Job Location

Mason

Job Description

We are seeking a Statistician with expertise in optimizing processes and formulations, assessing trade-offs between multiple objectives. This will involve integrating information across multiple studies as well. We believe expertise in one or more of the following techniques may be relevant: Bayesian optimization, Network meta-analysis, Response Surface Methodology, Gaussian Process Modeling, and Mixed effect modeling.

 

The Statistician will also have a passion for learning from experiments, developing models, and building tools to bring insights to early-stage Research and Development. As a P&G Statistician, you can expect to learn about and collaborate with multiple scientific disciplines. Your statistical expertise will help project teams to learn more effectively (i.e., bringing more insights from the same amount of data, bringing similar insights from less data, bringing similar insights more quickly).

Job Qualifications

The successful candidate will have:

• A Ph.D. in Statistics or a related field.

• Familiarity with a broad range of statistical methods, along with a passion for applying statistical skills to partner sciences in ways that accelerate the R&D process.

• Strong communication skills, with an ability to explain sophisticated statistical concepts to non-experts.

• Coding skills in Python, R, and/or SAS.

• Awareness of a range of optimization techniques with a strong foundation in Bayesian optimization and other sequential learning techniques.

• Collaboration skills to maintain relationships both within our immediate team and several partner organizations. Interest in a range of diverse sciences due to the range of opportunities to apply statistics across R&D.

• The ability to apply statistical engineering, or similar methodology, to (1) define problems and providing structure and metrics for solving them, (2) develop experimental plans, (3) model the data, (4) extract insights, and (5) scale successful models for broader use.

Awareness of any of the following would be of additional benefit:

• Foundations of machine learning and artificial intelligence

• JMP software

• GitHub

• SQL and/or Databricks

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 proven 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

R000111026

Job Segmentation

Recent Grads/Entry Level (Job Segmentation)

Starting Pay / Salary Range

$128,000.00 - $140,000.00 / year