Marketing Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Marketing Data Scientist with a 1-year contract, paying $65-$70 per hour. Remote work is available (PST/MST). Requires 5+ years of SQL experience, BI tool expertise, and strong project management skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date discovered
September 17, 2025
🕒 - Project duration
More than 6 months
-
🏝️ - Location type
Remote
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Project Management #Data Manipulation #Strategy #BI (Business Intelligence) #Datasets #SQL (Structured Query Language) #Spark (Apache Spark) #Looker #Tableau #Python #Data Science #Forecasting
Role description
Position: Marketing Data Scientist
Pay Range: $65 - $70 per hour on W2
Location: Remote (PST/MST)
Contract Duration: 1 year
Overview:
• Responsible for building customer audiences and models for marketing campaigns, collaborating with cross-functional teams, and delivering insights to guide strategy.
• Key work includes data discovery, segmentation, experimentation, forecasting, and project management.
Requirements:
• 5+ years of experience with SQL and large datasets
• Strong data manipulation and BI tool expertise (Tableau, Looker, etc.)
• Excellent stakeholder communication and project management skills
• Comfortable working in ambiguous data environments; SparkSQL/Python a plus
Position: Marketing Data Scientist
Pay Range: $65 - $70 per hour on W2
Location: Remote (PST/MST)
Contract Duration: 1 year
Overview:
• Responsible for building customer audiences and models for marketing campaigns, collaborating with cross-functional teams, and delivering insights to guide strategy.
• Key work includes data discovery, segmentation, experimentation, forecasting, and project management.
Requirements:
• 5+ years of experience with SQL and large datasets
• Strong data manipulation and BI tool expertise (Tableau, Looker, etc.)
• Excellent stakeholder communication and project management skills
• Comfortable working in ambiguous data environments; SparkSQL/Python a plus
