Location: Zurich / Geneva / Basel / Lausanne, Switzerland (Hybrid or On-site)

Department: Data Science / Analytics / Technology

Employment Type: Full-time

Reports to: Head of Data / Chief Data Officer

We are looking for an experienced and visionary Data Science Manager to lead our data science team and drive data-driven decision-making across the organization.

In this role, you will be responsible for managing a team of data scientists, machine learning engineers, and analysts, developing advanced analytical models, and implementing scalable data solutions that support strategic initiatives. The ideal candidate has a strong background in machine learning, data strategy, and people leadership.

• Lead, mentor, and grow a high-performing data science team to deliver impactful business insights.
• Define and execute the data science strategy aligned with organizational objectives.
• Oversee the development, validation, and deployment of machine learning and AI models for predictive analytics and optimization.
• Partner with business units to identify data-driven opportunities and design actionable solutions.
• Collaborate with data engineering teams to ensure data quality, infrastructure scalability, and model integration.
• Drive experimentation, model performance monitoring, and continuous improvement.
• Translate complex analytical findings into clear business recommendations and executive presentations.
• Ensure compliance with data privacy regulations (GDPR) and ethical AI principles.
• Stay current with emerging technologies, algorithms, and best practices in data science and AI.
• Manage project timelines, resource allocation, and stakeholder expectations.

• Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field.
• 6–10 years of experience in data science, machine learning, or analytics, with at least 2–3 years in a leadership role.
• Strong proficiency in Python, R, and SQL, and familiarity with data science libraries (Pandas, Scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (Spark, Databricks, Hadoop) and cloud platforms (AWS, GCP, or Azure).
• Solid understanding of MLOps, model deployment, and production pipelines.
• Proven track record of delivering data science solutions that drive measurable business value.
• Strong leadership, communication, and stakeholder management skills.
• Ability to work in a fast-paced, cross-functional, and data-driven environment.
• Fluent in English; German or French is an advantage.

• Competitive Swiss market salary and comprehensive benefits package.
• Hybrid working flexibility (office + remote).
• Opportunity to lead high-impact, data-driven initiatives in a dynamic environment.
• Access to advanced tools, cloud infrastructure, and large-scale datasets.
• Collaborative, innovation-oriented, and inclusive work culture.
• Professional growth opportunities in data leadership and strategic analytics.