KellyMitchell Group

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. Pay ranges from $42.00 to $60.00 per hour. Key skills include SQL, PySpark, Python, and Azure Databricks, with 4+ years of relevant experience required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
480
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πŸ—“οΈ - Date
January 27, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Irving, TX
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Python #ML (Machine Learning) #Customer Segmentation #Computer Science #AI (Artificial Intelligence) #PySpark #Databricks #SQL (Structured Query Language) #Libraries #Spark (Apache Spark) #Data Science #Azure Databricks #Deployment #Docker #Kubernetes #Azure
Role description
Job Summary: Our client is seeking a Data Scientist to join their team! This position is located in Irving, Texas. Duties: β€’ Build and deploy AI/ML solutions that improve customer experience, enable innovative user experiences, and increase revenue β€’ Research, prototype, and develop AI solutions to build personalized systems β€’ Build, deploy and analyze AI solutions and perform statistical experiments when deploying new AI products β€’ Stay up to date with emerging technology and learn new technologies/libraries/frameworks β€’ Learn and partner with peers across multiple disciplines, such as data, product, and systems design β€’ Deliver on time with a high bar on quality of research, innovation and engineering Desired Skills/Experience: β€’ Bachelor’s Degree in Computer Science/Engineering/Math, or relevant experience β€’ 4+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc. β€’ 4+ years of experience with SQL, PySpark and Python β€’ 4+ years of experience with productionizing and deploying ML workloads in AWS/Azure β€’ 2+ years of Azure Databricks β€’ Familiarity with containerized application tooling and deployments such as Docker and Kubernetes β€’ Experience working on customer data Benefits: β€’ Medical, Dental, & Vision Insurance Plans β€’ Employee-Owned Profit Sharing (ESOP) β€’ 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.