Job Location
CINCINNATI GENERAL OFFICESJob Description
Do you enjoy solving billion-dollar data science problems across trillions of data points? Are you passionate about working at the cutting edge of interdisciplinary boundaries, where computer science meets hard science? If you like turning untidy data into nonobvious insights and surprising business leaders with the transformative power of Artificial Intelligence (AI), including Generative and Agentic AI, we want you on our team at P&G.
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 will be expected to constructively research, design, and customize algorithms tailored to various problems and data types. Utilizing your expertise in Operations Research (including optimization and simulation) and machine learning models (such as tree models, deep learning, and reinforcement learning), you will directly contribute to the development of scalable Data Science algorithms. Your work will also integrate advanced techniques from Generative and Agentic AI to create more dynamic and responsive models, enhancing our analytical capabilities. You will collaborate with Data and AI Engineering teams to productionize these solutions, applying exploratory data analysis, feature engineering, and model building within cloud environments on massive datasets to deliver accurate and impactful insights. Additionally, you will mentor others as a technical coach and become a recognized expert in one or more Data Science techniques, quantifying the improvements in business outcomes resulting from your work.
Key Responsibilities:- Algorithm Design & Development: Directly contribute to the design and development of scalable Data Science algorithms.
- Collaboration: Work closely with Data and Software Engineering teams to effectively productionize algorithms.
- Data Analysis: Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building.
- Coaching & Mentorship: Develop others as a technical coach, sharing your expertise and insights.
- Expertise Development: Become a known expert in one or multiple Data Science techniques and methodologies.
Job Qualifications
Required Qualifications:
- Education: Pursuing or has graduated with a Master’s degree in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or possess equivalent work experience.
- Technical Skills: Proficient in programming languages such as Python and familiar with data science/machine learning libraries like OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas. Demonstrated ability to develop and test code within cloud environments.
- Communication: Strong written and verbal communication skills, with the ability to influence others to take action.
Preferred Qualifications:
- Analytic Methodologies: Experience applying analytic methodologies such as Machine Learning, Optimization, Simulation, and Generative and Agentic AI to real-world problems.
- Continuous Learning: A commitment to lifelong learning, keeping up to date with the latest technology trends, and a willingness to teach others while learning new techniques.
- Data Handling & Cloud: Experience with large datasets and developing in cloud computing platforms such as GCP or Azure.
- DevOps Familiarity: Familiarity with DevOps environments, including tools like Git and CI/CD practices.
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.
At P&G, we believe that diverse experiences help build strong leaders. Mobility is a key component of many management careers, providing opportunities to grow through different assignments, locations, and business challenges. Candidates should be prepared to consider relocation opportunities throughout their career as business needs and development opportunities arise.
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.
Qualified individuals will not be disadvantaged based on being unemployed.
P&G is dedicated to meeting the needs of applicants requesting an accommodation/adjustment due to a disability in order to complete the online application process. If you have a disability that affects your ability to complete our online application process, please visit our Disability Accommodation Page.
Job Schedule
Full timeJob Number
R000158052Job Segmentation
Entry LevelStarting Pay / Salary Range
$85,000.00 - $122,200.00 / yearSkills Required
- Pursuing or completed a Master's degree in a quantitative field such as Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, or Analytics, or equivalent work experience
- Proficiency in Python
- Familiarity with OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas
- Ability to develop and test code within cloud environments
- Strong written and verbal communication skills, with the ability to influence others to take action
- Experience applying machine learning, optimization, simulation, Generative AI, and Agentic AI to real-world problems
- Experience working with large datasets and cloud platforms such as GCP or Azure
- Familiarity with DevOps environments, Git, and CI/CD practices
- Commitment to continuous learning and willingness to teach others
Procter & Gamble Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Procter & Gamble and has not been reviewed or approved by Procter & Gamble.
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Fair & Transparent Compensation — Compensation is considered competitive and benchmarked against top industry peers, supported by formal pay‑equity audits and stated transparent principles. Feedback suggests pay is a strong draw, with raises described as attainable and benefits starting from day one of training.
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Healthcare Strength — Health coverage is broad and immediate, including medical, dental, vision, life and disability insurance, with mental‑health and telemedicine offerings expanded recently. This breadth and day‑one access contribute to a perception of reliable, comprehensive care.
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Parental & Family Support — Parental leave is inclusive under a global framework for all parents, with added recovery time for birth mothers. Adoption, fertility, childcare support and eldercare services further strengthen family support.
Procter & Gamble Insights
What We Do
Procter & Gamble Company is an American multi-national consumer goods corporation. P&G was founded over 180 years ago as a soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands, including Always®, Charmin®, Braun®, Fairy®, Febreze®, Gillette®, Head & Shoulders®, Oral B®, Pantene®, Pampers®, Tide®, and Vicks®. The design, development, growth and success of these products—and many more—is thanks to the innovative and insightful minds of our people. From Day 1, you’ll help make everyday life easier for our 5 billion consumers through billion dollar brands. With our large global footprint, there are many opportunities to work with P&G in multiple locations. We offer opportunities in approximately 70 countries and continually aim to attract, reward and advance the finest people in the world. As a "build from within" organization, we see 95% of our people start at an entry level and progress through the organization. Here, we want you to get your career off to a fast start. That's why we don't have any rotational development programs or gradual ramping-up periods: you’ll be able—and encouraged—to dive right in from day 1. Join us and help make life better through meaningful work that makes an impact from Day 1.
