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Description Overview of role Our Beauty Revealed group is a sector organization driving innovations across the Skin, Hair, Personal Cleansing and Care businesses. This role will drive an exciting future to build new business value to the Beauty Sector via data and modelling science innovation. If this sounds exciting to you, read on! Your team Located at the P&G Beijing Innovation Center, you will join our Beauty Revealed capability organization. You will work in multi-functional innovation teams, internal and external partners. Key Responsibilities • Work in a multi-functional project team to define the problem-to-solve and own the data science and modelling strategy • Apply mathematical and statistical theory and methods to design experiments and capture, organize, interpret, and summarize R&D data to drive business results. • Champion new research opportunity with defined business value creation. • Candidate who has significant years of experience will be considered for Senior Statistician level. The individual will provide technical leadership to critical data and modelling science projects. The candidate will engage key partners in the outcomes and actions to take and in that process, also provide mentor to junior members in the team or the broader organization.
Qualifications: A: Academics: • PhD degree in Statistics, Biostatistics, Mathematics, Psychometrics, Econometrics, Industrial Engineering or a related scientific field and/or an equivalent combination of relevant education and/or experience. • Master's degree holders with extensive industry experience will be considered also. B: General Statistics and Software Skills as outlined below: • Strong foundations in mathematical statistics including Probability, Generalized Linear Model and Multivariate Statistical Methods. • Expertise in programming with SAS or R. Knowledge of SAS Viya/SAS on cloud will be a plus. • Data Mining and modern Predictive Modeling techniques. • Strong problem-solving skills and detail-oriented. • Willingness to upskill himself/herself in statistics and data science. C: Sophisticated expertise in one of the following two domains: • Advanced expertise in some of following areas of consumer survey data analysis will be a plus: Discrete Choice Methods, Structural Equations Models, Bayesian Belief Networks, PLS Path Modeling. Text Mining, Sentiment Analysis, Item Response Theory or other psychometric methodologies. Note that we are not expecting the candidate to be expert in all of the above, knowledge in some of these and willingness to learn more will be sufficient.Apply Now
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