Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 4+ years of experience, proficient in Python, PySpark, and Azure Machine Learning. It’s a 6-month remote contract starting August 2025, with an hourly rate of $45/hr W2, depending on experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
360
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🗓️ - Date discovered
August 12, 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
San Jose, CA
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🧠 - Skills detailed
#Python #Azure Machine Learning #Data Science #Generative Models #Libraries #Azure #Consulting #"ETL (Extract #Transform #Load)" #Leadership #PyTorch #Spark (Apache Spark) #Data Analysis #TensorFlow #Datasets #PySpark #ML (Machine Learning)
Role description
We're seeking a Data Scientist for a consulting position for our growing, global client.
• Start date: August 2025
• Duration: DIRECT W2 contract, 6 months; no third party vendors
• Location: Remote from the United States, supporting the Pacific Time zone
• Compensation: The hourly rate for a qualified candidate is expected to start around $45/ hr W2 plus benefits, DOE depending on experience. The offered compensation to a successful candidate will be dependent on several factors that may include (but are not limited to) the type and length of experience within the industry, education, etc.
Job Description:
• 4+ years of experience as a Data Scientist
• Proficient in development with Python and PySpark
• Experience with Azure Machine Learning
• Experience in developing ETL processes
• Experience in developing analytics
• Knowledge of ML libraries: TensorFlow, PyTorch, Scikit-Learn, etc.
• Strong foundations in ML models and metrics to evaluate effectiveness
• Solid experience in software development applying ML algorithms
• Experience in ML operations with emphasis on MLOps
• Experience conducting exploratory data analysis and identifying insights, as well as proposing possible root causes
• Experience validating results
• Experience presenting findings to business stakeholders
• Skills in management, communication, leadership, teamwork, problem-solving, critical thinking, and strong negotiation abilities
Responsibilities:
• Analyze datasets to discover trends and insights that drive business decisions
• Develop predictive and generative models using statistical, machine learning, and LLM techniques
• Evaluate, refine, and optimize LLM models for domain-specific applications, integrating them into analytical solutions
• Iteratively develop LLM-based solutions, including building knowledge bases, datasets, and performance evaluation methodologies
• Present findings and recommendations to stakeholders
• Ensure all deliverables meet governance standards and best practices in Advanced Analytics
•
• Please apply today!
•
•
We're seeking a Data Scientist for a consulting position for our growing, global client.
• Start date: August 2025
• Duration: DIRECT W2 contract, 6 months; no third party vendors
• Location: Remote from the United States, supporting the Pacific Time zone
• Compensation: The hourly rate for a qualified candidate is expected to start around $45/ hr W2 plus benefits, DOE depending on experience. The offered compensation to a successful candidate will be dependent on several factors that may include (but are not limited to) the type and length of experience within the industry, education, etc.
Job Description:
• 4+ years of experience as a Data Scientist
• Proficient in development with Python and PySpark
• Experience with Azure Machine Learning
• Experience in developing ETL processes
• Experience in developing analytics
• Knowledge of ML libraries: TensorFlow, PyTorch, Scikit-Learn, etc.
• Strong foundations in ML models and metrics to evaluate effectiveness
• Solid experience in software development applying ML algorithms
• Experience in ML operations with emphasis on MLOps
• Experience conducting exploratory data analysis and identifying insights, as well as proposing possible root causes
• Experience validating results
• Experience presenting findings to business stakeholders
• Skills in management, communication, leadership, teamwork, problem-solving, critical thinking, and strong negotiation abilities
Responsibilities:
• Analyze datasets to discover trends and insights that drive business decisions
• Develop predictive and generative models using statistical, machine learning, and LLM techniques
• Evaluate, refine, and optimize LLM models for domain-specific applications, integrating them into analytical solutions
• Iteratively develop LLM-based solutions, including building knowledge bases, datasets, and performance evaluation methodologies
• Present findings and recommendations to stakeholders
• Ensure all deliverables meet governance standards and best practices in Advanced Analytics
•
• Please apply today!
•
•
