

KORE1
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist on a fully remote contract for 3-6 months, paying $48-58/hr. Requires a Bachelor's degree, 3+ years of experience, strong Python and PySpark skills, and advanced SQL proficiency, particularly in healthcare data.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
464
-
🗓️ - Date
October 29, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#SQL (Structured Query Language) #PySpark #Clustering #Spark (Apache Spark) #Automation #Mathematics #Classification #R #ML (Machine Learning) #Statistics #Microsoft Power BI #Python #Scala #BI (Business Intelligence) #Programming #Computer Science #Data Science #Databricks #AI (Artificial Intelligence) #Visualization #Data Manipulation #Tableau #Libraries
Role description
We have an an immediate opening for a Data Scientist that is fully remote and operates on PST and CST. It is a contract opportunity paying 48-58/hr.
Key Responsibilities
• Undertaking data collection, preprocessing and analysis
• Building models to address business problems
• Construct machine learning models for predictive analytics, classification, and clustering
• Optimize algorithms for scalability, efficiency, and real-world applicability
• Presenting information using data visualization techniques
• Identify valuable data sources and automate collection processes
• Analyze large amounts of information to discover trends and patterns
• Build and optimize data workflows in Python and PySpark within Databricks notebooks.
• Leverage GPT/LLM-based techniques for coding assistance, automation, and intelligent reporting enhancements.
Required Qualifications
• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Health Informatics, or related field.
• 3+ years of experience as a Data Scientist (or similar role) with end-to-end model ownership.
• Strong proficiency in Python, PySpark, and Databricks notebooks.
• Advanced SQL skills with experience handling large-scale healthcare or operational data.
• Proven ability to create reusable, well-documented notebook workflows for analysis, reporting, and automation.
• Demonstrated experience applying GPT/LLM tools to accelerate coding, validation, and AI workflows.
Preferred Qualifications
• Graduate degree in Data Science or another quantitative field
• Certifications in data science, machine learning, or related fields (e.g., Certified Databricks AI/ML, Analytics, or Engineering).
• Strong proficiency in programming languages like Python or R.
• Experience with data manipulation and analysis libraries.
• Knowledge of machine learning techniques and frameworks.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
We have an an immediate opening for a Data Scientist that is fully remote and operates on PST and CST. It is a contract opportunity paying 48-58/hr.
Key Responsibilities
• Undertaking data collection, preprocessing and analysis
• Building models to address business problems
• Construct machine learning models for predictive analytics, classification, and clustering
• Optimize algorithms for scalability, efficiency, and real-world applicability
• Presenting information using data visualization techniques
• Identify valuable data sources and automate collection processes
• Analyze large amounts of information to discover trends and patterns
• Build and optimize data workflows in Python and PySpark within Databricks notebooks.
• Leverage GPT/LLM-based techniques for coding assistance, automation, and intelligent reporting enhancements.
Required Qualifications
• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Health Informatics, or related field.
• 3+ years of experience as a Data Scientist (or similar role) with end-to-end model ownership.
• Strong proficiency in Python, PySpark, and Databricks notebooks.
• Advanced SQL skills with experience handling large-scale healthcare or operational data.
• Proven ability to create reusable, well-documented notebook workflows for analysis, reporting, and automation.
• Demonstrated experience applying GPT/LLM tools to accelerate coding, validation, and AI workflows.
Preferred Qualifications
• Graduate degree in Data Science or another quantitative field
• Certifications in data science, machine learning, or related fields (e.g., Certified Databricks AI/ML, Analytics, or Engineering).
• Strong proficiency in programming languages like Python or R.
• Experience with data manipulation and analysis libraries.
• Knowledge of machine learning techniques and frameworks.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).






