Crossing Hurdles

Data Scientist | Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position, offering an hourly contract of $60 - $130/hour for 10-40 hours/week, remote. Key skills include expertise in statistics, Python, R, SQL, and data visualization tools. Strong experience with large datasets and predictive modeling is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
1040
-
🗓️ - Date
July 25, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Matplotlib #Data Analysis #GCP (Google Cloud Platform) #Microsoft Power BI #R #Visualization #Data Science #Cloud #Azure #Python #Data Manipulation #Statistics #AWS (Amazon Web Services) #SQL (Structured Query Language) #BI (Business Intelligence) #Mathematics #Datasets
Role description
Position: Data Scientist Type: Hourly contract Compensation: $60 - $130/hour Location: Remote Commitment: 10 40 hours/week Role Responsibilities • Collect, clean, and preprocess diverse datasets to ensure accuracy and readiness for analysis. • Develop, validate, and implement statistical and predictive models to generate actionable insights. • Conduct exploratory data analysis to identify trends, patterns, and business opportunities. • Create data visualizations and reports for technical and non-technical stakeholders. • Collaborate with cross-functional teams to execute end-to-end data science projects. • Improve analytical methodologies and automate data workflows to enhance efficiency. • Communicate data-driven findings and recommendations through clear written and verbal presentations. Requirements • Strong expertise in statistics, mathematics, and data analysis techniques. • Strong experience handling, cleaning, and analyzing large and complex datasets. • Proficiency in Python, R, SQL, or similar tools for data manipulation and modeling. • Strong experience building and validating predictive and statistical models. • Proficiency with data visualization tools such as Power BI, Matplotlib, or similar platforms. • Familiarity with cloud platforms including AWS, Azure, or Google Cloud Platform. • Excellent written and verbal communication skills with strong attention to detail. Application Process (Takes 20 Min) • Easy Apply on LinkedIn • Check email for next steps • Participate in resume evaluation & interview stage