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R&D Data Scientist Intern - PhD

Job Location
Job Description
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.
Are you looking for a position that offers a rewarding lifelong career filled with new and exciting challenges? P&G is looking for an R&D Data Scientist - PhD Intern.
R&D Data Scientist - PhD Intern
Leverage state of the art computer vision techniques to automatically determine all products in a consumer’s pantry/bathroom cabinet/laundry cabinet. Partial data such as brand will be helpful in cases where full products cannot be determined.
Job Qualifications
    * Working towards a PhD degree.
Extensive experience with advanced machine learning models including deep learning. Strong programming skills including Python. Strong problem solving skills. Very good communications skills.
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 role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ’s, please click HERE.
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
Job Segmentation
Experienced Professionals (Job Segmentation)