Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 4+ years of experience in data science, proficient in Python or R, SQL, and machine learning frameworks. Contract duration is 6+ months, onsite at multiple U.S. locations, and W2-only.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
May 22, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Newark, DE
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🧠 - Skills detailed
#Model Evaluation #GIT #Hadoop #Mathematics #Python #TensorFlow #Computer Science #Data Science #MLflow #SQL (Structured Query Language) #Cloud #GCP (Google Cloud Platform) #Spark (Apache Spark) #Version Control #Data Wrangling #Data Modeling #R #Big Data #Scala #Data Pipeline #BI (Business Intelligence) #PyTorch #Statistics #ML (Machine Learning) #AWS (Amazon Web Services) #Azure
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Raas Infotek LLC, is seeking the following. Apply via Dice today!
Data Scientist W2 Only (No C2C)
Onsite| Multiple Locations (USA)
Contract Duration: 6+ Months
We are seeking a Data Scientist with strong analytical skills and hands-on experience in data modeling, machine learning, and cloud-based data platforms. This is a W2-only contract role (no C2C) open to qualified professionals across the U.S.
Key Responsibilities:
• Analyze large volumes of structured and unstructured data to generate insights.
• Build and deploy machine learning models to support business objectives.
• Collaborate with cross-functional teams to define data requirements and model outcomes.
• Visualize findings using BI tools and present actionable insights to stakeholders.
• Ensure model scalability, reproducibility, and performance tuning.
Required Skills:
• 4+ years of hands-on experience in data science roles.
• Proficient in Python or R, and SQL.
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Familiarity with cloud platforms (Azure, AWS, or Google Cloud Platform).
• Strong understanding of data wrangling, feature engineering, and model evaluation.
Preferred Qualifications:
• Experience with big data tools (Spark, Hadoop).
• Exposure to MLOps, data pipelines, and version control (e.g., Git, MLflow).
• Advanced degree in Computer Science, Statistics, Mathematics, or a related field.
• Excellent communication and problem-solving skills.
• Values-driven and passionate about delivering data-informed business impact.
Note: Only W2 candidates will be considered. No C2C or third-party submissions.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Raas Infotek LLC, is seeking the following. Apply via Dice today!
Data Scientist W2 Only (No C2C)
Onsite| Multiple Locations (USA)
Contract Duration: 6+ Months
We are seeking a Data Scientist with strong analytical skills and hands-on experience in data modeling, machine learning, and cloud-based data platforms. This is a W2-only contract role (no C2C) open to qualified professionals across the U.S.
Key Responsibilities:
• Analyze large volumes of structured and unstructured data to generate insights.
• Build and deploy machine learning models to support business objectives.
• Collaborate with cross-functional teams to define data requirements and model outcomes.
• Visualize findings using BI tools and present actionable insights to stakeholders.
• Ensure model scalability, reproducibility, and performance tuning.
Required Skills:
• 4+ years of hands-on experience in data science roles.
• Proficient in Python or R, and SQL.
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Familiarity with cloud platforms (Azure, AWS, or Google Cloud Platform).
• Strong understanding of data wrangling, feature engineering, and model evaluation.
Preferred Qualifications:
• Experience with big data tools (Spark, Hadoop).
• Exposure to MLOps, data pipelines, and version control (e.g., Git, MLflow).
• Advanced degree in Computer Science, Statistics, Mathematics, or a related field.
• Excellent communication and problem-solving skills.
• Values-driven and passionate about delivering data-informed business impact.
Note: Only W2 candidates will be considered. No C2C or third-party submissions.
