Intelliswift Software

Data Scientist (Marketing Analytics)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist (Marketing Analytics) for 8 months, remote US. Requires 7+ years in analytics, strong SQL and Python/R skills, and experience with large-scale data. Marketing knowledge preferred; BA/BS in relevant field required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
880
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πŸ—“οΈ - Date
January 8, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Python #R #Data Science #Visualization #SQL (Structured Query Language) #Data Analysis #A/B Testing #Scripting #Statistics
Role description
Job Title: Data Scientist (Marketing Analytics) Location: Remote US Duration: 8 Months (Possibility of extensions) Our client is seeking a Data Scientist to support the Business Marketing Group’s. This team focuses on MarTech, small and medium business marketing, and business education. The role requires strong SQL and scripting skills (Python/R) to conduct exploratory data analysis, interpret experiment results, and identify opportunities for increased impact. Top 3 Must-Have Skills β€’ Experience working with large-scale data sources. β€’ Experience in media mixed modeling, optimization, communicating Research β€’ Strong SQL and Python or R expertise. β€’ Strong business insight and ability to translate requirements into actionable analysis. Good-to-Have Skills β€’ Marketing knowledge or business studies background. β€’ Experience with infrastructure/data systems (helpful but not required). Minimum Qualifications β€’ BA/BS in Engineering, Statistics, Math, Business, or a related field. β€’ 7+ years of experience in analytics or a similar field. β€’ 4+ years of hands-on SQL experience. β€’ Strong problem-solving abilities and proven track record of deriving actionable business insights from data. β€’ Ability to communicate complex data issues to both technical and non-technical audiences. β€’ Demonstrated experience converting high-level requirements into meaningful analyses, visualizations, and tools. β€’ Capable of learning and applying new tools, skills, and concepts. β€’ Ability to manage multiple concurrent projects and drive initiatives in a cross-functional environment. β€’ High attention to detail. Preferred Qualifications β€’ MBA or graduate degree in a quantitative field. β€’ 5+ years of statistical experience (e.g., attribution models, A/B testing, lift analysis).