TL;DR

Head of Data Science (Commercial AI): Setting the strategic directi%hirify_global% and leading complex, high-impact projects to elevate %hirify_global%'s marketing and commercial performance through industry-leading machine learning and AI soluti%hirify_global%s. Focus %hirify_global% optimizing marketing decisi%hirify_global% making, developing customer predicti%hirify_global% models (e.g., CLV, churn, product recommendati%hirify_global%s), and ensuring algorithm performance with measurable business impact.

Locati%hirify_global%: Zurich

Company

%hirify_global% is a company that leverages machine learning and AI to optimize its commercial and marketing performance, enhancing customer experience and business growth.

What you will do

Set priorities and implementati%hirify_global% strategy for Commercial AI initiatives in close partnership with stakeholders.
Build and nurture a high-performing AI team, promoting mentoring and growth opportunities.
Lead the design and implementati%hirify_global% of machine learning and AI pipelines to optimize marketing decisi%hirify_global% making.
Develop and refine models such as Customer Lifetime Value, customer product recommendati%hirify_global%, and churn predicti%hirify_global%, incorporating advanced ML and GenAI.
Be resp%hirify_global%sible for algorithm performance, including oversight of QA metrics and processes, and validating measurable impact through experimentati%hirify_global%.
Effectively communicate the impact and efficacy of marketing ML and AI applicati%hirify_global%s to all organizati%hirify_global%al levels.

Requirements

Must be based in Zurich
Proven data science leadership and domain expertise in ML and AI design and producti%hirify_global% implementati%hirify_global%, with a str%hirify_global%g understanding of ML Operati%hirify_global%s principles.
Track record in the digital marketing landscape, with a clear understanding of predicti%hirify_global% models, classifiers, user behavior, and website performance.
Experience managing high-performing teams, providing space for growth whilst ensuring high quality output.
Adept at communicating the behavior of complex systems to executives and n%hirify_global%-technical audiences, with data visualizati%hirify_global% experience.
Excellent interpers%hirify_global%al skills, with the ability to influence stakeholders and drive c%hirify_global%sensus.
Thrive in a dynamic and fast-paced envir%hirify_global%ment, possessing a proactive attitude.

Nice to have

Familiarity with cloud-based machine learning platforms (e.g., Vertex AI).
Experience with Google Cloud, batch, and streaming technologies.

Head Of Data Science (Commercial AI)