Senior Data Scientist (Marketing)

Join Pinterest as a Senior Data Scientist in the Marketing team. In this role, you will apply scientific methods to enhance marketing measurement and optimization processes, driving revenue growth and shaping the company's marketing strategy. You will collaborate with cross-functional partners, analyze advertiser behavior, design advanced marketing measurement frameworks, and translate complex analytical findings into actionable insights. The ideal candidate has 6+ years of experience in applying scientific methods to real-world problems, expertise in scripting languages and SQL, and a strong background in statistics and quantitative analysis.

- Analyser le comportement des annonceurs tout au long de l'entonnoir pour identifier les facteurs influençant l'acquisition, la conversion, la rétention et le désabonnement. - Diriger la conception, la mise en œuvre et l'amélioration continue de cadres de mesure marketing avancés et de modèles statistiques pour quantifier le retour sur investissement marketing. - Développer et affiner les méthodologies d'attribution pour évaluer l'efficacité des initiatives marketing sur plusieurs canaux.

- 6+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems - Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Ability to write efficient SQL queries - Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems - Experience leading key technical projects - Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams, especially non-technical audiences. Explains work and thought processes clearly and concisely - Strong business and product sense. Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions - Strong Experimentation background - Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering - Statistical rigor. Experience with causal inference projects - Hands-on experiences with building marketing measurement solutions to quantify the business impact of marketing tactics and investments