招聘
Job Location
CINCINNATI GENERAL OFFICES:
Job Description
Do you thrive on tackling billion-dollar data science challenges involving trillions of data points? Are you passionate about breaking new ground where computer science meets hard science? If transforming raw, untidy data into game-changing insights—and surprising business leaders with the power of Generative and Agentic AI—sounds like your mission, then P&G is the place for you.
As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes. You’ll design and implement advanced models that push the boundaries of AI, optimization, simulation, and machine learning. Your expertise will drive scalable, innovative solutions that combine:
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Cutting-edge Operations Research (optimization, simulation)
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State-of-the-art machine learning (tree models, deep learning, reinforcement learning)
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Next-gen Generative AI and Agentic AI techniques to build dynamic, intelligent systems
Collaborating closely with our Data and AI Engineering teams, you’ll turn complex algorithms into robust, production-ready products deployed at scale in cloud environments. From exploratory data analysis and feature engineering to delivering actionable insights, your work will directly shape P&G’s competitive edge. Along the way, you’ll grow as a recognized thought leader—mentoring others, sharing your know-how, and quantifying your impact on real-world business outcomes.
Key Responsibilities:
- Invent and Innovate:
Lead the design and development of cutting-edge data science and AI algorithms that challenge the status quo
- Collaborate to Scale:
Partner with engineering teams to productionize and deploy scalable, high-impact solutions
- Master Large and Complex Data:
Drive exploratory analysis, feature engineering, and modeling on massive datasets using cloud tools and platforms
- Inspire and Elevate:
Mentor fellow data scientists and become a go-to expert in AI, optimization, or generative techniques
- Deliver Impact:
Translate complex data into strategic insights that transform business decisions and outcomes
Job Qualifications Required:
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Bachelor's, Master's, and/or postgraduate in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.)
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5+ years of experience in Data Science or related field, with proven record of business impact. Doctoral level research involving the use or development of AI/ML techniques may be considered in lieu of professional experience
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Proficient in programming languages such as Python and familiar with major Data Science/machine learning libraries like OpenCV, scikit-learn, Py Torch, Tensor Flow/Keras, and Pandas.
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Demonstrated ability to develop and test code within cloud environments.
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Experience with large datasets and developing in cloud computing platforms such as GCP or Azure.
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Experience applying analytic methodologies such as Machine Learning, Optimization, Simulation, and Generative and Agentic AI to real-world problems.
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Familiarity with DevOps environments, including tools like Git and CI/CD practices.
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Strong written and verbal communication skills, with the ability to influence others to take action.
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Ability to work onsite in Cincinnati, OH based office on a hybrid work schedule.
Preferred:
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Agentic Development: Has experience developing and deploying AI Agents or agentic workflows in any of the major cloud environments.
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Familiarity with cutting-edge frameworks and techniques: In this constantly evolving space, evidence of experimenting with the latest releases in foundational models, knowledge graphs, agentic platforms, and the broader AI field.
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A commitment to lifelong learning, keeping up to date with the latest technology trends, and a willingness to teach others while learning new techniques.
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Ability to influence the business by translating complex topics and techniques into concepts that non-technical people can understand and buy into.
Compensation for roles at P&G varies depending on a wide array of equal opportunity factors including but not limited to the specific office location, role, degree/credentials, relevant skills, and level of 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.
Our company is 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](https: //faq.pgwebtools.com/us-work-authorization-faqs/).
P&G 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 job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Job Schedule
Full time
Job Number
R000147966
Job Segmentation
Experienced Professionals
Starting Pay / Salary Range
$110,000.00 - $165,300.00 / year
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关于Procter & Gamble

Procter & Gamble
PublicProcter & 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+
员工数
Cincinnati
总部位置
$386B
企业估值
评价
4.0
10条评价
工作生活平衡
3.8
薪酬
4.2
企业文化
4.3
职业发展
2.8
管理层
3.7
72%
推荐给朋友
优点
Excellent benefits and health coverage
Supportive and inclusive work environment
Flexible working arrangements
缺点
High-pressure and stressful work environment
Limited career advancement opportunities
Demanding work hours during peak seasons
薪资范围
0个数据点
Junior/L3
Junior/L3 · Data Scientist
0份报告
-
年薪总额
基本工资
-
股票
-
奖金
-
面试经验
5次面试
难度
3.0
/ 5
面试流程
1
Application Review
2
Online Assessment
3
HR Screen
4
Hiring Manager Interview
5
Final Round Interview
6
Offer
常见问题
Behavioral/STAR
Technical Knowledge
Case Study
Past Experience
Culture Fit
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