Job Location
Cincinnati
Job Description
This role is available to December 2024 and spring 2025 grads.
About our Data Science Team!
At P&G we innovate and discover, we research and collaborate, we make the world a better place by the improving everyday lives of 5 billion people around the world who use and enjoy our products. We are looking for an experienced Data Scientist to join our dynamic and diverse team to lead Machine Learning or Operations Research.
The Opportunity
At P&G, our goal is to empower the business with the algorithms, to augment every important business decision with the outstanding insights provided by the models. As a Data Scientist for P&G you will drive efficiency and impact our business results across a variety of platforms.
Here are a few examples.
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As a Media and Marketing Data Scientist, you will apply predictive power of algorithms to maximize returns and optimize P&G media spend.
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As a Digital Commerce Data Scientist, you will take methodology of modeling to the e-retail environment, harvesting power of the big data to grow our digital sales through partnering with leading global retailers.
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As a Supply Chain Data Scientist, you will use optimization and simulation techniques to refine and streamline our manufacturing and supply chain.
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As a Model Risk Officer, you will partner with other Data Scientists to help improve and validate their models to ensure they are future proofed.
In this role you will
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Lead cross functional teams of Data Scientist, Data Engineers, and Software Developers from the hypothesis to the finished product.
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Partner with other IT Functions and Business Leaders to build strategy, complete roadmaps for a large organization and communicate to the highest level of the company leadership.
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Build and own an impactful Data Science team, drive professional development of the team members.
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Apply detailed technical and business knowledge to feature engineering of substantial datasets, exploratory data analysis, and model building to deliver accurate and impactful business insights.
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Translate analytic insights into concrete, actionable recommendations for business or product improvement.
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Quantify improvement in business areas resulting from use of the algorithms and modeling. Self-motivated individual with a demonstrated ability to balance multiple priorities with a can-do attitude and strong passion for their body of work.
Job Qualifications
Qualifications
Required
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Master’s degree in a quantitative field (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Physics, Analytics, etc.) or have equivalent work experience.
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Proven leadership in applying and scaling Analytic and Machine Learnings techniques to deliver significant insights from data (in academia or in industry).
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Knowledge and application of scientific computing methods i.e., Python, R, Scala
Preferred Qualifications
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Experience in applying analytic mythologies such as Machine Learning, Optimization, and Simulation to a real-world problem.
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Experience with large data sets and cloud computing.
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Experience with Dev Ops environment: Git, CICD, etc.
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Be a continuous learner. Keep up to date with the latest technology trends. Be willing to both guide others and learn new techniques.
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.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, disability status, age, sexual orientation, gender identity and expression, marital status, citizenship, HIV/AIDS status or any other legally protected factor.
Immigration sponsorship is not available for this role. As a general matter, Procter & Gamble does not sponsor candidates for nonimmigrant visas or permanent residency. However, Procter & Gamble may make exceptions on a discretionary basis. Any exceptions would be 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.
Job Schedule
Full time
Job Number
R000113301
Job Segmentation
Recent Grads/Entry Level - Campus (Job Segmentation)
Starting Pay / Salary Range
$85,000.00 - $115,000.00 / year
Top Skills
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.
