow, GitHub, Docker
• Must be able to work with engineering teams to source the right data, evaluate system performance
• Problem-solving attitude
• Logistic regression
• Well-versed in statistical theory
• Generalized estimating equations
Preferred Experience:
• Data Science experience with healthcare and/or claims analysis
• Statistics background and knowledge of queuing theory
• SAS
