Crossing Hurdles

Data Scientist (Machine Learning) | Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (Machine Learning) on a contract basis, offering $30 - $130/hour for 10-40 hrs/week. Key skills include Python/R, data modeling, and visualization tools like Tableau or Power BI. Strong statistics and data analysis experience required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
1040
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🗓️ - Date
May 5, 2026
🕒 - 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
#Automation #"ETL (Extract #Transform #Load)" #R #Mathematics #Programming #Tableau #Data Modeling #Data Science #Visualization #Microsoft Power BI #Data Analysis #Libraries #BI (Business Intelligence) #Data Manipulation #Statistics #ML (Machine Learning) #Python
Role description
Position: Data Scientist Type: Contract Compensation: $30 - $130/hour Location: Remote Commitment: 10-40 hrs/week Role Responsibilities • Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. • Develop, validate, and implement statistical models to extract actionable insights from complex data. • Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. • Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. • Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. • Continuously improve analytical methodologies and automation processes to enhance data workflows. Requirements: • Have strong relevant experience in statistics, mathematics, and data analysis techniques. • Have proven experience in collecting, handling, and cleaning large, complex data sets. • Be proficient in programming languages such as Python, R, or similar for data manipulation and modeling. • Possess strong data modeling skills with experience in building and validating predictive models. • Have advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Application Process: • Easy Apply on LinkedIn • Check email for next steps • Participate in resume evaluation & interview stage