Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist specializing in Marketing Analytics, requiring 3+ years of experience, proficiency in SQL, Python, and statistical tools, and a strong understanding of experimentation methods. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
May 29, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
California, United States
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🧠 - Skills detailed
#Regression #Presto #Hadoop #Statistics #R #Python #SQL (Structured Query Language) #Computer Science #Data Science
Role description
📢 Job Opening: Data Scientist – Marketing Analytics
📍 Location: [Remote]
What We’re Looking For:
• 3+ years in data science, marketing analytics, or related fields.
• Hands-on experience with SQL, Hive, Presto, or Hadoop for data querying.
• Strong proficiency in Python, R, Stata, or other statistical tools.
• Deep understanding of experimentation and causal analysis methods.
• Strong communication skills with the ability to present findings to diverse audiences.
What You’ll Do:
• Collaborate with Marketing, Product, and Research teams to design and analyze marketing experiments and strategies.
• Evaluate campaign performance using advanced statistical and econometric models.
• Conduct A/B and multivariate testing to validate hypotheses and improve marketing ROI.
• Build data-driven tools and dashboards to inform marketing decisions.
• Apply techniques such as causal inference, regression, bias correction, and audience segmentation.
Education:
• Bachelor’s or Master’s in Computer Science, Statistics, Data Science, Economics, or a related field.
📢 Job Opening: Data Scientist – Marketing Analytics
📍 Location: [Remote]
What We’re Looking For:
• 3+ years in data science, marketing analytics, or related fields.
• Hands-on experience with SQL, Hive, Presto, or Hadoop for data querying.
• Strong proficiency in Python, R, Stata, or other statistical tools.
• Deep understanding of experimentation and causal analysis methods.
• Strong communication skills with the ability to present findings to diverse audiences.
What You’ll Do:
• Collaborate with Marketing, Product, and Research teams to design and analyze marketing experiments and strategies.
• Evaluate campaign performance using advanced statistical and econometric models.
• Conduct A/B and multivariate testing to validate hypotheses and improve marketing ROI.
• Build data-driven tools and dashboards to inform marketing decisions.
• Apply techniques such as causal inference, regression, bias correction, and audience segmentation.
Education:
• Bachelor’s or Master’s in Computer Science, Statistics, Data Science, Economics, or a related field.
