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Data Scientist

Job in Cincinnati, Hamilton County, Ohio, 45208, USA
Listing for: Procter & Gamble
Full Time, Seasonal/Temporary position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer
Salary/Wage Range or Industry Benchmark: 85000 USD Yearly USD 85000.00 YEAR
Job Description & How to Apply Below

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Overview

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), we want you on our team at P&G.

Location

CINCINNATI GENERAL OFFICES

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 product ionize 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.
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, Tensor Flow/Keras, and Pandas.
  • 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, and Simulation 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:
    Experience with large datasets and cloud computing platforms such as GCP or Azure.
  • Dev Ops Familiarity:
    Familiarity with Dev Ops environments, including tools like Git and CI/CD practices.
Compensation & Benefits

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 .

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 Details
  • Job Schedule:

    Full time
  • Job Number: R
  • Job Segmentation:
    Entry Level
  • Starting Pay / Salary Range: $85,000.00 - $ / year
Additional
  • Seniority level:
    Not Applicable
  • Employment type:

    Full-time
  • Job function:
    Project Management, Design, and Information Technology
  • Industries:
    Manufacturing

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