Quantum Technologies. LLC
Senior Data Science Manager
Quantum Technologies. LLC, Cincinnati, Ohio, United States, 45208
Minimum Qualifications
MS or PhD degree preferred in statistics, applied mathematics, or computer science (machine learning)4+ years with predictive modeling techniques and experience in leading predictive modeling initiatives2+ years of management experienceAbility to break down complex business and technical problems into opportunities for analytical studyExtensive knowledge and experience in data science, including expertise in one or more of: machine learning, big data/data mining, statistics, business/customer intelligence, data modeling, databases, data warehousing, or a similar field.Business application of the following techniques: hierarchical Bayesian, Markov chain Monte Carlo, random forests, generalized boosted models, generalized additive models, neural networks, time-series forecasting, game theory, conditional probabilities, or other similar approachesDeep knowledge of statistical areas such as ANOVA, multiple regression, timeseries modeling, principal component analyses, decision trees, clustering, etc.Experience programming in R, SQL, PythonAutomate data wrangling, iterative solution search, and operationalization of models, working alongside data architects.The ability to handle missing data through an algorithmic approach such as multiple imputations to enable insights in sparse and messy datasetsSignificant experience coding and maintaining predictive algorithmsSuperior research, statistical, analytical, processing and mathematical skills with ability to structure and conduct analysesFluency with analytics platforms like SAS, DSX or SPSS, Data Robot, Alteryx, etc.Exceptional troubleshooting skills and thriving in high-expectation scenarios with many stakeholders.QUANTUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status.
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MS or PhD degree preferred in statistics, applied mathematics, or computer science (machine learning)4+ years with predictive modeling techniques and experience in leading predictive modeling initiatives2+ years of management experienceAbility to break down complex business and technical problems into opportunities for analytical studyExtensive knowledge and experience in data science, including expertise in one or more of: machine learning, big data/data mining, statistics, business/customer intelligence, data modeling, databases, data warehousing, or a similar field.Business application of the following techniques: hierarchical Bayesian, Markov chain Monte Carlo, random forests, generalized boosted models, generalized additive models, neural networks, time-series forecasting, game theory, conditional probabilities, or other similar approachesDeep knowledge of statistical areas such as ANOVA, multiple regression, timeseries modeling, principal component analyses, decision trees, clustering, etc.Experience programming in R, SQL, PythonAutomate data wrangling, iterative solution search, and operationalization of models, working alongside data architects.The ability to handle missing data through an algorithmic approach such as multiple imputations to enable insights in sparse and messy datasetsSignificant experience coding and maintaining predictive algorithmsSuperior research, statistical, analytical, processing and mathematical skills with ability to structure and conduct analysesFluency with analytics platforms like SAS, DSX or SPSS, Data Robot, Alteryx, etc.Exceptional troubleshooting skills and thriving in high-expectation scenarios with many stakeholders.QUANTUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status.
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