Bayesian Statistician at Procter & Gamble (P&G) in Mason, OH
Data & Modeling Sciences is seeking a Bayesian Statistician for our Mason, OH location. The ideal candidate must apply mastery in Statistics, Data Science, Computer Science and Quantitative Marketing methods to deliver game-changing, technology-driven mathematical models for development of innovative new products and processes. Create new algorithms and models to measure the impact of product, package, commercial and other innovation choices on consumer preferences and purchase decisions to guide investment choices. Enable better decision-making through the ability to mine data coupled with the development and application of advanced analytics and algorithms to derive actionable insights, and then translate those insights into actions that improve business results. Actively research best-in-class methodologies, such as leveraging ideas from structural models, discrete choice models, and empirical game theory. Be imaginative and creative with an eagerness to track and contribute to the latest developments in modeling and to envision application possibilities of emerging technologies in data science & machine learning. Has broad project responsibilities to co-create and influence the strategic direction of the research work to be done and can direct the Data & Modeling Sciences technical work on the assigned projects and lead cross-Job Family teams as needed. Qualifications We are looking for someone with a PhD in statistics, Biostatistics, mathematics, or a closely related field with dissertation research in Bayesian methodology and some experience in model development. Experience must include definition of model requirement, development of model specification, implementation of the specification in simulation environments, and verification and validation of models. Bayesian nonparametric methods; hierarchical Bayesian models; probabilistic modeling and computation; discrete choice models; machine learning; data mining; optimization; simulation; statistical modeling; and experimental design are desirable skills in this role. WHAT WE OFFER:
Responsibilities as of Day 1 - you will feel the ownership of your project from the beginning, and you will be given specific projects and responsibilities. Continuous mentorship - you will work with passionate people and receive both formal training as well as day-to-day mentoring from your manager. Work and be part of a dynamic and encouraging environment - working over a diverse array of interesting problems. Promote agility and work/life balance for employees, we value every individual and support initiatives. Experience true support for work/life effectiveness and your long-term well-being.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine Learning, Life SciencesEstimated Salary: $20 to $28 per hour based on qualifications.
Responsibilities as of Day 1 - you will feel the ownership of your project from the beginning, and you will be given specific projects and responsibilities. Continuous mentorship - you will work with passionate people and receive both formal training as well as day-to-day mentoring from your manager. Work and be part of a dynamic and encouraging environment - working over a diverse array of interesting problems. Promote agility and work/life balance for employees, we value every individual and support initiatives. Experience true support for work/life effectiveness and your long-term well-being.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine Learning, Life SciencesEstimated Salary: $20 to $28 per hour based on qualifications.
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