CBTS
Senior Data Scientist (Only W2)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist (W2) in Irving, TX, with a contract length of unspecified duration. Requires 4+ years in data science techniques, SQL, PySpark, Python, and ML model deployment in AWS/Azure, plus leadership experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 9, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Irving, TX
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🧠 - Skills detailed
#Deployment #Kubernetes #Azure #AWS (Amazon Web Services) #Data Science #ML (Machine Learning) #Docker #Python #PySpark #Spark (Apache Spark) #SQL (Structured Query Language) #Customer Segmentation #Computer Science
Role description
Data Scientist
Hybrid in Irving, TX
• 4+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc.
• 4+ years of experience with SQL, PySpark and Python.
• 4+ years of experience training, evaluating and deploying Machine Learning models.
• 4+ years of experience with productionizing and deploying ML workloads in AWS/Azure.
• 1+ years leading and mentoring Data Scientists and delegating tasks to deliver complex tasks.
• Familiarity with containerized application tooling and deployments (Docker/Kubernetes)
• Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience
Data Scientist
Hybrid in Irving, TX
• 4+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc.
• 4+ years of experience with SQL, PySpark and Python.
• 4+ years of experience training, evaluating and deploying Machine Learning models.
• 4+ years of experience with productionizing and deploying ML workloads in AWS/Azure.
• 1+ years leading and mentoring Data Scientists and delegating tasks to deliver complex tasks.
• Familiarity with containerized application tooling and deployments (Docker/Kubernetes)
• Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience
