Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with a contract length of "unknown," offering a pay rate of "unknown." Key skills include SQL, PySpark, Python, and experience in AWS/Azure. A Bachelor's degree in a relevant field is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 25, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Irving, TX
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🧠 - Skills detailed
#Azure #Kubernetes #ML (Machine Learning) #AWS (Amazon Web Services) #Spark (Apache Spark) #Databricks #Data Science #Customer Segmentation #Docker #Deployment #Computer Science #PySpark #SQL (Structured Query Language) #Python
Role description
Basic Qualifications:
• 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
Extra Credit:
• Experience with Databricks platform.
• Experience building ML models with large amounts of structured and unstructured data.
Basic Qualifications:
• 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
Extra Credit:
• Experience with Databricks platform.
• Experience building ML models with large amounts of structured and unstructured data.
