Data Scientist Advertising

About the Team

Our mission on the Advertising Product & Technology team at Spotify is to build a next-generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for our fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.

We are currently recruiting for a Data Scientist within the multidisciplinary Advertising Product Insights team. This role is focused on supporting the scaling of the future of Spotify Advertising, our self-service advertising platform, Spotify Ads Manager. Our work sits at the intersection of R&D and the Ads business, and we are responsible for bringing the right data and insights to our breadth of stakeholders to understand Spotify Ads Manager performance and the advertiser experience with Spotify.

Our mission is to enable the product and business teams to meet their objectives through evidence-based decision making and customer focus.

The Role of a Data Scientist Advertising

As a Data Scientist Advertising in this group, you will use a range of data science tools and capabilities to work closely with product, design, engineering, user research, product marketing, and our business stakeholders on one or more of the following areas:

• Customer-facing product development for advertisers
• Data requirements and management for our ever-expanding platform
• Spotify Advertiser and Spotify Ads Manager growth initiatives
• Experimentation, causal inference, and insights for Spotify Ads Manager optimization
• Defining new metrics, forecasts, and benchmarks for product evolution
• Evolving Ads Manager self-service performance and UX reporting

What You'll Do

• Perform analyses on large sets of data to extract practical insights that will help drive product, platform, and business decisions throughout all stages of the product development lifecycle.
• Define data requirements and support the implementation of data specifications for product launches.
• Support the management and maintenance of the Spotify Ads Manager’s data and reporting (including dashboards) ecosystem.
• Build lasting solutions to surface critical data and performance metrics.
• Design and conduct experiments to drive iterative improvement to both user and advertiser metrics through efficient experimentation.
• Communicate data-driven insights and recommendations to key partners.
• Develop individually to continue to grow your impact, and help mentor peers and early career colleagues.

Who You Are

• You have 3+ years experience in a similar data science role.
• You are interested in supporting the growth of a maturing platform, building the foundation for the future of Spotify Advertising.
• Ideally, you have experience working in an analytics role that focuses on improving internal decision making while working with one of - platform teams, product teams, sales teams, or marketing teams.
• You have the technical competence to perform more advanced analytics: Coding skills for analytics and data extraction (SQL, Python - packages such as pandas and numpy) and Data visualization (Tableau, Looker, matplotlib).
• You have experience performing analysis with large datasets.
• You have a strong understanding of statistics and machine learning.
• You value cross-disciplinary work and understand how to match qualitative research with your quantitative analysis.
• You are capable of solving very loosely defined problems.
• You are a communicative person that values building strong relationships with colleagues and collaborators and have the ability to explain complex topics in simple terms.
• You are curious, exhibit a growth mindset, and are excited by working on a constantly evolving team.

Where You'll Be

We are a distributed workforce enabling our band members to find a work mode that is best for them! For this role, it can be anywhere in the North America region in which we have a work location. We operate within the Eastern time zone for collaboration. Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences.

Key skills/competency

• Data Science
• Advertising Platform
• SQL
• Python (pandas, numpy)
• Data Visualization (Tableau, Looker)
• Experimentation Design
• Causal Inference
• Product Analytics
• Stakeholder Communication
• Machine Learning Basics