CBTS
Data Scientist(no Third Party, Only W2)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length of "unknown" and a pay rate of "unknown." Candidates must have 2+ years of experience in SQL, PySpark, Python, and deploying ML models in AWS/Azure, along with a Bachelor's degree in a related field.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
March 14, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Irving, TX
-
🧠 - Skills detailed
#Computer Science #Kubernetes #Deployment #PySpark #SQL (Structured Query Language) #AWS (Amazon Web Services) #Azure #Databricks #Customer Segmentation #ML (Machine Learning) #Docker #Data Science #Python #Spark (Apache Spark)
Role description
Job Description:
Basic Qualifications
2+ years of experience with statistical data science techniques, feature engineering, and customer segmentation.2+ years of experience with SQL, PySpark, and Python.
2+ years of experience training, evaluating, and deploying machine learning models.
2+ years of experience productionizing and deploying ML workloads in AWS/Azure.
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.
Experience working with MarTech platforms (e.g., CDPs, DMPs, ESPs) and integrating data science into marketing workflows.
Job Description:
Basic Qualifications
2+ years of experience with statistical data science techniques, feature engineering, and customer segmentation.2+ years of experience with SQL, PySpark, and Python.
2+ years of experience training, evaluating, and deploying machine learning models.
2+ years of experience productionizing and deploying ML workloads in AWS/Azure.
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.
Experience working with MarTech platforms (e.g., CDPs, DMPs, ESPs) and integrating data science into marketing workflows.
