Marketing and Online Marketing / Communication Specialist
We are looking for a highly skilled professional to fill this position.
Main Responsibilities
* Data Analysis: Work with diverse datasets to generate insights and drive business forward.
* Machine Learning: Leverage expertise to identify suitable analyses and apply appropriate machine learning solutions to solve challenges.
* Generative AI: Harness the power of Generative AI to optimize and streamline business processes.
* Business Insight: Work in close partnership with internal teams to bridge the gap between advanced data analysis and business functions.
* Agile Methodology: Adapt and contribute to agile development process, responding flexibly to changing project requirements and priorities.
* Knowledge Sharing: Stay up-to-date with the latest developments in machine learning and share insights with the team.
Requirements
* Master's degree or PhD in economics, business informatics, computer science, engineering, or similar field.
* Proven track record in advanced analytics and machine learning, preferably in the Swiss healthcare sector.
* Excellent analytical, conceptual, and problem-solving skills, and advanced knowledge of statistical methods, data modeling, and working with databases.
* Experience with transitioning machine learning models from development to production, with a focus on seamless integration and efficient operations.
* Fluency in Python and SQL; other scripting languages and business intelligence tools are an advantage.
* Team player with excellent communication skills, committed to contributing positively to our team's dynamics and project success.
* Adaptable and agile mindset, ready to contribute to evolving project needs and changing focus areas.
* Language proficiency in German or French, in addition to fluency in English.
What We Offer
Benefits may vary depending on the division and position.
Five weeks' holiday, with the option of buying additional days or taking unpaid leave.
Pension fund with advantageous premium split.
Variety of discounts at top brands.
Sponsored education and training opportunities.
Family-friendly policies, including maternity and paternity leave.
Registered shares at preferential prices.
Mobile and flexible working arrangements.