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Procter & Gamble
Procter & Gamble

Knowledge Engineer/Scientist - PhD

직무데이터 사이언스
경력미들급
위치Mason Bus And Innovation Ctr
근무오피스 출근
고용정규직
게시2개월 전
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필수 스킬

Machine Learning

Job Location

MASON BUS AND INNOVATION CTR:

Job Description

Research and Development (R&D) at Procter & Gamble, the largest consumer packaged goods company in the world, includes a diverse group of roles that contribute to the innovation and development of our products. It encompasses roles in product research, formulation, testing, and scientific analysis. You will find variety and excitement starting Day 1.

The Opportunity:

P&G has an opportunity for a Knowledge Engineer/Scientist in our Oral Care business to develop new capabilities enabling our Technical Community. This role sits within our Digital Innovation subfunction, and would enable you to be at the leading edge of how P&G does our work to bring innovative products to life. As an Engineer in our R&D department, you will be part of a dynamic team committed to delivering innovative solutions that meet the needs of our consumers. Your role will involve supporting and assisting in executing strategies within the team, focusing on specific tasks or segments within a project, and collaborating effectively within your immediate team.

The ideal candidate will demonstrate a strong eagerness to learn and grow professionally and possess excellent communication skills—both written and verbal. This role is perfect for those with passion for innovation and problem-solving, along with a proactive attitude and the ability to adapt to new challenges. Join us in this dynamic environment, where your contributions will make a real impact as part of a collaborative team!

Key Responsibilities:

  • Work with a wide variety of stakeholders to understand requirements across our Seamless Technical Community (research through Manufacturing).

  • Utilize knowledge of Large Language Models (LLMs), knowledge graphs, and other cutting-edge capabilities to build tools to step-change speed and quality of innovation.

  • Organize existing data and models, documents, and tacit organizational knowledge into knowledge graphs to be activated via tools.

  • Analyze latest innovations and explore opportunities to apply cutting-edge techniques for building high-impact solutions that enhance internal capabilities and deliver exceptional user experiences.

Job Qualifications Required Qualifications:

  • Education Requirement: PhD in Engineering (e.g., Chemical, Mechanical) with Systems Engineering/Computer Science background.

  • Available to work daytime office hours at Mason, OH as needed

Preferred Qualifications:

  • Technical Skills: Ideally proficient in theory and use of knowledge graphs, graph RAGs, large language models, operations research, and machine learning.

  • Analytic Methodologies: Experience with applying Machine Learning, Data Science, Generative AI and Large Language Modeling (LLM) to real-world problems.

  • Proficient in programming languages ideally with full stack development skills.

  • Strong background in mathematics.

  • Familiarity with W3 standards, OWL , SHACL

  • Publications in peer-reviewed scientific journals.

What we offer:

· Responsibilities as of Day 1 - you will feel the ownership of your work from the beginning, and you will be given specific ownership areas and responsibilities.

· Continuous mentorship - you will work with passionate people and receive 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 effectiveness and your long-term well-being.

Compensation for roles at P&G varies depending on a wide array of non-discriminatory factors including but not limited to the specific office location, role, degree/credentials, relevant skill set, and level of relevant experience. At P&G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&G include salary + bonus (if applicable) + benefits. Your recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the hiring process.

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

R000145157

Job Segmentation

Entry Level

Starting Pay / Salary Range

$140,000.00 - $140,000.00 / year

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Procter & Gamble 소개

Procter & Gamble

Procter & Gamble is a multinational consumer goods corporation that manufactures and markets a wide range of household and personal care products. The company operates through various segments including fabric and home care, beauty, health care, and baby, feminine and family care.

10,001+

직원 수

Cincinnati

본사 위치

$386B

기업 가치

리뷰

10개 리뷰

4.0

10개 리뷰

워라밸

3.8

보상

4.2

문화

4.3

커리어

2.8

경영진

3.7

75%

지인 추천률

장점

Excellent benefits and health benefits

Supportive and inclusive team environment

Flexible working hours and work-life balance

단점

High-pressure and stressful work environment

Limited career advancement opportunities

Demanding work hours during peak seasons

연봉 정보

0개 데이터

Junior/L3

Junior/L3 · Data Scientist

0개 리포트

-

총 연봉

기본급

-

주식

-

보너스

-

면접 후기

후기 5개

난이도

3.0

/ 5

면접 과정

1

Application Review

2

Online Assessment

3

HR Screen

4

Hiring Manager Interview

5

Final Round Interview

6

Offer

자주 나오는 질문

Behavioral/STAR

Technical Knowledge

Past Experience

Case Study

Problem Solving