

Senior Media Data Scientist – Contractor
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Media Data Scientist contractor, requiring a 40-hour/week commitment for approximately 12 weeks, with a pay rate of "unknown." Candidates need a PhD or Master's in a relevant field, plus expertise in Python, R, and multi-touch attribution modeling.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 5, 2025
🕒 - Project duration
3 to 6 months
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#SAS #AI (Artificial Intelligence) #SQL (Structured Query Language) #Data Science #Forecasting #Programming #Data Modeling #R #Regression #Python #Statistics #Data Mining #"ETL (Extract #Transform #Load)" #Computer Science #Matlab #ML (Machine Learning)
Role description
Kaizen Analytix LLC, an analytics services company seeking a qualified Data Science Contractor with a background in exploratory analysis, regression models, and multi-touch attribution modeling experience. Responsibilities and job requirements are below. This role requires a 40-hour/week commitment for approximately 12 weeks.
Responsibilities
• Provide analytical support by leveraging data mining tools and analytical methodologies
• Assist in data modeling and analysis to determine key customer insights, drive business strategies, and maximize ROI
• Integrate internal and external data sources, be comfortable working with both structured and unstructured data
• Assist in development, maintenance, and enhancement of statistical models in Python
• Use statistical tools and techniques to extract and analyze trends from the customer database warehouse
• Prepare and deliver presentations with complex analytical concepts
• Comfortable presenting to the business and upper management
Job Requirements
Education and Experience:
• PhD in Operations Research, Econometrics, or other applied mathematical discipline with at least 2-3 years of relevant professional experience
OR
• Master’s degree in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 4-5 years of relevant professional experience
• Expertise in two or more of the following areas: math programming, probability, statistics, forecasting, machine learning, artificial intelligence, or other heuristics
• Expert programmer in two or more of the following: Python, R, SAS, MATLAB, SQL
• Excellent written, verbal, and presentation skills
• Experience in multi-touch attribution modeling
Kaizen Analytix LLC, an analytics services company seeking a qualified Data Science Contractor with a background in exploratory analysis, regression models, and multi-touch attribution modeling experience. Responsibilities and job requirements are below. This role requires a 40-hour/week commitment for approximately 12 weeks.
Responsibilities
• Provide analytical support by leveraging data mining tools and analytical methodologies
• Assist in data modeling and analysis to determine key customer insights, drive business strategies, and maximize ROI
• Integrate internal and external data sources, be comfortable working with both structured and unstructured data
• Assist in development, maintenance, and enhancement of statistical models in Python
• Use statistical tools and techniques to extract and analyze trends from the customer database warehouse
• Prepare and deliver presentations with complex analytical concepts
• Comfortable presenting to the business and upper management
Job Requirements
Education and Experience:
• PhD in Operations Research, Econometrics, or other applied mathematical discipline with at least 2-3 years of relevant professional experience
OR
• Master’s degree in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 4-5 years of relevant professional experience
• Expertise in two or more of the following areas: math programming, probability, statistics, forecasting, machine learning, artificial intelligence, or other heuristics
• Expert programmer in two or more of the following: Python, R, SAS, MATLAB, SQL
• Excellent written, verbal, and presentation skills
• Experience in multi-touch attribution modeling