

Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist specializing in Marketing Mix Modeling, available as a remote W2 contract through April 2026, with a pay rate of $70–$85/hour. Requires 5+ years of MMM experience, strong Python and SQL skills, and regression modeling expertise.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
680
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🗓️ - Date discovered
June 7, 2025
🕒 - Project duration
More than 6 months
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🏝️ - 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
#Regression #GCP (Google Cloud Platform) #Data Science #SQL (Structured Query Language) #Databricks #Python #AWS (Amazon Web Services) #Snowflake #Datasets #Leadership #Cloud #Documentation
Role description
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Senior Data Scientist – Marketing Mix Modeling (Contract, Remote)
We are partnering with a global technology leader in the employment and job search space to hire a Senior Data Scientist (Marketing Mix Modeling) for a long-term remote contract (through April 2026 and potentially beyond).
You’ll join a highly collaborative analytics team focused on building and refining Marketing Mix Models (MMM) to measure media effectiveness and support brand marketing strategies across TV, digital, paid social, and more.
Key Responsibilities:
• Develop and enhance MMM models to quantify marketing ROI across paid media channels.
• Conduct scenario simulations and marginal ROI analyses to support media planning.
• Collaborate closely with marketing, brand, and finance stakeholders to deliver actionable insights.
• Present findings to non-technical leadership in a clear, business-oriented way.
• Work with large-scale marketing and sales datasets using tools such as Python, SQL, and Databricks.
• Maintain documentation and contribute to the team’s modeling best practices.
What We’re Looking For:
• 5+ years of hands-on MMM experience in a business setting (media, CPG, retail, tech, etc.).
• Strong skills in Python, SQL, and preferably Databricks or cloud-based analytics tools.
• Experience with regression modeling techniques (e.g., OLS, Bayesian, hierarchical models).
• Proven ability to work cross-functionally and influence senior stakeholders.
• Bonus points for familiarity with PyMC, Snowflake, IQL, or AWS/GCP.
Details:
• Type: W2 Contract
• Location: Remote (U.S.-based)
• Duration: Through April 2026
• Pay Range: $70–$85/hour (W2)
• Start Date: ASAP