Auf einen Blick
- Aufgaben: Löse komplexe Geschäftsprobleme mit Datenanalysen und KI-Lösungen.
- Unternehmen: Innovatives Unternehmen, das auf Datenwissenschaft spezialisiert ist.
- Vorteile: Wettbewerbsfähiges Gehalt, jährliche Boni und Gesundheitsleistungen.
- Weitere Informationen: Dynamisches Team mit großartigen Entwicklungsmöglichkeiten.
- Warum dieser Job: Gestalte die Zukunft der KI und mache einen echten Unterschied.
- Qualifikationen: Mindestens 5 Jahre Erfahrung in Data Science und starke Programmierkenntnisse.
Das prognostizierte Gehalt liegt zwischen 67500 - 78000 € pro Jahr.
Overview As a Senior 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 generative and agentic AI, working closely with product, engineering, and business partners to deliver measurable outcomes.
Responsibilities 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.
Qualifications 5+ years of experience in Data Science or related field, with proven record of business impact.
Doctoral level research involving the use or development of AI/ML techniques may be considered in lieu of professional experience.
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 Dev Ops-style environments.
Experience with large datasets and cloud computing platforms such as GCP or Azure, building solutions that can scale to production.
Strong problem-solving skills, curiosity, and 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.
Strong written and verbal communication skills, with the ability to influence others to take action; ability to translate complex topics into concepts that non-technical people can understand and buy into.
Benefits Competitive salary over 13 months with annual compensation review.
Yearly bonus based on business unit and company performance.
Contribution to medical insurance.
Senior Data Scientist Arbeitgeber: Procter & Gamble
Procter & Gamble in Genf bietet nicht nur eine spannende Praktikumsstelle als Data Scientist, sondern auch ein dynamisches Arbeitsumfeld, das Vielfalt und Inklusion fördert. Unsere Mitarbeiter profitieren von umfangreichen Entwicklungsmöglichkeiten, einem unterstützenden Team und der Chance, an innovativen Projekten zu arbeiten, die einen echten Einfluss auf die Unternehmensleistung haben. Werden Sie Teil eines globalen Unternehmens, das Wert auf Ihre persönliche und berufliche Entfaltung legt.
