# Senior Data Scientist at PGBPGNGLOBAL

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> Responsibilities: - Translate ambiguous business problems in

- **Company:** PGBPGNGLOBAL (https://jobs.trythestack.co/companies/pgbpgnglobal)
- **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, Feature Engineering, Deep Learning, Reinforcement 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://www.pgcareers.com/global/en/job/R000155289/Senior-Data-Scientist (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-data-scientist-pgbpgnglobal

## About the role

Responsibilities:
- Translate ambiguous business problems into measurable analytics/AI objectives (hypotheses, success metrics, evaluation plans).
- Explore data, build features and develop models across ML, deep learning, RL and operations research methods (optimization, simulation).
- Design and apply Generative and Agentic AI where it adds value (copilots, decision-support, intelligent workflows).
- Partner with Data/AI Engineering to productionize models in cloud environments (GCP/Azure/Spark) following software engineering best practices.
- Own end-to-end delivery: prototyping, validation, deployment, monitoring and continuous improvement.
- Communicate findings and trade-offs to stakeholders; mentor colleagues and contribute to global data science standards.

Requirements:
- 5+ years in data science or equivalent; PhD with relevant research may substitute for experience.
- Strong programming in Python and SQL; experience with Spark or similar big-data stacks.
- Solid foundations in statistics, experimental design and ML algorithm development.
- Familiarity with operations research (optimization/simulation) is a strong advantage.
- Experience deploying scalable solutions to cloud platforms, and following Git, testing and CI/CD practices.
- Excellent communication and collaboration skills to influence cross-functional stakeholders.

## Responsibilities

Design, build, and deploy scalable AI and analytics solutions to solve high-impact business problems. This includes framing ambiguous questions into technical problems and partnering with engineering teams to productionize models 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 foundations with experience in cloud platforms like GCP or Azure.

## 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 PGBPGNGLOBAL's site before applying.
- **Does PGBPGNGLOBAL offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on PGBPGNGLOBAL'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, Feature Engineering, Deep Learning, Reinforcement Learning.

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