Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with 9+ years of experience, focusing on Python, AWS SageMaker, PyTorch, and Google BigQuery. Contract length is unspecified, with a pay rate on W2. Key skills include machine learning, data engineering, and cloud technologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 30, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Texas, United States
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🧠 - Skills detailed
#Datasets #Python #ML (Machine Learning) #AI (Artificial Intelligence) #SageMaker #"ETL (Extract #Transform #Load)" #BigQuery #AWS SageMaker #Deployment #PyTorch #Data Science #Scala #AWS (Amazon Web Services) #Data Engineering #Cloud
Role description
Job Title: Senior Data Scientist
Experience: 9+ Years Must on w2
Job Description:
We are seeking a highly skilled and experienced Senior Data Scientist to lead advanced analytics and machine learning initiatives. The ideal candidate will have deep expertise in Python, AWS SageMaker, PyTorch, and Google BigQuery, and will be responsible for designing, developing, and deploying scalable data science solutions that drive business impact.
Key Responsibilities:
• Lead end-to-end development of machine learning models using Python and PyTorch.
• Build, train, and deploy models on AWS SageMaker, ensuring scalability and performance.
• Analyze large datasets using BigQuery to extract actionable insights and support model development.
• Collaborate with cross-functional teams including data engineering, product, and business stakeholders.
• Design and implement experiments to validate model performance and business impact.
• Mentor junior data scientists and contribute to best practices in model development and deployment.
• Stay updated with the latest trends in AI/ML and cloud technologies.
Job Title: Senior Data Scientist
Experience: 9+ Years Must on w2
Job Description:
We are seeking a highly skilled and experienced Senior Data Scientist to lead advanced analytics and machine learning initiatives. The ideal candidate will have deep expertise in Python, AWS SageMaker, PyTorch, and Google BigQuery, and will be responsible for designing, developing, and deploying scalable data science solutions that drive business impact.
Key Responsibilities:
• Lead end-to-end development of machine learning models using Python and PyTorch.
• Build, train, and deploy models on AWS SageMaker, ensuring scalability and performance.
• Analyze large datasets using BigQuery to extract actionable insights and support model development.
• Collaborate with cross-functional teams including data engineering, product, and business stakeholders.
• Design and implement experiments to validate model performance and business impact.
• Mentor junior data scientists and contribute to best practices in model development and deployment.
• Stay updated with the latest trends in AI/ML and cloud technologies.
