Head Of Data Science (Commercial AI)

TL;DR

Head of Data Science (Commercial AI): Setting the strategic directihirify.global and leading complex, high-impact projects to elevate hirify.global's marketing and commercial performance through industry-leading machine learning and AI solutihirify.globals. Focus hirify.global optimizing marketing decisihirify.global making, developing customer predictihirify.global models (e.g., CLV, churn, product recommendatihirify.globals), and ensuring algorithm performance with measurable business impact.

hirify.global">Locatihirify.global: hirify.globalg>Zurichhirify.globalg>

hirify.global">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 implementatihirify.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 implementatihirify.global of machine learning and AI pipelines to optimize marketing decisihirify.global making.
• Develop and refine models such as Customer Lifetime Value, customer product recommendatihirify.global, and churn predictihirify.global, incorporating advanced ML and GenAI.
• Be resphirify.globalsible for algorithm performance, including oversight of QA metrics and processes, and validating measurable impact through experimentatihirify.global.
• Effectively communicate the impact and efficacy of marketing ML and AI applicatihirify.globals to all organizatihirify.globalal levels.

Requirements

• hirify.globalg>Must be based in Zurichhirify.globalg>
• Proven data science leadership and domain expertise in ML and AI design and productihirify.global implementatihirify.global, with a strhirify.globalg understanding of ML Operatihirify.globals principles.
• Track record in the digital marketing landscape, with a clear understanding of predictihirify.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 nhirify.global-technical audiences, with data visualizatihirify.global experience.
• Excellent interpershirify.globalal skills, with the ability to influence stakeholders and drive chirify.globalsensus.
• Thrive in a dynamic and fast-paced envirhirify.globalment, 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.