

Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Irving, Texas, with a contract length of unspecified duration. It offers a pay rate of $42.00 to $60.00 per hour. Key skills include SQL, Python, AWS/Azure, and Azure Databricks. A Bachelor’s degree and 4+ years of relevant experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date discovered
August 30, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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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 #Docker #Computer Science #Data Science #Python #AWS (Amazon Web Services) #Databricks #SQL (Structured Query Language) #Deployment #ML (Machine Learning) #AI (Artificial Intelligence) #Spark (Apache Spark) #Azure Databricks #PySpark #Customer Segmentation #Libraries #Kubernetes
Role description
Job Summary:
Our client is seeking a Data Scientist to join their team! This position is located in Irving, Texas.
Duties:
• Build and deploy AI/ML solutions that improve customer experience, enable innovative user experiences, and increase revenue
• Research, prototype, and develop AI solutions to build personalized systems
• Build, deploy and analyze AI solutions and perform statistical experiments when deploying new AI products
• Stay up to date with emerging technology and learn new technologies/libraries/frameworks
• Learn and partner with peers across multiple disciplines, such as data, product, and systems design
• Deliver on time with a high bar on quality of research, innovation and engineering
Desired Skills/Experience:
• Bachelor’s Degree in Computer Science/Engineering/Math, or relevant experience
• 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 with productionizing and deploying ML workloads in AWS/Azure
• 2+ years of Azure Databricks
• Familiarity with containerized application tooling and deployments such as Docker and Kubernetes
• Experience working on customer data
Benefits:
• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered
The approximate pay range for this position is between $42.00 and $60.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
Job Summary:
Our client is seeking a Data Scientist to join their team! This position is located in Irving, Texas.
Duties:
• Build and deploy AI/ML solutions that improve customer experience, enable innovative user experiences, and increase revenue
• Research, prototype, and develop AI solutions to build personalized systems
• Build, deploy and analyze AI solutions and perform statistical experiments when deploying new AI products
• Stay up to date with emerging technology and learn new technologies/libraries/frameworks
• Learn and partner with peers across multiple disciplines, such as data, product, and systems design
• Deliver on time with a high bar on quality of research, innovation and engineering
Desired Skills/Experience:
• Bachelor’s Degree in Computer Science/Engineering/Math, or relevant experience
• 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 with productionizing and deploying ML workloads in AWS/Azure
• 2+ years of Azure Databricks
• Familiarity with containerized application tooling and deployments such as Docker and Kubernetes
• Experience working on customer data
Benefits:
• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered
The approximate pay range for this position is between $42.00 and $60.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.