Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist II position for a remote contract in the healthcare domain, requiring expertise in Python, R, machine learning frameworks, and cloud platforms. Candidates must have healthcare data analysis experience and knowledge of ethical AI practices.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 15, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#NoSQL #Microsoft Power BI #Keras #Tableau #GCP (Google Cloud Platform) #TensorFlow #PyTorch #ML (Machine Learning) #Data Cleaning #BI (Business Intelligence) #AI (Artificial Intelligence) #Visualization #Monitoring #Spark (Apache Spark) #AWS (Amazon Web Services) #Python #Cloud #Matplotlib #Programming #Data Science #Data Analysis #Data Wrangling #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #NLP (Natural Language Processing) #R #Azure
Role description
Position: Data Scientist II
Location: Remote (EST Zone)
Visa's Accepted: USC,GC,GC-EAD,H4-EAD
Client Domain - Healthcare
Technical Skills
• Programming Languages: Python, R
• Machine Learning Frameworks: TensorFlow, PyTorch, Keras, Spark MLlib
• Statistical & Data Analysis: Statistical modeling, predictive analytics, hypothesis testing
• Database Skills: SQL, NoSQL
• Data Wrangling: Data cleaning, transformation, feature engineering
• Cloud Platforms: AWS, Azure, or GCP (for data science and AI workloads)
• AI & Advanced Models: Experience with LLMs (Large Language Models), NLP techniques
• Data Visualization: Tools like Tableau, Power BI, Matplotlib, Seaborn
• Model Maintenance: Model monitoring, retraining, performance tuning
Domain & Industry Knowledge
• Healthcare Data Analysis: Understanding of healthcare operations and patient outcome metrics
• Operational Efficiency in Healthcare
• Ethical AI & Responsible Data Practices
Position: Data Scientist II
Location: Remote (EST Zone)
Visa's Accepted: USC,GC,GC-EAD,H4-EAD
Client Domain - Healthcare
Technical Skills
• Programming Languages: Python, R
• Machine Learning Frameworks: TensorFlow, PyTorch, Keras, Spark MLlib
• Statistical & Data Analysis: Statistical modeling, predictive analytics, hypothesis testing
• Database Skills: SQL, NoSQL
• Data Wrangling: Data cleaning, transformation, feature engineering
• Cloud Platforms: AWS, Azure, or GCP (for data science and AI workloads)
• AI & Advanced Models: Experience with LLMs (Large Language Models), NLP techniques
• Data Visualization: Tools like Tableau, Power BI, Matplotlib, Seaborn
• Model Maintenance: Model monitoring, retraining, performance tuning
Domain & Industry Knowledge
• Healthcare Data Analysis: Understanding of healthcare operations and patient outcome metrics
• Operational Efficiency in Healthcare
• Ethical AI & Responsible Data Practices
