Data Science Lead, Creator Marketing

Key Skills

C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

We are looking for a passionate marketing data science leader to join the Creator Marketing team - Spotify’s division dedicated to helping artists thrive by providing the most valuable tools to create music, build an audience, monetize their fans, and ultimately live off their work.

Spotify for Artists is used by more than a million artists monthly to get insights, reach new listeners, and deepen the connection with their audience. We are looking to invest in Marketing Data Science as part of the Creator Marketing organization and are seeking a strong leader to build out this capability.

We are looking for an experienced marketing data scientist who can generate useful insights and help shape the organization’s strategy working with the Global Head of Creator Marketing and the leadership team. You will also power some of Spotify’s most impactful creator-facing marketing campaigns: these include global franchises like Spotify Artist Wrapped or Fan Study. Lastly, you’ll be responsible for the measurement of marketing impact, attribution, and incremental testing while at the same time setting up the data infrastructure to support our long-term marketing vision.

In this role, you’ll report to the Global Head of Creator Marketing. You will also be a part of a wider community of 40+ data scientists and researchers building creator-facing products. This is a crucial role for our organization. The ideal candidate will have impeccable data skills, the ability to work with both marketing managers and engineers, and ideally a passion for music.

What you'll do

• Work closely with cross-functional teams of marketing managers, data scientists and the wider R&D organization who are passionate about helping artists thrive
• Deliver data stories to power Spotify for Artists’s most impactful data storytelling campaigns such as Artist Wrapped and Fan Study
• Use data insights to inform Spotify’s global creator marketing strategy in close partnership with the Creator Marketing leadership team
• Develop metrics & marketing attribution models to improve our understanding of impact and enable us to iterate
• Develop data-driven case studies to showcase the impact of our products and services that can be used across marketing touchpoints to activate customers
• Build out and maintain dashboards to support data-driven decision-making across wider Creator Marketing organization.
• 6+ years of experience working with data to drive marketing initiatives
• Experience crafting success metrics, running power analyses, determining statistical significance, and presenting actionable insights with clear recommendations or implications. You have experience with marketing attribution models, causal inference or marketing mix modeling.
• Experience with data modeling & engineering, including creating robust pipelines pulling data from 3rd party and internal APIs and large-scale datasets.
• You have a good understanding of marketing: you are familiar with marketing channels, SEM, social measurement, the difference between paid and unpaid channels etc
• You are capable of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences.
• You’re a compelling storyteller who can communicate in succinct and inspiring ways to audiences with varied data science experience to influence real world product or feature decisions.
• Proficiency in Python, SQL and Tableau.
• Knowledge of Django, Flask or other web frameworks preferred
• Bonus if you’ve got exposure to Braze, mParticle, Google Analytics, or similar growth marketing tools.
• Comfortable working with distributed teams across multiple offices and timezones
• We are a distributed workforce enabling our band members to find a work mode that is best for them!
• Where in the world? For this role, it can be within the Americas region in which we have a work location.
• Working hours? We operate within the Eastern Standard time zone for collaboration.
• Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here