Data Scientist

A propos

Digeiz provides high-traffic sites (e.g. shopping centers, train stations, airports) with unparalelled first party statistics on their pedestrian flows. Its suite of KPIs help business models based on traffic and audience monetization in the physical world to thrive.

Digeiz supports its clients by providing expertise in the generation and use of these statistics, from traditional commercial real estate businesses to media applications (DOOH & programmatic).
The software developed by Digeiz leverages neural networks and CCTV images in full compliance with the GDPR. Digeiz processes all images in real time, without recording.

The anonymous footfall data provided offers endless business applications such as: measurement and segmentation of entrances / exits flows, understanding customer journeys, designing drive-to-store strategies, and measuring media campaign performance.

The Digeiz solution is being deployed into 9 countries, in the largest shopping centers in Europe.

Descriptif du poste

CONTEXT

DiGEiZ’s Footfall data offers endless business applications (e.g. merchandising mix, audience segmentation, drive-to-store strategies, media campaign analysis). With 7 shopping malls deployed and +25 more to come acrross all Europe in the next 2 years, we are building the Data & Insights team to help our clients leverage DiGEiZ’s solution.

MISSION

We are opening positions for data analysts x consultants to join this new business department. We seek candidates with advanced analytics experience related to business intelligence and academic backgrounds in a field linked to applied mathematics, statistics, machine learning, or other related fields.

• Run business analysis and quality checks on extensive footfall data
• Prepare C-level client workshops to identify value creation levers based on footfall data
• Work closely with the tech and R&D teams to setup automatic analytics for clients
• Contribute to the success of the Insights team (e.g. structure, Insights content)

Profil recherché

Experience

• Graduated from a top tier engineering/business school or university
• 1-2y. experience with advanced analytics related to business intelligence (bonus: & familiar with retail)

Skills

• Familiar with the standard Analytics toolkit (R/Python for analysis, Tableau/Power BI fo visualization)
• Strong communication and presentation skills (verbal and written)

Values

• Team-player willing to build a leader company
• Reliable, get things done and nice
• Ambitious

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