Data Scientist - Model Risk

At Procter & Gamble, we are looking for a talented and driven Data Scientist - Model Risk to join our team and help us build the next generation of data-driven models. The ideal candidate will have a passion for data science, the ability to work independently and collaboratively, and a strong understanding of the principles of model risk management.If you are a highly motivated individual with a strong technical background and an eye for detail, we would love to hear from you. The successful candidate will be a part of our Data Science Center of Excellence and be responsible for developing, validating, and monitoring data-driven models to ensure quality and accuracy.Qualifications:• A Master's or PhD degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics• 5+ years of experience in data science, model risk management, or a related field• Expert knowledge of statistical and predictive modeling techniques, including linear and nonlinear regression, time series analysis, decision trees, and neural networks• Proficiency in SQL and Python programming languages• Strong communication skills, with the ability to explain complex concepts to non-technical audiences• Ability to work collaboratively with stakeholders throughout the organizationIf you believe you have the necessary qualifications and enthusiasm to join our team, please apply today. We look forward to hearing from you!

According to JobzMall, the average salary range for a Data Scientist - Model Risk in Cincinnati, OH, USA is between $95,000 and $135,000 per year. The salary range can vary depending on experience, qualifications, and other factors.

The Procter & Gamble Company is an American multinational consumer goods corporation headquartered in downtown Cincinnati, Ohio, founded in 1837 by English American William Procter and Irish American James Gamble. Procter & Gamble Co. engages in the provision of branded consumer packaged goods to its consumers. It operates through the following segments: Beauty, Hair, and Personal; Grooming; Health Care; Fabric Care and Home Care; and Baby, Feminine and Family Care. The Beauty, Hair, and Personal segment sells skin and personal care products, cosmetics, antiperspirant and deodorant, personal cleansing, hair care and color, and prestige products under the Head & Shoulders, Olay, Pantene, and Wella brands.