CloudIngest
Azure Data Scientist - Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Scientist with 3–6 years of experience, requiring strong skills in Python, Databricks, SQL, and machine learning. The contract is remote, paying $44/hr on W2, with a preference for candidates in Houston, TX.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
352
-
🗓️ - Date
May 30, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Houston, TX
-
🧠 - Skills detailed
#Python #Scala #Azure #"ETL (Extract #Transform #Load)" #Cloud #Data Pipeline #GCP (Google Cloud Platform) #Databricks #ML (Machine Learning) #PySpark #SQL (Structured Query Language) #Data Science #Datasets #Spark (Apache Spark)
Role description
Role: Data Scientist (Azure)
Location- Preference- Houston, TX or Remote
Rate: $44/hr on W2 (NO C2C)
Data Scientist
We are looking for a Data Scientist with strong experience in Python and Databricks to support data analytics and machine learning initiatives.
Required Skills
3–6 years of Data Science experience
Strong hands-on experience with Python and Databricks
Experience with SQL, PySpark, and machine learning models
Knowledge of ETL/data pipelines and large datasets
Experience with Azure, or GCP is preferred
Strong analytical and communication skills
Responsibilities
Build and optimize machine learning models and data pipelines
Analyze large datasets and provide business insights
Work with cross-functional teams to deliver scalable data solutions
Support cloud-based analytics and reporting initiatives
Role: Data Scientist (Azure)
Location- Preference- Houston, TX or Remote
Rate: $44/hr on W2 (NO C2C)
Data Scientist
We are looking for a Data Scientist with strong experience in Python and Databricks to support data analytics and machine learning initiatives.
Required Skills
3–6 years of Data Science experience
Strong hands-on experience with Python and Databricks
Experience with SQL, PySpark, and machine learning models
Knowledge of ETL/data pipelines and large datasets
Experience with Azure, or GCP is preferred
Strong analytical and communication skills
Responsibilities
Build and optimize machine learning models and data pipelines
Analyze large datasets and provide business insights
Work with cross-functional teams to deliver scalable data solutions
Support cloud-based analytics and reporting initiatives
