Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length of "unknown", offering a pay rate of "unknown". Key skills include expertise in Microsoft Power BI, SQL, and experience in data analysis. A degree in a relevant field is required.
🌎 - Country
United States
💱 - Currency
Unknown
-
💰 - Day rate
-
🗓️ - Date discovered
September 7, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
Unknown
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Plano, TX
-
🧠 - Skills detailed
#SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #R #BI (Business Intelligence) #Data Science #Computer Science #Python #Statistics #Data Modeling #Data Extraction #Mathematics #Programming #Microsoft Power BI #Databases #Data Analysis #DAX
Role description
Data Scientist Required Skills Qualifications:
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Proven experience as a Data Scientist or Data Analyst with a strong focus on Power BI development.
• Expert-level proficiency in Microsoft Power BI, including dashboard creation, data modeling, DAX, and Power Query.
• Strong understanding of data warehousing concepts and relational databases.
• Proficiency in SQL for data extraction and manipulation.
• Experience with other data analysis tools and programming languages (e.g., Python, R) is a plus.
• Excellent analytical and problem-solving skills with the ability to interpret complex data sets.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
Data Scientist Required Skills Qualifications:
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Proven experience as a Data Scientist or Data Analyst with a strong focus on Power BI development.
• Expert-level proficiency in Microsoft Power BI, including dashboard creation, data modeling, DAX, and Power Query.
• Strong understanding of data warehousing concepts and relational databases.
• Proficiency in SQL for data extraction and manipulation.
• Experience with other data analysis tools and programming languages (e.g., Python, R) is a plus.
• Excellent analytical and problem-solving skills with the ability to interpret complex data sets.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
