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Senior Data Scientist
CHF 95’000 - 125’000
On
Förrlibuckstrasse 190, Zürich
CHF 95’000 - 125’000
Requirements
Must:
- Senior Data Scientist with expertise in marketing science, machine learning, and AI algorithm design and production implementation.
- Proven track record in the digital marketing landscape, especially within a D2C/E-commerce environment.
- Strong understanding of prediction models, classifiers, user behavior, and website performance.
- Proficiency in batch and streaming ML & AI applications with the ability to design and execute machine learning pipelines.
- Strong understanding of ML Operations principles.
- Track record of identifying the right problems to maximize business impact.
- Excellent communication, presentation, and interpersonal skills.
- Ability to influence stakeholders and drive consensus.
- Experience with data visualization tools and techniques.
- Familiarity with cloud-based machine learning platforms (e.g., Vertex AI).
Responsibilities
- Build strong relationships with key stakeholders, such as Digital Marketing and Customer Experience, to design data flows and AI strategies.
- Proactively identify, prioritize, and solve challenging marketing problems utilizing expertise in data and AI.
- Drive research into the state of the art for marketing science.
- Lead the design and implementation of machine learning and AI pipelines to optimize marketing decision-making in collaboration with marketing teams.
- Develop and refine models including Customer Lifetime Value, customer product recommendation, and churn prediction, using advanced ML techniques and the latest GenAI technologies.
- Responsible for algorithm performance, including designing QA metrics and processes, and validating measurable impact through experimentation.
- Effectively communicate the impact and efficacy of marketing ML and AI applications to all levels of the organization.
Description
We are a growing team of passionate Data Scientists and Machine Learning Engineers working to build creative and impactful models end-to-end that personalize experiences, optimize decision-making, and predict future trends. We sit within Technology and have the opportunity to collaborate across the organization. If optimizing how we use and consume data to support growth through data excites you, we'd love to hear from you! On is a place centered around growth and progress, offering an environment designed to give people the tools to develop holistically – to stay active, to learn, explore, and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere with access to personal self-care for both physical and mental well-being, ensuring that each person is led by purpose. On is an Equal Opportunity Employer committed to creating a fair and inclusive work environment, free of discrimination in recruitment, advancement, and retention decisions.
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You can find Data Engineer salaries in Switzerland here.
How many Data Engineer jobs are in Switzerland?
Currently, there are 303 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is Switzerland a good place for Data Engineers?
Switzerland is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in Switzerland?
CONVOTIS Swiss Cloud AG, Genius Sports, Cyberlink AG, LST AG, Kadoa, healthinal, Swissquote among others, are currently hiring for Data roles in Switzerland.
The company with most openings is Innovation Process Technology AG as they are hiring for 23 different Data Engineer jobs in Switzerland. They are probably quite committed to find good Data Engineers.
The company with most openings is Innovation Process Technology AG as they are hiring for 23 different Data Engineer jobs in Switzerland. They are probably quite committed to find good Data Engineers.