Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior/Principal Applied Data Scientist on a 3-month full-time remote contract. Key skills include Python, unstructured data extraction, and MLOps. Experience in healthcare data workflows and cloud platforms is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 8, 2025
🕒 - Project duration
3 to 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Fixed Term
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Automation #"ETL (Extract #Transform #Load)" #Programming #Classification #Cloud #Base #Python #Lean #Compliance #Kubernetes #GCP (Google Cloud Platform) #Azure #ML (Machine Learning) #Langchain #Docker #Data Engineering #Deployment #Data Extraction #Monitoring #Data Science #pydantic #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Data Processing #Containers #CRM (Customer Relationship Management)
Role description
Senior/Principal Applied Data Scientist
Join a fast-paced, seed-stage AI startup backed by top-tier investors, working at the cutting edge of intelligent automation. The company is seeking an Applied Data Scientist to support a key client engagement and drive forward core technical initiatives. This role offers exposure to advanced agentic workflows, unstructured data processing, and the opportunity to shape real-world AI deployments.
This is a 3-month full-time remote contract role, with EST working hours.
What you’ll do:
• Data science and solutions engineering to build and design agentic workflows
• Solve novel, complex data science problems in document classification and structured data extraction
• Write code to extract structured information from unstructured patient records
• Leverage deep technical expertise to support customers and troubleshoot complex issues
• Develop and expand a robust customer knowledge base to answer common questions, significantly reducing onboarding time for new customers.
• Work with the product team to prioritize the roadmap based on customer feedback
• Communicate findings to stakeholders in a clear and concise way
• Ensure privacy and Compliance standards (HIPAA, PHI/PII) are upheld throughout the ML lifecycle
About you:
• Background in data science, agentic frameworks, machine learning, and engineering
• Strong programming skills in Python
• Deep experience extracting structured data from unstructured PDFs using frameworks like: DSPy, Pydantic, Trustcall, LangGraph, LangChain, LlamaIndex, and Docling
• Deep understanding of LLM models
• Work closely with subject matter experts to create and refine evaluations sets
• Experience working with both technical and non-technical stakeholders
• Excellent communication, collaboration, and customer relationship management skills
• Strong grasp of the full MLOps lifecycle, including data engineering, training/evaluation, serving, and monitoring
• Proficiency in creating Docker containers
Nice to have:
• Experience with cloud platforms (AWS, GCP, Azure), Kubernetes
• Background in insurance or healthcare data workflows
• Familiarity with models from Bedrock and Anthropic
• Prior startup or lean team experience
Senior/Principal Applied Data Scientist
Join a fast-paced, seed-stage AI startup backed by top-tier investors, working at the cutting edge of intelligent automation. The company is seeking an Applied Data Scientist to support a key client engagement and drive forward core technical initiatives. This role offers exposure to advanced agentic workflows, unstructured data processing, and the opportunity to shape real-world AI deployments.
This is a 3-month full-time remote contract role, with EST working hours.
What you’ll do:
• Data science and solutions engineering to build and design agentic workflows
• Solve novel, complex data science problems in document classification and structured data extraction
• Write code to extract structured information from unstructured patient records
• Leverage deep technical expertise to support customers and troubleshoot complex issues
• Develop and expand a robust customer knowledge base to answer common questions, significantly reducing onboarding time for new customers.
• Work with the product team to prioritize the roadmap based on customer feedback
• Communicate findings to stakeholders in a clear and concise way
• Ensure privacy and Compliance standards (HIPAA, PHI/PII) are upheld throughout the ML lifecycle
About you:
• Background in data science, agentic frameworks, machine learning, and engineering
• Strong programming skills in Python
• Deep experience extracting structured data from unstructured PDFs using frameworks like: DSPy, Pydantic, Trustcall, LangGraph, LangChain, LlamaIndex, and Docling
• Deep understanding of LLM models
• Work closely with subject matter experts to create and refine evaluations sets
• Experience working with both technical and non-technical stakeholders
• Excellent communication, collaboration, and customer relationship management skills
• Strong grasp of the full MLOps lifecycle, including data engineering, training/evaluation, serving, and monitoring
• Proficiency in creating Docker containers
Nice to have:
• Experience with cloud platforms (AWS, GCP, Azure), Kubernetes
• Background in insurance or healthcare data workflows
• Familiarity with models from Bedrock and Anthropic
• Prior startup or lean team experience
