Data Scientist - ML and Operations Research

At Procter & Gamble, we are looking for a highly motivated and organized individual to join our team as a Data Scientist - ML and Operations Research. This role requires a person with excellent problem-solving skills and technical know-how to drive data-driven innovation. The ideal candidate should have a passion for leveraging advanced mathematical and statistical techniques to develop and optimize business solutions.To be successful in this role, you should have a strong background in data science, operations research, and machine learning. You should also be able to effectively collaborate and communicate with cross-functional teams to ensure that the solutions you develop are aligned with the company’s strategic objectives.Specifically, we are looking for a candidate with the following qualifications: • A minimum of a Master’s degree in a relevant field, such as mathematics, operations research, computer science, or engineering• Extensive experience in data science, machine learning, and operations research• Proficiency in a wide range of data science tools, such as Python, R, SQL, and Tableau• A track record of successful data-driven projects• Excellent problem-solving skills and the ability to think strategically• Strong interpersonal and communication skillsIf you possess these qualifications and have a passion for using data science to drive innovation, we would love to hear from you.

According to JobzMall, the average salary range for a Data Scientist - ML and Operations Research in Cincinnati, OH, USA is $90,000 to $111,000. This range is subject to vary depending on experience, qualifications, company size, 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.