RIIM
Financial Data Scientist / Analyst with CPA Licence
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Financial Data Scientist / Analyst with a CPA license, offering a contract length of "unknown" and a pay rate of "unknown." Requires 8+ years of experience, a Master’s degree, and expertise in Python, R, SQL, Tableau, and PowerBI.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 12, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Denver, CO
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🧠 - Skills detailed
#ML (Machine Learning) #Data Manipulation #R #Programming #Visualization #"ETL (Extract #Transform #Load)" #Tableau #Data Science #SQL (Structured Query Language) #Database Management #Web Scraping #Neural Networks #Python #AI (Artificial Intelligence)
Role description
• 8+ years of progressive experience in Data Science, Business Analytics, or a related quantitative field, with at least 2 years in a managerial or team lead capacity.
• Master’s degree in Business Analytics, Data Science, or a quantitative field.
• Active CPA license or a strong accounting/finance background is highly preferred, demonstrating an understanding of financial reporting, cost management, and revenue reconciliation processes.
• Expert-level proficiency in:
• Programming languages: Python (for AI/Neural Networks, web scraping, ETL) and R (for statistical modeling and machine learning).
• Database management: SQL (complex querying, data manipulation).
• Data Visualization: Tableau and PowerBI.
• Proven track record of delivering significant, quantifiable business value and cost savings (e.g., multi-million dollar recovery/savings).
• Excellent communication and presentation skills, with the ability to clearly articulate complex analytical findings to a non-technical executive audience.
• 8+ years of progressive experience in Data Science, Business Analytics, or a related quantitative field, with at least 2 years in a managerial or team lead capacity.
• Master’s degree in Business Analytics, Data Science, or a quantitative field.
• Active CPA license or a strong accounting/finance background is highly preferred, demonstrating an understanding of financial reporting, cost management, and revenue reconciliation processes.
• Expert-level proficiency in:
• Programming languages: Python (for AI/Neural Networks, web scraping, ETL) and R (for statistical modeling and machine learning).
• Database management: SQL (complex querying, data manipulation).
• Data Visualization: Tableau and PowerBI.
• Proven track record of delivering significant, quantifiable business value and cost savings (e.g., multi-million dollar recovery/savings).
• Excellent communication and presentation skills, with the ability to clearly articulate complex analytical findings to a non-technical executive audience.
