Advantage Technical

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 3+ years of experience in Data Science or Analytics, offering $65-68/hour on a long-term remote contract. Key skills include Python or R, SQL, statistical analysis, and cloud platform exposure.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
544
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πŸ—“οΈ - Date
April 30, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Programming #Python #Data Pipeline #Data Storytelling #Datasets #AWS (Amazon Web Services) #Forecasting #Storytelling #Data Science #Cloud #GCP (Google Cloud Platform) #ML (Machine Learning) #SQL (Structured Query Language) #Azure #R #Visualization
Role description
Remote Pay: $65-68/ hour W-2 Contract: Long Term We’re hiring a Data Scientist to join a high-impact, research-focused team working with large-scale, real-world datasets to generate insights on market trends and behavior. This role sits at the intersection of data science, analytics, and research, partnering with cross-functional teams to build models, develop data products, and translate complex data into clear, actionable insights. What you’ll do: β€’ Build and deploy data models and analytical solutions from prototype to production β€’ Analyze large, messy datasets to uncover trends and insights β€’ Develop metrics, visualizations, and data products used by internal and external stakeholders β€’ Collaborate with technical and non-technical teams to solve complex problems β€’ Communicate findings clearly through reports, presentations, and data storytelling What we’re looking for: β€’ 3+ years of experience in Data Science, Analytics, or a related field β€’ Strong programming skills in Python or R + SQL β€’ Experience with statistical analysis, modeling, or machine learning β€’ Exposure to cloud platforms (AWS, Azure, or GCP) β€’ Ability to translate data into meaningful insights and communicate results effectively Nice to have: β€’ Experience with forecasting, econometrics, or time-series analysis β€’ Background working with large-scale or real-world behavioral datasets β€’ Experience building data pipelines or working with distributed data systems