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.
Eligibility / Qualification Required:
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.
How to Apply:
Apply online through the official P&G careers portal.
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