Our client Advertima is looking for a Senior Data Scientist.
About Advertima Advertima is building the infrastructure that brings the power of digital advertising into physical retail. While in‑store advertising still relies on static screens and lacks measurable performance, online advertising has evolved into a trillion‑dollar, data‑driven ecosystem. Advertima is closing this gap.
Our technology transforms retail environments into real‑time, data‑driven media channels using computer vision, edge computing, and AI. We convert physical shoppers into anonymized digital audiences that can be measured, targeted, and activated instantly—without storing personal data.
Global retailers such as Walmart, Carrefour, EDEKA, SPAR, and FairPrice are already deploying our platform across thousands of stores. Together we are defining a new global standard for in‑store retail media.
This involves complex challenges across distributed systems, edge AI, real‑time data processing, cloud infrastructure, and privacy‑first design—built from our engineering hub in Zurich.
Role Overview We are looking for a Senior Data Scientist to turn real‑world shopper, campaign, and retail data into analytics products that deliver measurable value for retailers, agencies, and brands. You will work at the intersection of data science, analytics engineering, and business consulting. Your focus will be to design analytical frameworks, develop insights, and drive customer success through data‑driven decision‑making.
Responsibilities
Transform sensor, campaign, and retailer data into structured analytics frameworks
Define metrics and methodologies for scalable analytics datasets
Build dashboards and analytics products for customers and internal teams
Write and optimize complex SQL queries on large datasets
Develop analytics workflows for modeling, validation, and experimentation insights
Collaborate with client‑side data teams to align methodologies
Work closely with Data Engineers and Product teams on pipelines and delivery
Validate data quality and improve monitoring processes
Contribute to emerging retail media measurement standards
Qualifications
Degree in Data Science, Statistics, Computer Science, or similar
5+ years of experience in data science, analytics, or measurement roles
Experience in retail, media, advertising, or marketing analytics
Strong Python skills for analytics and modeling
Experience with modern data platforms such as BigQuery, Databricks, or similar
Experience building metrics, dashboards, and business‑facing analytics
Ability to translate data into clear insights for non‑technical stakeholders
Experience collaborating with data engineering teams
Strong communication skills; fluent in English
Retail media or campaign measurement experience
Attribution or incrementality modeling experience
Experience with sensor‑based or behavioral data analytics
Benefits & Opportunities
Innovative tech: Work with AI, edge computing, and real‑time data pipelines
Global impact: Shape the future of retail media with leading global retailers
Growth opportunities: Evolving roles with leadership prospects
Startup culture: Fast‑paced, collaborative, and impactful work
Work‑life balance: Employee participation in flexible work arrangements
Culture & Values
Ownership and self‑management
Adaptability and hands‑on mindset
Curiosity and continuous learning
Strong collaboration and feedback within teams
Interest in shaping and building new standards
If you enjoy turning complex data into impactful insights and want to help define the future of in‑store retail media, we’d love to hear from you.
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About Advertima Advertima is building the infrastructure that brings the power of digital advertising into physical retail. While in‑store advertising still relies on static screens and lacks measurable performance, online advertising has evolved into a trillion‑dollar, data‑driven ecosystem. Advertima is closing this gap.
Our technology transforms retail environments into real‑time, data‑driven media channels using computer vision, edge computing, and AI. We convert physical shoppers into anonymized digital audiences that can be measured, targeted, and activated instantly—without storing personal data.
Global retailers such as Walmart, Carrefour, EDEKA, SPAR, and FairPrice are already deploying our platform across thousands of stores. Together we are defining a new global standard for in‑store retail media.
This involves complex challenges across distributed systems, edge AI, real‑time data processing, cloud infrastructure, and privacy‑first design—built from our engineering hub in Zurich.
Role Overview We are looking for a Senior Data Scientist to turn real‑world shopper, campaign, and retail data into analytics products that deliver measurable value for retailers, agencies, and brands. You will work at the intersection of data science, analytics engineering, and business consulting. Your focus will be to design analytical frameworks, develop insights, and drive customer success through data‑driven decision‑making.
Responsibilities
Transform sensor, campaign, and retailer data into structured analytics frameworks
Define metrics and methodologies for scalable analytics datasets
Build dashboards and analytics products for customers and internal teams
Write and optimize complex SQL queries on large datasets
Develop analytics workflows for modeling, validation, and experimentation insights
Collaborate with client‑side data teams to align methodologies
Work closely with Data Engineers and Product teams on pipelines and delivery
Validate data quality and improve monitoring processes
Contribute to emerging retail media measurement standards
Qualifications
Degree in Data Science, Statistics, Computer Science, or similar
5+ years of experience in data science, analytics, or measurement roles
Experience in retail, media, advertising, or marketing analytics
Strong Python skills for analytics and modeling
Experience with modern data platforms such as BigQuery, Databricks, or similar
Experience building metrics, dashboards, and business‑facing analytics
Ability to translate data into clear insights for non‑technical stakeholders
Experience collaborating with data engineering teams
Strong communication skills; fluent in English
Retail media or campaign measurement experience
Attribution or incrementality modeling experience
Experience with sensor‑based or behavioral data analytics
Benefits & Opportunities
Innovative tech: Work with AI, edge computing, and real‑time data pipelines
Global impact: Shape the future of retail media with leading global retailers
Growth opportunities: Evolving roles with leadership prospects
Startup culture: Fast‑paced, collaborative, and impactful work
Work‑life balance: Employee participation in flexible work arrangements
Culture & Values
Ownership and self‑management
Adaptability and hands‑on mindset
Curiosity and continuous learning
Strong collaboration and feedback within teams
Interest in shaping and building new standards
If you enjoy turning complex data into impactful insights and want to help define the future of in‑store retail media, we’d love to hear from you.
#J-18808-Ljbffr
Senior Senior Data Scientist Retail Media Arbeitgeber: Advertima
Advertima ist ein hervorragender Arbeitgeber, der in Zürich ansässig ist und eine dynamische Arbeitsumgebung bietet, in der Innovation und Zusammenarbeit gefördert werden. Mit einem starken Fokus auf Mitarbeiterentwicklung und einer Kultur, die Kreativität und Teamarbeit schätzt, haben Sie die Möglichkeit, Ihre Fähigkeiten in der Datenwissenschaft weiter auszubauen und an spannenden Projekten zu arbeiten, die den Einzelhandel revolutionieren. Zudem profitieren Sie von flexiblen Arbeitszeiten und einem inspirierenden Bürostandort im Herzen von Zürich.
