BlueRose Technologies
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with a contract length of "unknown" and a pay rate of "unknown." Requires an advanced quantitative degree or significant industry experience, proficiency in Python, SQL, and cloud platforms like AWS, along with data science tools.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
November 27, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Spark (Apache Spark) #Cloud #Web Services #Mathematics #Jupyter #Programming #Python #SQL (Structured Query Language) #Statistics #Data Science #GIT #Pandas #Monitoring #AWS (Amazon Web Services) #Computer Science
Role description
• Advanced quantitative degree (Statistics, Mathematics, Economics, Computer Science or related field) and at least 5 years of related industry experience or Bachelor’s degree and 7-12 years related industry experience.
• Advanced skills in programming languages (particularly Python, Pandas and SQL) and ability to apply them to develop, build and maintain production grade analytics software.
• Demonstrated ability to apply programming skills to data acquisition, preprocessing, modeling and monitoring as well as familiarity with the wide range of data science/analytics software tools.
• Experience with common data science/analytics software tools (e.g. Jupyter Notebook, SQL, Spark, Git) and cloud computing platforms (e.g. Amazon Web Services).
• Advanced quantitative degree (Statistics, Mathematics, Economics, Computer Science or related field) and at least 5 years of related industry experience or Bachelor’s degree and 7-12 years related industry experience.
• Advanced skills in programming languages (particularly Python, Pandas and SQL) and ability to apply them to develop, build and maintain production grade analytics software.
• Demonstrated ability to apply programming skills to data acquisition, preprocessing, modeling and monitoring as well as familiarity with the wide range of data science/analytics software tools.
• Experience with common data science/analytics software tools (e.g. Jupyter Notebook, SQL, Spark, Git) and cloud computing platforms (e.g. Amazon Web Services).
