Kaizen Analytix
Senior Media Data Scientist – Contractor
Kaizen Analytix, Atlanta, Georgia, United States, 30383
Overview
Senior Media Data Scientist – Contractor
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. This is a remote role.
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
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
This is a Telecommute/Work from Home position.
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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. This is a remote role.
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
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
This is a Telecommute/Work from Home position.
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