Kaizen Analytix
Position-
Senior Data Scientist Type – Contract to Hire Location- Atlanta, GA (Hybrid)
Duration - 39 weeks
Kaizen Analytix LLC, an analytics services company seeking a qualified Data Science Contractor with a background exploratory analysis, data modeling, ML models, and, ideally, some propensity modeling experience. Responsibilities and job requirements are below. This role requires a 40 hour/week commitment for 39 weeks with possible extension.
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 PhD in Operations Research, Econometrics, or other applied mathematical discipline with at least 1 year 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 3 years of relevant professional experience 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 propensity modeling a definite plus
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Senior Data Scientist Type – Contract to Hire Location- Atlanta, GA (Hybrid)
Duration - 39 weeks
Kaizen Analytix LLC, an analytics services company seeking a qualified Data Science Contractor with a background exploratory analysis, data modeling, ML models, and, ideally, some propensity modeling experience. Responsibilities and job requirements are below. This role requires a 40 hour/week commitment for 39 weeks with possible extension.
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 PhD in Operations Research, Econometrics, or other applied mathematical discipline with at least 1 year 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 3 years of relevant professional experience 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 propensity modeling a definite plus
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