Innovatix Technology Partners
Marketing Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Marketing Data Scientist with a contract length of "unknown" and a pay rate of "unknown". Key skills include Python or R, SQL, time series forecasting, and machine learning. Experience with Snowflake and marketing spend optimization is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
648
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🗓️ - Date
July 7, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Meriden, CT
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🧠 - Skills detailed
#R #ML (Machine Learning) #SQL (Structured Query Language) #Programming #Forecasting #Python #Snowflake #Time Series #Data Science #Data Warehouse #Cloud
Role description
Top Skills:
1. Statistical programming languages such as Python or R
1. Experience in time series forecasting and/or machine learning
1. SQL (for data querying and manipulation)
1. A strong drive to explore data deeply, question assumptions, and seek continuous improvement in forecasting models and methodologies.
1. The ability to work effectively across teams, clearly articulate complex technical concepts, and integrate diverse perspectives to enhance marketing optimization efforts.
Preferred:
• Snowflake (or similar cloud data warehouse experience)
• Optimization techniques and tools (to support marketing spend optimization efforts)
Key Responsibilities:
• Lead forecasting efforts leveraging Marketing Mix Modeling (MMM) and advanced time series techniques to drive accurate, actionable insights.
• Identify and implement enhancements to improve the accuracy and efficiency of MMM-based forecasts.
• Develop and automate rigorous testing and validation frameworks to ensure forecast reliability and robustness.
• Collaborate cross-functionally to build and refine marketing spend optimization models that maximize ROI.
• Proactively explore innovative data science approaches to continuously elevate forecasting and optimization capabilities.
Top Skills:
1. Statistical programming languages such as Python or R
1. Experience in time series forecasting and/or machine learning
1. SQL (for data querying and manipulation)
1. A strong drive to explore data deeply, question assumptions, and seek continuous improvement in forecasting models and methodologies.
1. The ability to work effectively across teams, clearly articulate complex technical concepts, and integrate diverse perspectives to enhance marketing optimization efforts.
Preferred:
• Snowflake (or similar cloud data warehouse experience)
• Optimization techniques and tools (to support marketing spend optimization efforts)
Key Responsibilities:
• Lead forecasting efforts leveraging Marketing Mix Modeling (MMM) and advanced time series techniques to drive accurate, actionable insights.
• Identify and implement enhancements to improve the accuracy and efficiency of MMM-based forecasts.
• Develop and automate rigorous testing and validation frameworks to ensure forecast reliability and robustness.
• Collaborate cross-functionally to build and refine marketing spend optimization models that maximize ROI.
• Proactively explore innovative data science approaches to continuously elevate forecasting and optimization capabilities.
