

KellyMitchell Group
Data Scientist
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
480
-
ποΈ - Date
January 27, 2026
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Irving, TX
-
π§ - 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’ Bachelorβs 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.
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’ Bachelorβs 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.






