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
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💰 - Day rate
464
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🗓️ - Date
October 29, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - 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).