Location PETIT-LANCY, GENEVA, Geneva, Switzerland Category Information Technology Job Id R000155037 Job Type Full time Experienced Professionals
Job Location
GENEVA BUSINESS CENTER
Job Description
As a Data Scientist, you will tackle high-impact business problems by turning complex, large-scale data into scalable analytics and AI solutions. You will design, build, and deploy models - spanning machine learning, optimization/simulation, and emerging Generative & Agentic AI - working closely with product, engineering, and business partners to deliver measurable outcomes.
What you will do
Frame ambiguous business questions into well-defined analytics/AI problems (hypotheses, success metrics, and evaluation approach)
Perform exploratory analysis, feature engineering, and model development on large, complex datasets to uncover non-obvious insights
Design and implement advanced algorithms across machine learning (e.g., tree models, deep learning, reinforcement learning) and Operations Research (optimization, simulation)
Apply Generative and Agentic AI techniques where they create value (e.g., copilots, intelligent workflows, decision-support systems)
Partner with Data/AI Engineering to productionize and deploy solutions in cloud environments with strong software engineering practices
Own solutions end-to-end: problem definition, modeling, validation, deployment, monitoring, and continuous improvement
Communicate complex results clearly and influence decisions by translating technical work into business impact and trade-offs
Contribute to a global community of data scientists and engineers - sharing learnings, raising the bar on standards, and mentoring others
Job Qualifications
What we are looking for
Experience delivering real-world data science and algorithm-based solutions with measurable impact
Strong programming skills in Python and SQL; comfort working with modern data/compute stacks (e.g., Spark)
Strong foundations in machine learning, statistics, and experimental thinking
Knowledge of Operations Research methods (optimization and/or simulation) is a strong advantage
Familiarity with software engineering best practices (Git, testing, CI/CD) and working in DevOps-style environments is a plus
Hands-on experience with large datasets and building solutions that can scale to production
Experience developing and testing in cloud environments (e.g., Azure, GCP) is a plus
Strong problem-solving skills, curiosity, and the ability to navigate ambiguity
Collaborative mindset: able to partner across disciplines (engineering, product, business) and independently drive topics end-to-end
Clear communicator who can explain complex technical solutions to non-technical audiences and drive alignment and action
What we offer
Competitive salary over 13 months with annual compensation review,
Yearly bonus based on business unit and company performance,
Contribution to medical insurance,
P&G stock purchase program with Company match,
Attractive Company pension plan (2nd pillar) incl. life and disability insurance,
Annual Flex Fund of 3,000 CHF gross to support your Wellbeing across a large menu of choices,
Holidays: 25 days per year with option to purchase up to 2 additional weeks per year.
APPLY NOW!
Apply by clicking on the button below.
Have your CV in English ready to attach (include examples of the challenging experiences you have had both within and outside academia).
Please note individual attachments cannot be larger than 500 KB.
At P&G, we value respect, diversity, and inclusion. We create an equal opportunity environment where everyone has the same access and chance to learn, grow, succeed, and develop. We do not discriminate based on race, religion, color, gender, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected factor.
Our Hiring Process is flexible and accessible to ensure equal opportunity and the ability to start your journey with us. We adapt to your needs from application to interviews. To learn more about the P&G Disability Accommodation process, click here.
Immigration sponsorship is available only for candidates with EU/EFTA (from Switzerland, Iceland, Liechtenstein, Norway) nationalities due to legal restrictions. For all candidates with non-EU/EFTA nationalities, we strongly encourage you to check our jobs in the other countries in which we operate. We might have a great career opportunity waiting for you elsewhere.
Job Schedule
Full time
Job Number
R000155037
Job Segmentation
Experienced Professionals
