Marketing Scientist: Data-Driven Growth & Ads Impact

Snap Inc.; Paris; Sur place; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Comprehensive medical coverage

Flexible Spending Accounts

Gym perks and discounts

Unlimited access to virtual physical therapy

Generous vacation and sick days

Résumé du poste

Snap Inc. is seeking a Data Scientist to enhance marketing effectiveness and deliver business insights using massive data sets. The ideal candidate will have over 5 years of experience in analytics, proficiency with tools like SQL and R, and a strong understanding of digital advertising.

The role involves close collaboration with Product and R&D teams, leading efforts to create innovative solutions and measurement capabilities across various verticals. Fluency in French is essential, along with a deep knowledge of the measurement ecosystem.

Qualifications

• 5+ years of experience in advanced analytics and measurement within technology or media.
• Ability to lead projects across multiple cross-functional teams.
• Experience with ads measurement and negotiation of contracts.

Responsabilités

• Leverage data sets into actionable insights to deliver business value.
• Improve decision-making quality and speed across the organization.
• Drive marketing effectiveness through causal analytics and learning strategies.

Connaissances

Analytical skills

Proficient in SQL

Knowledge of digital advertising

Fluent in French

Formation

Bachelor’s degree in a quantitative or business field

Advanced degree in related field

Outils

SQL

R

SAS

Description du poste

Snap Inc. is seeking a Data Scientist to enhance marketing effectiveness and deliver business insights using massive data sets. The ideal candidate will have over 5 years of experience in analytics, proficiency with tools like SQL and R, and a strong understanding of digital advertising.

The role involves close collaboration with Product and R&D teams, leading efforts to create innovative solutions and measurement capabilities across various verticals. Fluency in French is essential, along with a deep knowledge of the measurement ecosystem.