Associate Scientist Technical Expert

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Job Description

Are you passionate about solving challenging problems? At Procter & Gamble, you have the opportunity to demonstrate your scientific and engineering skills to build innovative solutions for consumers' everyday needs. If this sounds exciting, we would love for you to join our Smart Products team. This position is located in the Mason Business Center.

In our team, we start with a broad vision of new technologies combined with a deep understanding of consumer challenges. We utilize a variety of technologies,  including machine learning and artificial intelligence, embedded systems, cloud computing, and robotics, to identify, synthesize, and prototype testable solutions in a fast-paced, hands-on, and agile environment and directly impact and improve the experience consumers have with our products.

• Apply your technical skills – hands-on – to build new product prototypes to drive consumer learnings, generate insights and recommendations. For example:
  • Develop pipelines for collecting and presenting data and generate insights from new-to-the-world devices in consumer test
  • Utilize your expertise in digital technologies such as Machine Learning/Artificial Intelligence, cloud and web/mobile applications to drive rapid prototyping to enable data based insights generation and extract value from data.
  • Develop backend infrastructure and frontend prototypes for consumer-facing applications

• Drive projects through uncertainty:  Engage in exploratory work in the early stages of innovation, adapting and help defining fast-changing and uncertain environments. Apply agile / lean project management and first principle technical models to inform fast cycle learning plans. Partner with others to get all that is needed to drive the project to success.
• Growth mindset: Continuously reinvent and expand your skills to meet evolving business needs.

Job Qualifications

The ideal candidate:

• Educational/Technical Background:  
  Master / PhD degree in Computer Science, Math, Statistics, Physics, Electrical, Mechanical or Mechatronic Engineering, or similar technical disciplines with R&D work experience and passion for R&D work.
• Machine Learning Expertise:

Extensive knowledge and hands-on experience in Data Science and Machine Learning methodologies, including but not limited to:

• Data curation and cleaning.
• Supervised, unsupervised, and reinforcement learning techniques.
• Mainstream neural network model architectures.
• Model training, evaluation, and deployment.
• Knowledge of building LLM pipelines and agents.
• Fine-tuning of large foundation models.

• Experience in web or mobile app development, including:

• Web Application – Frontend/Backend/Progressive Web App
• Android/iOS Applications

• Cloud Computing Proficiency:

• Familiarity with cloud platforms, ideally Microsoft Azure; experience with other platforms such as AWS or Google Cloud is a plus.

• Demonstrate collaborative approach to problem-solving, actively seeking diverse perspectives and embracing constructive feedback and constantly improving.
• Ability and willingness to travel a few times per year
• Fluent in English

Pay Range: $85,000 - $115,000

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.

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.

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