

Data Scientist - Location: [ Remote]
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position for a 12+ month contract, remote work. Key skills include Python or R, SQL, and machine learning experience. A Bachelor’s or Master’s in a related field and 2–5 years of experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date discovered
July 2, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Azure #Spark (Apache Spark) #AWS (Amazon Web Services) #Data Science #A/B Testing #R #Statistics #Libraries #Mathematics #BI (Business Intelligence) #Storytelling #Computer Science #PyTorch #Datasets #Model Deployment #Big Data #ML (Machine Learning) #TensorFlow #Python #Hadoop #SQL (Structured Query Language) #Data Framework #Visualization #Tableau #Cloud #Microsoft Power BI #Deployment #GCP (Google Cloud Platform)
Role description
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📌 Job Title: Data Scientist
📍 Location: [ Remote]
🕒 Engagement Type: Contract -- Open only for W2/C2C/1099
💼 Industry: [Technology Domain]
📅 Duration: [12 Months+]
📝 Job Summary:
We are seeking a skilled and motivated Data Scientist to join our analytics and product team. The ideal candidate will leverage data to generate actionable insights, build predictive models, and help solve complex business challenges using machine learning and statistical techniques.
🎯 Key Responsibilities:
• Collect, clean, and analyze large structured and unstructured datasets.
• Build and validate statistical and machine learning models to support business decisions.
• Design experiments (A/B testing), interpret results, and provide recommendations.
• Develop visualizations and dashboards to communicate findings to stakeholders.
• Collaborate with cross-functional teams (engineering, product, business) to deploy models into production.
• Communicate complex findings in a clear, concise, and business-friendly way.
✅ Required Qualifications:
• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.
• 2–5 years of professional experience in data science, analytics, or a related role.
• Strong proficiency in Python or R, SQL, and data visualization tools (e.g., Tableau, Power BI).
• Experience with machine learning libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Familiarity with cloud platforms like AWS, GCP, or Azure.
➕ Preferred Skills:
• Experience with big data frameworks (Spark, Hadoop).
• Understanding of MLOps and model deployment pipelines.
• Domain experience in [e.g., fintech, healthcare, retail] is a plus.
🗣 Soft Skills:
• Strong problem-solving and critical-thinking skills.
• Excellent communication and storytelling abilities with data.
• Self-starter with the ability to work independently and in teams.