About the job
Build, implement, test, and analyze ML/AI products & solutions. Conduct A/B testing, automate complex A/B reports, and demonstrate analytical thinking. Convert data into actionable insights. Leverage a variety of statistical and mathematical techniques and algorithms such as AI/ML, Optimization, time series analysis, or dimensionality reduction to analyze a variety of datasets to solve business problems. Design controlled experiments to test and validate hypotheses. Translate business needs into data models supporting long- term solutions. Develop presentations to summarize and communicate key messages to senior management, sponsors and colleagues.
Responsibilities
Build, implement, test, and analyze ML/AI products & solutions.
Conduct A/B testing, automate complex A/B reports, and demonstrate analytical thinking.
Convert data into actionable insights.
Leverage a variety of statistical and mathematical techniques and algorithms such as AI/ML, Optimization, time series analysis, or dimensionality reduction to analyze a variety of datasets to solve business problems.
Design controlled experiments to test and validate hypotheses.
Translate business needs into data models supporting long- term solutions.
Develop presentations to summarize and communicate key messages to senior management, sponsors and colleagues.
Qualifications
Minimum
Master's degree in Business Administration, Applied Mathematics, Statistics, Engineering, Computer Science or related field of study plus Two (2) years of experience in the job offered or as Data Scientist, Quant Analytics Associate, or related occupation. The employer will alternatively accept a Bachelor's degree in Business Administration, Applied Mathematics, Statistics, Engineering, Computer Science or related field of study plus five (5) years of experience in the job offered or as Data Scientist, Quant Analytics Associate, or related occupation.
Preferred
No preferred qualifications listed.