

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 and a pay rate of $55.00 to $79.00 per hour. Requires 4+ years of experience in SQL, Python, AWS/Azure, and ML model deployment.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
632
-
ποΈ - Date discovered
August 30, 2025
π - Project duration
Unknown
-
ποΈ - Location type
On-site
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
Irving, TX
-
π§ - 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) #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:
β’ Research, prototype, and develop AI/ML solutions to build personalized systems
β’ Build, deploy, and analyze AI/ML solutions and perform statistical experiments when deploying new AI products
β’ Analyze and segment customer data and clearly visualize customer behavior to make product decisions
β’ Stay up to date with emerging technology and learn new technologies, libraries, and 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 training, evaluating, and deploying Machine Learning models
β’ 4+ years of experience productionizing and deploying ML workloads in AWS or Azure
β’ 1+ years of experience leading and mentoring Data Scientists and delegating tasks to deliver complex projects
β’ Familiarity with containerized application tooling and deployments such as: Docker and Kubernetes
β’ Experience with the Databricks platform
β’ Experience building ML models with large amounts of structured and unstructured 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 $55.00 and $79.00. 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’ Research, prototype, and develop AI/ML solutions to build personalized systems
β’ Build, deploy, and analyze AI/ML solutions and perform statistical experiments when deploying new AI products
β’ Analyze and segment customer data and clearly visualize customer behavior to make product decisions
β’ Stay up to date with emerging technology and learn new technologies, libraries, and 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 training, evaluating, and deploying Machine Learning models
β’ 4+ years of experience productionizing and deploying ML workloads in AWS or Azure
β’ 1+ years of experience leading and mentoring Data Scientists and delegating tasks to deliver complex projects
β’ Familiarity with containerized application tooling and deployments such as: Docker and Kubernetes
β’ Experience with the Databricks platform
β’ Experience building ML models with large amounts of structured and unstructured 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 $55.00 and $79.00. 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.