Senior Data Scientist- W2
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist located in Irving, TX, on a W2 contract. Requires 9+ years of experience in statistical data science, Python, PySpark, SQL, and Azure. Customer segmentation experience is highly desirable.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
July 30, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
On-site
-
📄 - Contract type
W2 Contractor
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Irving, TX
-
🧠 - Skills detailed
#SQL (Structured Query Language) #Deployment #Docker #Spark (Apache Spark) #PySpark #ML (Machine Learning) #Data Science #AWS (Amazon Web Services) #Computer Science #Azure #Kubernetes #Customer Segmentation #Python #Databricks
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
Role: 9+ Years Data Scientist - W2
location: Irving, TX
Contract
Top Skill Summary (Must Have)
• Statistical Data Science
• Python, PySpark
• SQL
• Azure (high priority)
• Databricks (nice to have)
• Customer Segmentation
• Customer Data & Recommendation Systems (plus)
• Strong hands-on experience in Python and PySpark is essential.
• The project is within the Marketing team, so Customer Segmentation experience is highly desirable.
• Azure is in active use and is a priority.
• Exposure to Customer Data & Recommendation Systems is a plus.
Basic Qualifications:
• 5+ years of experience with SQL, PySpark and Python.
• 5+ years of experience training, evaluating and deploying Machine Learning models.
• 5+ years of experience with 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.
