Über das Unternehmen
Google’s mission is to organize the world’s information and make it universally accessible and useful. In Zurich, one of our largest engineering hubs outside the US, we’re at the forefront of innovation, contributing to global products like Search, YouTube, and Gmail. Join a diverse and international team dedicated to solving complex challenges and making a real impact on billions of users worldwide. We foster a culture of curiosity, collaboration, and continuous learning, providing an environment where your ideas can thrive.
Stellenbeschreibung
We are seeking an experienced Data Scientist to join our dynamic team in Zurich. This role is crucial for leveraging data to drive strategic decisions and improve product performance across various Google initiatives. You will work with vast datasets, applying advanced analytical techniques, machine learning models, and statistical methods to uncover insights, predict trends, and optimize user experiences. We are a highly international team, and proficiency in German is not a requirement for this position. We offer comprehensive relocation support to help you make a smooth transition to life in beautiful Switzerland.
Hauptverantwortlichkeiten
- Design and implement end-to-end analytical solutions, from data extraction and cleaning to model deployment and interpretation.
- Develop and apply statistical models and machine learning algorithms to solve complex business problems.
- Conduct in-depth data analysis to identify trends, patterns, and insights that inform product strategy and development.
- Collaborate with product managers, engineers, and other stakeholders to define metrics, design experiments, and evaluate impact.
- Communicate complex analytical findings and recommendations clearly and concisely to technical and non-technical audiences.
- Build and maintain robust data pipelines and dashboards for monitoring key performance indicators.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, and integrate new techniques where appropriate.
Erforderliche Fähigkeiten
- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- 3+ years of experience in a Data Scientist or similar analytical role.
- Strong proficiency in SQL and Python or R for data manipulation, analysis, and statistical modeling.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Solid understanding of statistical concepts, experimental design, and A/B testing.
- Ability to translate business problems into quantitative questions and actionable insights.
- Excellent communication and presentation skills in English.
Bevorzugte Qualifikationen
- Master's or Ph.D. in a quantitative field.
- Experience with big data technologies (e.g., Hadoop, Spark, Google Cloud Platform's BigQuery).
- Familiarity with data visualization tools (e.g., Tableau, Looker, Google Data Studio).
- Experience working in a large-scale, international tech environment.
- Demonstrated ability to drive projects from conception to completion independently.
Vorteile & Zusatzleistungen
- Comprehensive relocation package and visa sponsorship for international candidates.
- Competitive salary and equity package.
- Generous paid time off and parental leave.
- World-class health, dental, and vision insurance.
- Free healthy meals, snacks, and beverages on campus.
- On-site fitness centers, wellness programs, and recreational facilities.
- Opportunities for professional development and continuous learning.
- Access to cutting-edge technology and innovative projects.
- A vibrant and inclusive international work environment.
So bewerben Sie sich
Wenn Sie an dieser Stelle interessiert sind, klicken Sie bitte auf den untenstehenden Button „Jetzt bewerben“. Um sicherzustellen, dass Ihre Bewerbung berücksichtigt wird, fügen Sie bitte Folgendes bei:
- Einen aktuellen Lebenslauf
- Ein kurzes Anschreiben, das Ihre Erfahrung und Motivation zusammenfasst
Bewerbungen werden laufend geprüft. Nur Kandidaten, die in die engere Wahl kommen, werden zu einem Vorstellungsgespräch eingeladen.
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