Crossing Hurdles

Data Scientist | $90 Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist on an hourly contract, offering $50–$90/hour, with a commitment of 10–40 hours/week. Key skills required include Python, machine learning, and statistical analysis in a remote setting.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
720
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🗓️ - Date
February 14, 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
#Model Validation #Pandas #Datasets #Data Science #"ETL (Extract #Transform #Load)" #Libraries #ML (Machine Learning) #Python #Visualization #NumPy #Data Quality #AI (Artificial Intelligence) #Data Processing
Role description
Position: Data Science Expert Type: Hourly contract Compensation: $50–$90/hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities • Analyze large datasets to extract insights that inform AI model design and refinement. • Develop and apply statistical models, machine learning techniques, and evaluation frameworks. • Conduct performance assessments and data quality reviews on AI model outputs. • Build reusable tools for data processing, visualization, and reporting. • Partner with research teams to test hypotheses and scale experimental workflows. • Support data-driven experimentation and continuous model improvement initiatives. Requirements • Strong professional background in data science, machine learning, or related analytical fields. • Proficiency in Python and core data science libraries (e.g., pandas, NumPy, scikit-learn). • Familiarity with large-scale data environments and version-controlled workflows. • Strong understanding of statistical analysis, experimental design, and model validation. • Excellent written communication skills and ability to collaborate across technical teams. • Ability to work independently in a fully remote environment. Application Process (Takes 20 Mins) • Upload resume • Interview (15 min) • Submit form