# Senior Data Scientist at Procter & Gamble

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Convert complex business questions into

- **Company:** Procter & Gamble (https://jobs.trythestack.co/companies/procter-gamble)
- **Location:** Switzerland
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, SQL, Machine Learning, Generative AI, Agentic AI, Operations Research, Optimization, Simulation, Spark, Cloud Computing, Git, CI/CD, DevOps, Statistics, Feature Engineering, Deep Learning
- **Posted by employer:** 2026-07-17
- **Added to The Stack:** 2026-07-17
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://pg.wd5.myworkdayjobs.com/1000/job/GENEVA-BUSINESS-CENTER/Senior-Data-Scientist_R000155289 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-data-scientist-procter-gamble

## About the role

Responsibilities:
- Convert complex business questions into clear analytics/AI problems with defined success metrics and evaluation plans.
- Perform exploratory analysis, feature engineering and model development on large datasets using ML and OR techniques.
- Apply Generative/Agentic AI to create copilots, decision-support tools and intelligent workflows where appropriate.
- Work with Data/AI Engineering to productionize models in cloud environments (GCP/Azure) using CI/CD and testing best practices.
- Own solutions end-to-end: problem scoping, modeling, validation, deployment, monitoring and iterative improvement.
- Present technical results to non-technical stakeholders and mentor junior team members.

Requirements:
- 5+ years of data science experience or a relevant PhD; demonstrated business impact from deployed models.
- Strong Python and SQL skills; experience with Spark or comparable large-scale compute frameworks.
- Solid grounding in ML, statistics, experimental design and familiarity with operations research methods.
- Experience building production-ready solutions in cloud platforms and working with Git, testing and CI/CD.
- Excellent communication skills and ability to collaborate across product, engineering and business teams.

## Responsibilities

Design, build, and deploy scalable AI and analytics solutions to solve high-impact business problems. This includes end-to-end ownership from problem definition and modeling to productionization and monitoring in cloud environments.

## Requirements

Requires 5+ years of experience in Data Science or a PhD in a related AI/ML field. Candidates must be proficient in Python, SQL, and machine learning, with a strong ability to communicate technical results to non-technical stakeholders.

## FAQ

- **Is this Senior Data Scientist role still open?** It was posted on 2026-07-17. Listings more than 30 days old may no longer be active, so check Procter & Gamble's site before applying.
- **Does Procter & Gamble offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Procter & Gamble's site.
- **Where is this role located?** The listing gives the location as Switzerland. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, SQL, Machine Learning, Generative AI, Agentic AI, Operations Research, Optimization, Simulation, Spark, Cloud Computing, Git, CI/CD, DevOps, Statistics, Feature Engineering, Deep Learning.

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