Data Scientist

Begin a meaningful career right here.

 

Job Location

Cincinnati

 

Job Description

 

Do you like to apply Data Science in the development of machine processes and Vision Systems in the consumer goods industry? Do you like to solve manufacturing challenges? How would you like to turn on your creative genius and problem-solving to design next generation smart manufacturing systems that deliver superior quality products for consumers? If this sounds like fun, we are looking for someone with your skills and abilities.

 

As a Data Scientist, you will use modern data analysis and machine learning approaches to help us to develop and understand complex manufacturing systems. You will be working with a highly talented cross-functional team of R&D scientists and engineers with expertise in R&D, manufacturing processes and data infrastructure. This role has a unique ability to use the power of data science to deliver insights and drive end to end thinking starting from raw material to manufacturing processes to final product as delivered to our consumers. Ultimately you will be turning insights derived from data science into actionable recommendations that drive business value.

 

Why P&G

 

P&G is the largest consumer packaged goods company in the world. We have operations in over 75 countries, with 65 trusted brands that improve lives for 5 billion consumers worldwide. This brings many advantages, including the opportunity for our employees to enjoy a diverse and rewarding lifelong career filled with new and exciting challenges.

 

We believe great ideas emerge from the creative connections that happen between our talented employees and we encourage diverse, multi-functional teams to work together to generate new ideas to address challenges we face.

 

The Value of a P&G Career

    * Ongoing coaching and career development – you will work with passionate people and have access to best in class training through our P&G Leadership Academy as well as day-to-day mentoring from your manager.

 

    * We provide a market-competitive salary benchmarked against the finest companies, so you'll be able to spend your generous vacation time doing more of the things you love with the people you love.

    * We offer a suite of benefits, including but not limited to: flexible working arrangements, remote working options, generous paid vacation increasing with service, generous parental leave policies, group life insurance, health insurance, and dedicated support to help you find the right child care or elder care.

    * Additional perks include discounted P&G products from our company shops and a discount platform offering you unbeatable savings on everything from groceries to exotic holidays.

 

Job Qualifications

 

We are looking for leaders who are pursuing or have graduated with a PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering or a similar quantitative field.

 

Just So You Know:

 

We are committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

 

Immigration sponsorship is not available for this position, except in rare situations based on Procter & Gamble's sole discretion. Applicants for U.S. based positions are eligible to work in the U.S. without the need for current or future sponsorship. We do not sponsor for permanent residency. Any exceptions are based on the Company's specific business needs at the time and place of recruitment as well as the particular qualifications of the individual.

 

Procter & Gamble participates in e-verify as required by law.

 

Qualified individuals will not be disadvantaged based on being unemployed.

 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

 

Job Schedule

Full time

 

Job Number

R000028373

 

Job Segmentation

Experienced Professionals (Job Segmentation)